WO2021210209A1 - Management device, management system, and program - Google Patents

Management device, management system, and program Download PDF

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Publication number
WO2021210209A1
WO2021210209A1 PCT/JP2020/041821 JP2020041821W WO2021210209A1 WO 2021210209 A1 WO2021210209 A1 WO 2021210209A1 JP 2020041821 W JP2020041821 W JP 2020041821W WO 2021210209 A1 WO2021210209 A1 WO 2021210209A1
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WO
WIPO (PCT)
Prior art keywords
activity data
information
analysis result
terminal
unit
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PCT/JP2020/041821
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French (fr)
Japanese (ja)
Inventor
仁 渡邉
顕大 平尾
桂林　浩
Original Assignee
ベストリハ株式会社
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Publication of WO2021210209A1 publication Critical patent/WO2021210209A1/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/30—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for calculating health indices; for individual health risk assessment
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H80/00—ICT specially adapted for facilitating communication between medical practitioners or patients, e.g. for collaborative diagnosis, therapy or health monitoring

Definitions

  • the present invention relates to a management device, a management system and a program.
  • Patent Document 1 proposes a wearable user state information acquisition device worn by a user such as a patient.
  • This device is attached to the wrist of the user and has a biometric information acquisition means for acquiring biometric information indicating the biometric characteristics of the user, an authentication means for authenticating the user using the biometric information, and the use.
  • Health information acquisition means for acquiring health information indicating the health condition of a person
  • position information acquisition means for acquiring position information indicating the position of the user
  • user authentication information indicating the authenticated user and the position. It is provided with a control means for storing information and the health information as association and user status information.
  • the device since the device is attached to the wrist of the user, the health information and the position information of the user can be obtained at all times without imposing a burden on the user of the device.
  • Patent Document 1 can only constantly acquire health information and location information of a patient or the like without imposing a burden on the patient or the like. If we can propose useful medical services for patients, etc. using activity data such as health information, in addition to acquiring health information and location information of patients, we will prevent diseases and reduce medical expenses. It can lead to that.
  • An object of the present invention is to provide a management device and a system capable of proposing a service useful for a patient or the like by using activity data or the like acquired from the patient or the like.
  • the present inventors have an activity data analysis unit that generates lifestyle analysis results based on activity data provided from the terminal, and disease risks and diseases based on the analysis results. It has been found that the above object can be achieved by providing a service screen generation unit that generates a screen including a proposal service corresponding to disease information of at least one of the degree of progression, and has completed the present invention. .. Specifically, the present invention provides the following.
  • the invention according to the first feature is an activity data analysis unit which is a management device connected to a terminal via a network and generates a lifestyle analysis result based on the activity data provided from the terminal, and the above-mentioned.
  • a service screen generation unit that generates a screen including a disease information of at least one of a disease risk and a disease progression based on an analysis result and a corresponding proposal service, and a management device including the service screen generation unit.
  • a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the terminal.
  • a screen including disease information based on the generated analysis result and the corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
  • a service that reflects not only the activity data but also the lifestyle analyzed based on the activity data. Furthermore, it is possible to propose a service that reflects disease information based on the analysis results. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
  • the invention according to the first feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like acquired from the patient or the like.
  • the invention according to the second feature is an invention according to the first feature, and the activity data analysis unit generates an evaluation for the activity data provided from the terminal based on the reference information regarding the activity data.
  • a management device having an evaluation generation unit, a disease information generation unit that generates the disease information based on the evaluation, and an analysis result generation unit that generates the analysis result based on the evaluation and the disease information. do.
  • the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
  • the evaluation for the activity data is generated based on the reference information, the influence of the subjectivity and arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved assessment in objectivity. Since the disease information is generated based on the evaluation thus generated and the analysis result is generated based on the generated disease information, it is possible to generate the analysis result improved in objectivity.
  • the invention according to the third feature is an invention according to the second feature, and the service screen generation unit generates a screen including the proposed service when the evaluation and the disease information satisfy a predetermined condition. , Provides management equipment.
  • the patient or the like may have a medical service and / or a health problem that scrutinizes the possibility of having a health problem. Further beneficial services such as corresponding medical services may be needed.
  • the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
  • predetermined conditions corresponding to the case where the patient or the like needs more services such as the conditions corresponding to the case where the evaluation and the disease information indicate the above-mentioned possibility. Since a screen including the proposal service is generated when the condition is satisfied, a service useful for the patient or the like can be proposed when the patient or the like needs the service more.
  • a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. Can be provided.
  • the invention according to the fourth feature is an invention according to any one of the first to third features, and when the disease information satisfies a specific condition, the information regarding the disease information is notified to the terminal.
  • the fourth feature when a patient or the like may suffer from some kind of disease, he / she can grasp information on the disease information through a terminal. This makes it possible to provide a management device capable of proposing even more useful services for patients and the like.
  • the invention according to the fifth feature is an invention according to any one of the first to fourth features, and provides a management device configured to be connectable to the terminal using wireless communication.
  • the management device can acquire the activity data provided from the terminal without connecting the management device and the terminal by wire. As a result, activity data can be acquired even in a situation where the management device and the terminal cannot be connected by wire. Therefore, according to the invention according to the fifth feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
  • the invention according to the sixth feature is the invention according to the fifth feature, further comprising an activity data receiving unit capable of receiving the activity data from the terminal using the wireless communication, and the activity data receiving unit is provided.
  • the activity data can be simultaneously received from the predetermined number or less of the terminals that can be simultaneously connected using the wireless communication, and subsequently, with the terminal that was the source of the activity data.
  • a management device which is a different terminal and can simultaneously receive the activity data from the predetermined number or less of the terminals.
  • the number of terminals that can be connected simultaneously using wireless communication can be limited to a relatively small number due to restrictions on the radio band that can be used in wireless communication and / or restrictions by the communication device used for wireless communication.
  • the management device can connect to all the terminals to be connected at the same time due to the limitation of the number of terminals that can be connected at the same time. There is a possibility that activity data cannot be received from terminals that were not connected at the same time.
  • the number of terminals that can be connected simultaneously using wireless communication is smaller than the total number of terminals due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even when the number is limited to a predetermined number, activity data can be received from a number of terminals exceeding the predetermined number. Therefore, it is possible to receive the activity data more reliably and propose a service based on the activity data.
  • the invention according to the seventh feature is the invention according to the sixth feature, and the activity data receiving unit starts and / or completes the reception of the activity data from the terminal that was the source of the activity data.
  • a management device that enables the reception of the activity data from the terminal that was the transmission source again when a predetermined time elapses.
  • the terminal can measure and store the activity data even after providing the activity data to the management device. Therefore, even after the activity data is provided to the management device, there may be activity data that is not provided to the management device.
  • receiving activity data from a terminal different from the terminal that was the source of the activity data there is a possibility that the terminal cannot receive the activity data measured and accumulated after providing the activity data.
  • the activity data that can be provided by the terminal after the reception of the activity data is started and / or completed is provided. Can be received. Therefore, after providing the activity data, the activity data that can be provided by the terminal can be received more reliably, and a service based on the activity data can be proposed.
  • the seventh feature it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
  • the invention according to the eighth feature is the invention according to the sixth or seventh feature, and when the activity data receiving unit receives the activity data from all of the plurality of terminals, the transmission source Provided is a management device that enables the reception of the activity data from the terminal that has been.
  • the terminal when the activity data is received from all of the plurality of terminals of the terminal that has received the activity data, the terminal starts and / or completes the reception of the activity data. You can receive activity data that has become available. Therefore, it is possible to more reliably receive the activity data that can be provided by the terminal after starting and / or completing the activity data, and propose a service based on the activity data.
  • the eighth feature it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
  • the invention according to the ninth feature is an invention according to any one of the first to eighth features, and there are a plurality of the analysis results, and the plurality of the analysis results are generated by the activity data analysis unit.
  • the management device is associated with each of the dates, and the management device can display the advice giving unit that can arbitrarily give advice to each of the plurality of analysis results and the plurality of analysis results in chronological order.
  • a management device further provided with time-series information of analysis results and a time-series information transmission unit capable of transmitting correspondence information corresponding to the analysis results and the advice to the terminal.
  • the user of the management device which is exemplified by a doctor, a nurse, a care manager, etc.
  • the time-series information transmission unit can transmit the correspondence information, which is the correspondence between the analysis result and the advice, to the terminal, the patient who uses the terminal can send the correspondence information received by the terminal from the user of the management device. Can get advice. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
  • a service that provides analysis result time series information that can be useful for grasping changes in the analysis result in time series.
  • a service that gives advice from users of the management device to patients, etc. is proposed and a service that provides analysis result time series information is proposed, analysis is performed from the analysis results displayed in time series using the corresponding information.
  • a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
  • the invention according to the tenth feature includes the management device of the invention according to the ninth feature and the terminal, and the terminal receives a plurality of the advice given by the advice giving unit.
  • the display control unit includes a plurality of advice receiving units that can be received from, a display unit that can display the analysis result time series information, and a display control unit that controls the display contents on the display unit.
  • the display range of the analysis result time series information is set to the range including the analysis result associated with the advice based on the corresponding information. Provides a controllable management system.
  • a service is proposed in which analysis result time-series information is displayed on a display unit, and a patient or the like using a terminal can grasp the change in the analysis result in time series by using this display. obtain.
  • a patient or the like using a terminal when proposing a service for displaying analysis result time series information on a display unit, a patient or the like using a terminal specifies any one or more of a plurality of advices. At times, it is possible to propose a service that controls the display range of the analysis result time series information in the range including the analysis result associated with the advice and displays the range including the analysis result associated with the advice.
  • a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
  • the invention according to the eleventh feature is an invention according to the tenth feature, wherein the display unit is associated with the advice by the corresponding information among the analysis results included in the analysis result time series information. Regarding the analysis result, the corresponding image associated with the corresponding information can be displayed, and the display control unit receives the selection information for selecting one or more of the corresponding corresponding images from the plurality of the corresponding images.
  • a management system capable of controlling the display unit to display the advice associated with the correspondence information regarding the correspondence image.
  • the patient or the like using the terminal can grasp that there is advice associated with the analysis result by the corresponding image.
  • a patient or the like who uses the terminal can instruct the display of the advice associated with the correspondence information about the correspondence image by transmitting the selection information for selecting one or more correspondence images, and can acquire and use the advice.
  • the patient or the like using the terminal can grasp the presence or absence of advice corresponding to the analysis result.
  • a patient or the like using a terminal can instruct the display of advice corresponding to the analysis result, and can propose a service that can acquire and use the advice.
  • a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
  • the invention according to the twelfth feature is a different category of the invention according to the first feature.
  • the present invention it is possible to provide a management device and a system capable of proposing useful services for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility.
  • FIG. 1 is a diagram showing an outline of a configuration example of a health service providing system according to the first embodiment of the present invention.
  • FIG. 2 is a diagram showing an outline of user information and activity data stored in the user information storage unit of the management server according to the first embodiment.
  • FIG. 3 is a diagram showing an outline of business establishment information and analysis results stored in the business establishment information storage unit of the management server according to the first embodiment.
  • FIG. 4 is a flowchart showing an outline of the overall processing in the first embodiment.
  • FIG. 5 is a flowchart showing an outline of the user information acquisition process and the user information storage process according to the first embodiment.
  • FIG. 6 is a flowchart showing an outline of the business establishment information acquisition process and the business establishment information storage process in the first embodiment.
  • FIG. 1 is a diagram showing an outline of a configuration example of a health service providing system according to the first embodiment of the present invention.
  • FIG. 2 is a diagram showing an outline of user information and activity data stored in the user information storage unit of the management
  • FIG. 7 is a diagram showing an outline of the measuring device according to the first embodiment.
  • FIG. 8 is a flowchart showing an outline of the data acquisition process from the measuring device according to the first embodiment.
  • FIG. 9 is a diagram showing an outline of the relationship between the analysis result and the like of the average numerical information in the first embodiment.
  • FIG. 10 is a flowchart showing an outline of the activity data analysis process in the first embodiment.
  • FIG. 11 is a diagram showing the concept of the analysis result screen in the first embodiment.
  • FIG. 12 is a flowchart showing an outline of the analysis result screen generation process and the analysis result screen storage process in the first embodiment.
  • FIG. 13 is a flowchart showing an outline of a configuration example of the analysis result screen providing process in the first embodiment.
  • FIG. 14 is a diagram showing an outline of the service screen according to the first embodiment.
  • FIG. 15 is a flowchart showing an outline of the service screen generation process and the service screen storage process according to the first embodiment.
  • FIG. 16 is a flowchart showing an outline of a configuration example of the service screen providing process according to the first embodiment.
  • FIG. 17 is a diagram showing an outline of an alert according to the first embodiment.
  • FIG. 18 is a flowchart showing an outline of the alert generation process according to the first embodiment.
  • FIG. 19 is a flowchart showing an outline of the alert providing process according to the first embodiment.
  • FIG. 20 is a block diagram showing an example of the hardware configuration and software configuration of the management system 2001 according to the second embodiment of the present invention.
  • FIG. 21 is a diagram showing an example of the terminal information table 2221.
  • FIG. 22 is a diagram showing an example of the activity data table 2222.
  • FIG. 23 is a diagram showing an example of the reference information table 2223.
  • FIG. 24 is a diagram showing an example of the disease information table 2224.
  • FIG. 25 is a diagram showing an example of the analysis result table 2225.
  • FIG. 26 is a diagram showing an example of the advice table 2226.
  • FIG. 27 is a main flowchart showing an example of the health management process executed by the management device 2002.
  • FIG. 28 is a flowchart showing an example of the activity data reception process executed by the management device 2002.
  • FIG. 29 is a flowchart showing an example of the activity data analysis process executed by the management device 2002.
  • FIG. 30 is a flowchart showing an example of the service screen generation process executed by the management device 2002.
  • FIG. 31 is a flowchart showing an example of analysis result time series information display processing executed by the display terminal 2004.
  • FIG. 32 is an example of the display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 displays a plurality of advices on the display unit 2045.
  • FIG. 33 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the analysis result time series information on the display unit 2045.
  • FIG. 34 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the advice on the display unit 2045.
  • FIG. 1 is a diagram showing an outline of a configuration example of a health service providing system according to the first embodiment of the present invention.
  • the health service providing system is connected to the measuring device 100, the user terminal 110 connected to the measuring device 100, and the user terminal 110 via a network by wired communication and / or wireless communication. It has a management server 120.
  • the health service providing system preferably further includes a big data storage unit 135 and / or a business terminal 190. It is preferable that the big data storage unit 135 and / or the business office terminal 190 is configured to be connectable to the management server 120 via a network.
  • the health service providing system will be described as having a measuring device 100, a user terminal 110, a management server 120, a big data storage unit 135, and a business office terminal 190.
  • the user terminal 110 is not particularly limited as long as it can be connected to the measuring device 100, and may be a terminal of the prior art exemplified by a smartphone, a tablet terminal, a notebook personal computer, or the like.
  • the management server 120 is connected to the user terminal 110 and the like via the network. Further, the measuring device 100 is connected to the user terminal 110 by wired communication and / or wireless communication.
  • the management server 120 analyzes the user information storage unit 130, the business office information storage unit 131, the analysis result storage unit 132, the analysis result screen storage unit 133, the service screen storage unit 134, the activity data analysis unit 140, and the analysis. It has a result screen generation unit 150, an analysis result screen providing unit 160, a service screen generating unit 170, a service screen providing unit 180, an alert generating unit 181 and an alert providing unit 182.
  • User information 200 (described later, FIG. 2) is stored in the user information storage unit 130.
  • the business establishment information storage unit 131 stores business establishment information 300 (described later, FIG. 3).
  • the analysis result storage unit 132 stores the analysis result 310 (described later, FIG. 3).
  • the business establishment information storage unit 131 may be the same database as the analysis result storage unit 132.
  • the analysis result screen storage unit 133 stores the analysis result screen 1100 (described later, FIG. 11).
  • the service screen 1400 (described later, FIG. 12) is stored in the service screen storage unit 134.
  • the big data storage unit 135 is configured to be able to extract the average numerical information 900 described later.
  • the big data storage unit 135 is not particularly limited as long as it is a storage device or the like capable of extracting average numerical information 900, and is a hard disk, a semiconductor memory, a NAS (Network Attached Storage), a SAN (Storage Area Network), a file server, and a cloud.
  • Various storage devices and / or storage systems exemplified by storage and the like may be used.
  • the big data storage unit 135 may be configured separately from the management server 120, or may be configured integrally with the management server 120. Hereinafter, the big data storage unit 135 will be described as being configured separately from the management server 120.
  • the activity data analysis unit 140 acquires and stores the user information 200 including the activity data 210 from the user terminal 110 connected to the measuring device 100 having the communication unit 102 and the sensor unit 103.
  • the user terminal 110 may further include a display unit 101 and / or an imaging unit 104.
  • the user terminal 110 will be described as having a display unit 101, a communication unit 102, a sensor unit 103, and an imaging unit 104.
  • the activity data analysis unit 140 is based on the user information 200 and the activity data 210 stored in the user information storage unit 130 and the average numerical information 900 stored in the big data storage unit 135, and the activity data 210
  • the evaluation 410 is calculated for each result item 400 corresponding to each item of.
  • the activity data analysis unit 140 generates an analysis result 310 based on the calculated evaluation 410.
  • the details of the average numerical information 900 and the evaluation 410 will be described later.
  • the analysis result screen generation unit 150 generates an analysis result screen 1100 (described later, FIG. 11) based on the generated analysis result 310.
  • the analysis result screen providing unit 160 provides the generated analysis result screen 1100 to the user terminal 110 and the business office terminal 190.
  • the service screen generation unit 170 is based on the analysis result 310 when there is a result item 400 whose evaluation 410 is less than a predetermined numerical value and there is a service generation item 500 whose level 510 is equal to or higher than the first numerical value.
  • the first numerical value can be, for example, "2".
  • the service screen providing unit 180 provides the generated service screen 1400 to the user terminal 110 and the business office terminal 190.
  • the alert generation unit 181 alerts 1700 based on the analysis result 310 generated when there is a service generation item 500 whose level 510 is a second numerical value larger than the first numerical value among the service generation items 500. To generate.
  • the second numerical value is, for example, "5".
  • the alert generation unit 181 When the alert generation unit 181 generates the alert 1700, the alert providing unit 182 provides the generated alert 1700 to the business office terminal 190 and the user terminal 110.
  • FIG. 2 is a diagram showing an outline of user information and activity data stored in the user information storage unit of the management server according to the first embodiment.
  • FIG. 2A is a diagram showing an outline of a configuration example of user information 200 stored in the user information storage unit 130 of the management server 120 in the first embodiment.
  • the user information 200 is composed of data items such as a user ID, a name, a contact, a measuring device ID, and activity data 210.
  • the user ID indicates a code for the management server 120 to identify the user.
  • the name indicates the user's name.
  • the contact indicates the contact of the user.
  • the activity data 210 indicates the content of the data acquired by the user terminal 110 receiving from the measuring device 100 (details will be described later).
  • FIG. 2B is a diagram showing an outline of a configuration example of activity data 210 included in the user information 200 stored in the user information storage unit 130 of the management server 120 in the first embodiment.
  • the activity data 210 indicates information such as acquisition date, basic data, blood pressure, heart rate, blood glucose level, number of steps, and meal image.
  • the "acquisition date” indicates the date when the management server 120 receives the input of the activity data 210 from the user.
  • the “basic data” indicates information such as the age, height, and weight of the user received from the user by the user terminal 110.
  • the management server 120 can be used as a reference when extracting the average numerical information 900 from the big data storage unit 135 in the activity data analysis process described later.
  • the management server 120 calculates the evaluation 410 such as the "body fat percentage” included in the result item 400 of the analysis result 310, and the "morbidity risk” and “morbidity risk”.
  • the level 510 of "disease progression" can be calculated.
  • “Blood pressure” indicates information such as the user's systolic blood pressure and diastolic blood pressure received from the measuring device 100 by the user terminal 110.
  • the management server 120 calculates the evaluation 410 such as "stress degree” included in the result item 400 of the analysis result 310, and "risk of illness” and " The level 510 of "disease progression” can be calculated.
  • Heart rate indicates the information of the user's heart rate received from the measuring device 100 by the user terminal 110.
  • the management server 120 calculates the evaluation 410 such as "stress degree” included in the result item 400 of the analysis result 310, and "risk of illness”.
  • the level 510 of "disease progression" can be calculated.
  • the “step count” indicates information on the number of steps of the user received from the measuring device 100 by the user terminal 110.
  • the management server 120 calculates the evaluation 410 such as "calorie consumption” included in the result item 400 of the analysis result 310, and "risk of illness”.
  • the level 510 of "disease progression" can be calculated.
  • the "meal image” indicates the image information of the meal received by the user terminal 110 from the measuring device 100.
  • the management server 120 calculates the evaluation 410 such as "calorie consumption” included in the result item 400 of the analysis result 310, and "risk of illness”.
  • the level 510 of "disease progression" can be calculated.
  • the meal image represents the content of the meal ingested by the user, which is taken by the imaging unit 104 of the measuring device 100 or the user terminal 110.
  • the management server 120 determines the type and capacity of the foodstuff shown in the meal image by an image analysis process which is a well-known means, and calculates the calorie, sugar content, fat amount and the like ingested by the user.
  • FIG. 3 is a diagram showing an outline of business establishment information and analysis results stored in the business establishment information storage unit of the management server according to the first embodiment.
  • FIG. 3A is a diagram showing an outline of a configuration example of the business establishment information 300 stored in the business establishment information storage unit 131 of the management server 120 in the first embodiment.
  • the business establishment information 300 is composed of a business establishment ID, a business establishment name, contact information, an affiliated user ID, and data items such as an analysis result 310.
  • the business establishment ID indicates a code for the management server 120 to identify the business establishment.
  • the business establishment name indicates the name of the business establishment.
  • the affiliation user ID indicates the user ID of the user who belongs to the business establishment by, for example, membership registration.
  • the analysis result 310 indicates the content of the data generated by the activity data analysis unit 140 (details will be described later).
  • FIG. 3B is a diagram showing an outline of a configuration example of the analysis result 310 included in the business establishment information 300 stored in the business establishment information storage unit 131 of the management server 120 in the first embodiment.
  • the analysis result 310 is composed of a result item 400 and a service generation item 500.
  • Result item 400 includes the date of production, body fat percentage, stress level, calorie consumption level, and the like.
  • each item of the result item 400 has the calculated numerical value of the evaluation 410.
  • the evaluation 410 is indicated by a numerical value from 0 to 100, for example, and "100" is assumed to be the best. That is, the evaluation 410 indicates that the larger the value, the better the user's health condition.
  • Item 500 for service generation includes morbidity risk and disease progression. Further, each item of the service generation item 500 has a calculated level 510 numerical value. Level 510 is represented by a numerical value from 1 to 5, for example, and "1" is assumed to be the best. That is, at level 510, the smaller the value, the better the user's health condition.
  • the level 510 of the service generation item 500 is calculated based on the evaluation 410 for each item of the result item 400. For example, when the evaluation 410 for the "body fat percentage, stress degree, calorie consumption degree” of the result item 400 is "80, 80, 80", the level 510 of the "morbidity risk, disease progression degree” of the service generation item 500. Is indicated as "1, 1".
  • level 510 serves as a reference when determining whether or not the acquired data analysis unit 140 provides the service screen 1400 in the processing described later. Further, level 510 serves as a reference when the content of the proposed service menu is determined.
  • the proposal service menu shows the contents of the proposal service for recommending improvement of the user's health problem.
  • the proposed service menu is displayed on the service screen 1400 (details will be described later) provided to the business office terminal 190 and the user terminal 110.
  • the proposed service menu is determined according to the type of the service generation item 500 and the size of the numerical value of the level 510 of the service generation item 500.
  • the proposed service menu is determined by the contents of "home-visit nursing care” and “watching service”.
  • the proposed service menu is determined by the contents of "online interview” and "drug delivery”.
  • the proposed service menu includes AI interview, rehabilitation, acupuncture and moxibustion, meal delivery, massage, AI meal management, recipe provision, home visit, alert transmission, emergency medical care, etc. How these are determined in correlation with the magnitude of level 510 can be arbitrarily set by well-known medical knowledge, general-purpose information, and the like.
  • the "watching service” may be a service that is always provided regardless of the type of the service generation item 500 and the magnitude of the level 510 value of the service generation item 500.
  • the "generation date” indicates the date on which the management server 120 generated the analysis result 310.
  • Body fat percentage indicates an evaluation of the user's body fat percentage calculated by performing the activity data analysis process described later. Specifically, it is indicated by the numerical value of the evaluation 410.
  • Stress degree indicates an evaluation of user stress calculated by performing activity data analysis processing described later. Specifically, it is indicated by the numerical value of the evaluation 410.
  • Calorie consumption indicates the evaluation of the user's calorie consumption calculated by performing the activity data analysis processing described later. Specifically, it is indicated by the numerical value of the evaluation 410.
  • Attack risk indicates the level of risk that the user is suffering from a new disease or the like. Specifically, the risk of morbidity is indicated by a level 510 number.
  • the morbidity risk is automatically determined by artificial intelligence (AI) based on the types of result items 400, the numerical values of the evaluation 410, the combination with the user's basic data, the history from the past activity data 210, and the like.
  • AI artificial intelligence
  • Level 510 is determined to be "2" or the like.
  • Disease progression indicates the level of disease progression that the user has. Specifically, the degree of disease progression is indicated by a numerical value of level 510.
  • the disease progression is automatically determined by artificial intelligence (AI) based on the types of result items 400, the numerical values of the evaluation 410, the combination with the user's basic data, the history from the past activity data 210, and the like. ..
  • AI artificial intelligence
  • the evaluation 410 of the calculated result item 400 "body fat percentage on January 25, 2008” is changed from “80” to the evaluation 410 of "body fat percentage on February 25, 2008” is changed to "50".
  • the disease progression level 510 is determined to be "2" or the like.
  • FIG. 4 is a flowchart showing an outline of the overall processing in the first embodiment.
  • the management server 120 performs user information acquisition processing and user information storage processing (described later in FIG. 5).
  • the management server 120 performs a business establishment information acquisition process and a business establishment information storage process (described later in FIG. 6).
  • the management server 120 performs activity data analysis processing (described later in FIGS. 9 and 10).
  • the management server 120 performs an analysis result screen generation process and an analysis result screen storage process (described later in FIGS. 11 and 12).
  • the management server 120 performs an analysis result screen providing process (described later in FIG. 13).
  • the management server 120 performs a service screen generation process and a service screen storage process (described later in FIGS. 14 and 15) in S406.
  • the management server 120 performs a service screen provision process (described later in FIG. 16).
  • the management server 120 performs an alert generation process and an alert provision process (described later in FIGS. 17 to 19) in S408.
  • FIG. 5 is a flowchart showing an outline of the user information acquisition process and the user information storage process according to the first embodiment.
  • FIG. 5A is a flowchart showing an outline of the user information storage process according to the first embodiment.
  • the management server 120 provides the user information input screen to the user terminal 110.
  • the user terminal 110 displays the user information input screen on the display.
  • the user terminal 110 receives the input of the user information 200 from the user in S503.
  • the user terminal 110 transmits the user information 200 that has received the input in S503 to the management server 120.
  • the management server 120 acquires the user information 200 by receiving the user information 200 transmitted in S504.
  • the management server 120 attaches a user ID to the received user information 200, and stores the user information 200 received for input in S503 in the user information storage unit 130.
  • FIG. 5B is a flowchart showing an outline of the user information acquisition process according to the first embodiment.
  • the management server 120 acquires the user information 200.
  • the user terminal 110 accepts the input of the user ID from the user.
  • the user ID is included in the user information 200.
  • the user terminal 110 transmits the user ID that received the input in S507 to the management server 120.
  • the management server 120 acquires the user information 200 corresponding to the key of the user ID transmitted in S508 from the user information storage unit 130.
  • FIG. 6 is a diagram showing an outline of the business establishment information acquisition process and the business establishment information storage process in the first embodiment.
  • FIG. 6A is a diagram showing an outline of the business establishment information storage process according to the first embodiment.
  • the management server 120 provides the business establishment information input screen to the business establishment terminal 190.
  • the business establishment terminal 190 displays the business establishment information input screen on the display.
  • the business establishment terminal 190 accepts the input of the business establishment information 300 from the business establishment in S603.
  • the business establishment terminal 190 transmits the business establishment information 300 that has received the input in S603 to the management server 120.
  • the management server 120 acquires the business establishment information 300 by receiving the business establishment information 300 transmitted in S604.
  • the management server 120 attaches a business establishment ID to the received business establishment information 300, and stores the business establishment information 300 received for input in S603 in the business establishment information storage unit 131.
  • FIG. 6B is a flowchart showing an outline of the business establishment information acquisition process in the first embodiment.
  • the management server 120 acquires the business establishment information 300 will be described.
  • the business establishment terminal 190 accepts the input of the business establishment ID from the business establishment in S607.
  • the establishment ID is included in the establishment information 300.
  • the business establishment terminal 190 transmits the business establishment ID that received the input in S607 to the management server 120.
  • the management server 120 acquires the business establishment information 300 corresponding to the business establishment ID key transmitted in S608 from the business establishment information storage unit 131.
  • FIG. 7 is a diagram showing an outline of the measuring device 100 according to the first embodiment.
  • the measuring device 100 includes a display unit 101, a communication unit 102, a sensor unit 103, and an imaging unit 104.
  • the communication unit 102 links with the user terminal 110 and transmits data.
  • the link connection is made by a wireless communication connection using a short-range wave such as Bluetooth (registered trademark).
  • the sensor unit 330 acquires information such as body temperature, heart rate, acceleration, and number of steps of the user who wears the measuring device 100 as activity data 210.
  • the power consumption of the measuring device 100 is significantly lower than that of a general smartphone terminal or the like.
  • the measuring device 100 is driven by a dedicated battery or battery, and the battery may not be charged or replaced for about 5 years. Further, the measuring device 100 may have a solar panel unit in addition to being driven by a battery for extending the life.
  • the measuring device 100 can be configured to have two communication units 102. That is, the measuring device 100 can also be wirelessly connected to the management server 120 via a network. As a result, the user can obtain the effect according to the present invention by using the measuring device 100 even when the user terminal 100 is destroyed.
  • the communication unit 102 can also be connected to an external user interface, and various sensors and the like can be expanded.
  • the measuring device 100 with low power consumption makes a wireless communication connection with the management server 120 via the network without using the radio wave. You can.
  • the imaging unit 104 is a camera that captures a subject at the time of eating, for example, with the measuring device 100 attached.
  • the meal image taken by the imaging unit 104 is included in the activity data 210 as image data such as jpg, and is temporarily stored.
  • FIG. 8 is a flowchart showing an outline of the data acquisition process from the measuring device 100 in the first embodiment.
  • the measuring device 100 determines whether or not the link state is On. When the link state is On, the measuring device 100 ends the entire process.
  • the measuring device 100 is linked to the user terminal 110. Specifically, the measuring device 100 makes a link connection with the user terminal 110 via the communication unit 102 of the measuring device 100.
  • the measuring device 100 transmits the communication device ID to the user terminal 110.
  • the measuring device 100 updates the link state to "On”.
  • the measuring device 100 transmits the link state updated in S805 to the user terminal 110.
  • the measuring device 100 transmits the activity data 210 since the last time the link state was turned off to the user terminal 110.
  • the user terminal 110 acquires the communication device ID transmitted in S803, the link state transmitted in S805, and the activity data 210 transmitted in S806 as user information 200.
  • the user terminal 110 transmits the user information 200 acquired in S807 to the management server 120.
  • the management server 120 acquires the user information 200 transmitted in S808. After that, in S810, the management server 120 updates and stores the user information 200 acquired in S809 with the user information 200 stored in the user information storage unit 130.
  • the measuring device 100 turns off the link state at a timing desired by the user wearing the measuring device 100.
  • the measuring device 100 updates the link state to "Off" and the updated link. The status is transmitted to the user terminal 110.
  • FIG. 9 is a diagram showing an outline of the relationship between the analysis result 310 and the like of the average numerical information 900 in the first embodiment.
  • the average numerical information 900 is extracted from the big data storage unit 135 for each item of the activity data 210, using, for example, "gender, age, height" included in the basic data of the user as an extraction standard. Indicates the average value.
  • the values extracted from the big data storage unit 135 using the extraction criteria are not particularly limited, and are, for example, the average value, the median value, the mode value, the first quartile, and the third. It may be a statistical value or the like related to the data extracted from the big data storage unit 135 by using the extraction standard, which is exemplified by a quartile or the like.
  • the value included in the average numerical information 900 extracted from the big data storage unit 135 using the extraction standard is also referred to as an average value or the like.
  • the average numerical information 900 satisfies the same conditions as "male, 55 years old, 160 cm” from the big data storage unit 135, blood pressure, heart rate, etc. It is obtained by extracting the average value etc. for each item of.
  • the analysis result 310 is obtained by comparing the activity data 210 of the user with the average value or the like included in the average numerical information 900 for each item of the activity data 210. That is, for each item of the activity data 210, the evaluation 410 of the analysis result 310 depends on whether or not the user's activity data 210 is an excellent numerical value as compared with the average value or the like included in the average numerical information 900. , Determine whether it is a high number.
  • the evaluation 410 for the user's “steps” is shown as "60".
  • the evaluation 410 can be, for example, a numerical value from 0 to 100, but is not particularly limited. Further, the calculation formula of the evaluation 410 is not particularly limited.
  • the analysis result screen 1100 is generated based on the analysis result 310.
  • the service screen 1400 is generated based on a result item 400 whose evaluation 410 is a predetermined value, for example, less than 50, or a service generation item 500, whose level 510 is a predetermined value, for example 2, or more.
  • the management server 120 can analyze how good a user's health is from the average.
  • the management server 120 can be used for the health of the user without requiring time and labor associated with the implementation of the health examination and the like. You can grasp the problem and propose the optimum problem solving method.
  • FIG. 10 is a flowchart showing an outline of the activity data analysis process in the first embodiment.
  • the activity data analysis unit 140 of the management server 120 extracts the user information 200 from the user information storage unit 130.
  • the activity data analysis unit 140 extracts the activity data 210 corresponding to the user ID included in the user information 200 extracted in S1001.
  • the activity data analysis unit 140 extracts the average numerical information 900 for each item of the activity data 210 extracted in S1002 from the big data storage unit 135.
  • the activity data analysis unit 140 calculates an evaluation 410 for each result item 400 corresponding to each item of the activity data 210 based on the average numerical information 900 extracted in S1003. More specifically, the activity data analysis unit 140 compares the numerical value of the activity data 210 with the numerical value of the average numerical information 900 extracted in S1003 for each item of the activity data 210 extracted in S1002. The evaluation 410 is calculated.
  • the activity data analysis unit 140 evaluates each item of the activity data 210 according to whether or not the numerical value of the activity data 210 is superior to the numerical value of the average numerical information 900. To determine.
  • the activity data analysis unit 140 generates an analysis result 310 based on the evaluation 410 calculated in S1004.
  • the activity data analysis unit 140 generates an analysis result 310 by associating the calculated numerical value of the evaluation 410 with the user ID, the generation date, and the like for each item of the activity data 210.
  • the activity data analysis unit 140 stores the analysis result 310 generated in S1005 in the analysis result storage unit 132.
  • the activity data analysis unit 140 requests the analysis result screen generation unit 150 to generate the analysis result screen 1100.
  • the activity data analysis unit 140 has a result item 410 in which the evaluation 410 is a predetermined value, for example, less than 50, among the items included in the analysis result 310 generated in S1005, and the analysis result. It is determined whether or not there is a service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") among the service generation items 500 included in 310.
  • the predetermined numerical value is not particularly limited.
  • the activity data analysis unit 140 ends this step.
  • the activity data analysis unit 140 requests the service screen generation unit 170 to generate the service screen 1400.
  • the activity data analysis unit 140 has a service generation item 510 in which the level 510 is the second numerical value (for example, "5") among the items included in the analysis result 310 generated in S1005. Determine whether or not to do so.
  • the level 510 is the second numerical value (for example, "5") among the items included in the analysis result 310 generated in S1005. Determine whether or not to do so.
  • the activity data analysis unit 140 ends this process. do.
  • the activity data analysis unit 140 in S1011 The alert generation unit 181 is requested to generate the alert 1700.
  • the management server 120 can analyze how good the user's daily health condition is.
  • FIG. 11 is a diagram showing the concept of the analysis result screen 1100 according to the first embodiment.
  • the analysis result screen 1100 includes a score display area 1110 and a first chart display area 1120.
  • the score display area 1110 displays the numerical value of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210.
  • the method of displaying the numerical value of the evaluation 410 displayed by the score display area 1110 is not particularly limited.
  • the first chart display area 1120 displays the numerical value of the evaluation 410 out of the analysis results 310 calculated for each item of the activity data 210 by, for example, a line graph or a chart such as a histogram.
  • the method of displaying the chart such as the numerical value of the evaluation 410 displayed by the first chart display area 1120 is not particularly limited.
  • the analysis result screen 1100 may include only the second chart display area 1130. In this case, the analysis result screen 1100 may not include the score display area 1110.
  • the numerical values of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210 are displayed in a format different from the chart displayed in the first chart display area 1120, for example, a radar chart. It is displayed by a chart such as.
  • the method of displaying the chart such as the numerical value of the evaluation 410 displayed by the second chart display area 1130 is not particularly limited.
  • the management server 120 can grasp the health condition of the user without requiring the cost of time and labor associated with the visit to the hospital and the health examination of the user. Further, since the analysis result screen 1100 has a plurality of different chart display areas, the user can grasp the health state from various angles.
  • FIG. 12 is a flowchart showing an outline of the analysis result screen generation process and the analysis result screen storage process in the first embodiment.
  • the analysis result screen generation unit 150 of the management server 120 receives the generation request of the analysis result screen 1100 requested in S1007, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
  • the analysis result screen generation unit 150 generates the analysis result screen 1100 based on the analysis result 310 extracted in S1201.
  • the analysis result screen generation unit 150 stores the analysis result screen 1100 generated in S1202 in the analysis result screen storage unit 133.
  • the analysis result screen generation unit 150 requests the analysis result screen providing unit 160 to provide the analysis result screen 1100.
  • FIG. 13 is a flowchart showing an outline of a configuration example of the analysis result screen providing process in the first embodiment.
  • the analysis result screen providing unit 160 of the management server 120 receives the request for providing the analysis result screen 1100 requested in S1204.
  • the analysis result screen providing unit 160 extracts the analysis result screen 1100 stored in S1203 from the analysis result screen storage unit 133.
  • the analysis result screen providing unit 160 extracts the business establishment information 300 corresponding to the business establishment ID for which the analysis result screen 1100 is to be provided from the business establishment information storage unit 131.
  • the analysis result screen providing unit 160 provides the analysis result screen 1100 extracted in S1302 to the business office terminal 190.
  • the business office terminal 190 causes the analysis result screen 1100 provided by the management server 120 in S1304 to be displayed on the display of the terminal.
  • the analysis result screen providing unit 160 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1303 from the user information storage unit 130.
  • the analysis result screen providing unit 160 provides the analysis result screen 1100 extracted in S1302 to the user terminal 110.
  • the user terminal 110 displays the analysis result screen 1100 provided by the management server 120 in S1307 on the display of the terminal.
  • the management server 120 can grasp the health condition of the user without requiring the cost of time and labor associated with the visit to the hospital and the health examination of the user.
  • the management server 120 can exchange information with medical institutions around the world at any time by providing the analysis result screen 900 to the business office terminal 190, and can promptly perform telemedicine.
  • FIG. 14 is a diagram showing the concept of the service screen 1400 according to the first embodiment.
  • the service screen 1400 includes a comment display area 1410 and a proposed service menu display area 1420.
  • the comment display area 1410 displays a comment for notifying what is the item whose evaluation 410 is a predetermined numerical value, for example, less than 50, among the result items 400 included in the analysis result 310. Further, the comment display area 1410 is set to the value of level 510 for the service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") among the service generation items 500 included in the analysis result 310. Display the corresponding comment.
  • the method of displaying the comment in the comment display area 1410 is not particularly limited.
  • the comment display area 1410 when the evaluation 410 of the "stress degree” included in the analysis result 310 is "47”, “the stress degree score is low” or the like is displayed as a comment.
  • the level 510 of the "morbidity risk” included in the analysis result 310 is "2”, "there is a possibility of disease OO, OO” or the like is displayed as a comment.
  • the disease name of XX related to the above comment depends on the type of the result item 400 of the analysis result 310, the numerical value of the evaluation 410, the combination with the basic data of the user, the history from the past activity data 210, and the like. It is automatically determined by artificial intelligence (AI). For example, when the evaluation 410 of "body fat percentage, stress degree” in the result item 400 is "30, 20", the disease name of XX related to the above comment is determined to be "diabetes" or "stroke”.
  • AI artificial intelligence
  • the PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of activity data 210 and the subsequent provision of the service screen 1400.
  • the proposed service menu display area 1420 is for an item in which the evaluation 410 is a predetermined value, for example, less than 50 among the result items 400 included in the analysis result 310, and among the service generation items 500 included in the analysis result 310.
  • a proposed service menu for recommending improvement of the problem of the service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") is displayed.
  • the method of displaying the proposed service menu display area 1420 is not particularly limited.
  • the content of the proposed service menu is determined according to the numerical value of level 510.
  • the numerical value of the level 510 of the "morbidity risk" among the service generation items 500 is "2”
  • the proposed service menu is determined by the contents of "online interview” and "drug delivery”.
  • the proposed service menu is determined by the contents of "home-visit nursing care” and "watching service".
  • the proposed service menu is set as the value of level 510 of the service generation item 500 included in the analysis result 310 becomes larger. Consists of high-level and urgent health services.
  • the content of the proposed service menu is not particularly limited.
  • the management server 120 acquires the activity data 210 from the user and at the same time provides the health service menu that reflects the result of the activity data 210, thereby reducing the cost of time and labor associated with the user's hospital visit and health examination. It is possible to reduce the number of health services and propose health services to facilitate daily health management.
  • the business establishment can easily grasp the morbidity risk and disease progression generated as a result of the analysis, and can promptly provide the user with the optimum solution to the health problem.
  • the user can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can quickly grasp the optimum solution to the health problem.
  • FIG. 15 is a flowchart showing an outline of the service screen generation process and the service screen storage process according to the first embodiment.
  • the service screen generation unit 170 of the management server 120 receives the generation request of the service screen 1400 requested in S1009, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
  • the service screen generation unit 170 generates the service screen 1400 based on the analysis result 310 extracted in S1501.
  • the service screen generation unit 170 stores the service screen 1400 generated in S1502 in the service screen storage unit 134.
  • the service screen generation unit 170 requests the service screen providing unit 180 to provide the service screen 1400.
  • FIG. 16 is a flowchart showing an outline of a configuration example of the service screen providing process according to the first embodiment.
  • the service screen providing unit 180 of the management server 120 receives the request for providing the service screen 1400 requested in S1504.
  • the service screen providing unit 180 extracts the service screen 1400 stored in S1503 from the service screen storage unit 134.
  • the service screen providing unit 180 extracts the business establishment information 300 corresponding to the business establishment ID for which the service screen 1400 is to be provided from the business establishment information storage unit 131.
  • the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the business office terminal 190.
  • the business office terminal 190 displays the service screen 1400 provided by the management server 120 in S1604 on the display of the terminal.
  • the service screen providing unit 180 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1603 from the user information storage unit 130.
  • the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the user terminal 110.
  • the user terminal 110 displays the service screen 1400 provided by the management server 120 in S1607 on the display of the terminal.
  • the management server 120 acquires the activity data 210 from the user and at the same time provides the health service menu that reflects the result of the activity data 210, thereby reducing the cost of time and labor associated with the user's hospital visit and health examination. It is possible to reduce the number of health services and propose health services to facilitate daily health management.
  • the management server 120 can exchange information with medical institutions around the world at any time by providing the service screen 1400 to the business office terminal 190, and can promptly perform telemedicine. Furthermore, the business establishment can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can promptly provide the user with the optimum solution to the health problem.
  • the management server 120 uses the activity data from the user.
  • the PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of 210 and the subsequent provision of the service screen 1400.
  • the user can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can quickly grasp the optimum solution to the health problem.
  • FIG. 17 is a diagram showing an outline of the alert 1700 according to the first embodiment.
  • the alert 1700 includes an alert display area 1710.
  • the alert display area 1710 displays comments according to the type of the service generation item 500 for the service generation item 500 whose level 510 is the second numerical value (for example, "5").
  • the method of displaying the alert display area 1710 is not particularly limited.
  • the service generation item 500 whose level 510 is the second numerical value is "risk of illness”
  • the comment "There is a risk of morbidity of disease XX”. , Etc. are displayed.
  • the disease name of XX related to the above comment depends on the type of the result item 400 of the analysis result 310, the numerical value of the evaluation 410, the combination with the basic data of the user, the history from the past activity data 210, and the like. It is automatically determined by artificial intelligence (AI). For example, when the evaluation 410 of "body fat percentage, stress degree” in the result item 400 is "30, 20", the disease name of XX related to the above comment is determined to be "diabetes" or "stroke”.
  • AI artificial intelligence
  • the alert 1700 is provided from the management server 120 to the user terminal 110. Further, when the user terminal 110 and the measuring device 100 are linked and connected, the alert 1700 is displayed on the display unit 101 of the measuring device 100. At this time, the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700.
  • the management server 120 provides the alert 1700 to the user when the morbidity risk / disease progression is extremely high through the analysis of the user activity data 210 acquired from the measuring device 100, so that the user can go to the hospital or visit the hospital. While reducing the time and labor costs associated with health examinations, it is possible to encourage users with high health severity and urgency to receive health services.
  • FIG. 18 is a flowchart showing an outline of the alert generation process according to the first embodiment.
  • the alert generation unit 181 of the management server 120 receives the generation request of the alert 1700 requested in S1011 and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
  • the alert generation unit 181 generates an alert 1700 based on the analysis result 310 extracted in S1801.
  • the alert generation unit 181 requests the alert providing unit 182 to provide the alert 1700 generated in S1802.
  • FIG. 19 is a flowchart showing an outline of the alert providing process according to the first embodiment.
  • the alert providing unit 182 of the management server 120 receives the request for providing the alert 1700 requested in S1803.
  • the alert providing unit 182 extracts the business establishment information 300 corresponding to the business establishment ID to which the alert 1700 is to be provided from the business establishment information storage unit 131.
  • the alert providing unit 182 provides the alert 1700 extracted in S1902 to the business terminal 190.
  • the business office terminal 190 displays the alert 1700 provided by the management server 120 in S1903 on the display of the terminal.
  • the alert providing unit 182 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1902 from the user information storage unit 130.
  • the alert providing unit 182 provides the alert 1700 extracted in S1902 to the user terminal 110.
  • the user terminal 110 displays the alert 1700 provided by the management server 120 in S1906 on the display of the terminal.
  • the user terminal 110 determines whether or not the link state is "On”. When the link state is "Off”, the user terminal 110 ends this process. When the link state is "On”, the user terminal 110 proceeds to step S1909.
  • the user terminal 110 transmits the provided alert 1700 to the measuring device 100 linked to the link.
  • the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700.
  • the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700, thereby giving the user a high degree of seriousness and urgency regarding the health of the user. You can make a stronger impression.
  • the management server 120 can exchange information with medical institutions around the world at any time by providing the alert 1700 to the business office terminal 190, and can promptly perform telemedicine.
  • the patient or the like measures the activity data 210 of the patient or the like by wearing the measuring device 100 on the wrist or the like.
  • the user terminal 110 performs a data acquisition process, acquires activity data 210, and transmits it to the management server 120.
  • the management server 120 stores the activity data 210 and the like received in the user information storage unit 130.
  • the management server 120 performs activity data analysis processing, extracts average numerical information 900 from the big data storage unit 135, compares the activity data 210 with the average numerical information 900, and generates evaluation 410 and analysis result 310. ..
  • the management server 120 performs the analysis result screen providing process and generates the analysis result screen 1100.
  • the management server 120 requests the service screen generation unit 170 to generate the service screen 1400.
  • the management server 120 requests the alert generation unit 181 to generate the alert 1700 when the analysis result 310 satisfies the predetermined condition.
  • the management server 120 performs the service screen provision process, and provides the analysis result 310, the disease information related to the disease, and / or the proposed service menu corresponding to the disease information. Generate a service screen 1400 to include.
  • the alert generation unit 181 is requested to generate the alert 1700
  • the management server 120 generates the alert 1700 including the comment regarding the disease information.
  • the user terminal 110 uses the analysis result screen 1100, the service screen 1400, and / or the alert 1700 provided by the management server 120 in response to the provision of the analysis result screen 1100, the service screen 1400, and / or the alert 1700. Show on the display.
  • the management server 120 obtains the activity data 210 from the user and at the same time provides a health service menu that reflects the result of the activity data 210, so that the user can go to the hospital or visit the hospital. It is possible to reduce the time and labor costs associated with health examinations and propose health services that facilitate daily health management for users.
  • the management server 120 uses the activity data from the user.
  • the PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of 210 and the subsequent provision of the service screen 1400.
  • the management server 120 provides an alert 1700 when the severity of the morbidity risk / disease progression calculated through the analysis of the user's activity data 210 is extremely high, for example, and provides a monitoring service regardless of the severity.
  • the lifestyle is based on the activity data 210 of the patient or the like provided from the user terminal 110.
  • the analysis result 310 can be generated, and the service screen 1400 including the proposed service corresponding to the disease information including the "morbidity risk" and / or the "morbidity progression" based on the generated analysis result 310 can be generated. Therefore, it is possible to propose a service that reflects the activity data 210 via the generated service screen 1400.
  • the management server 120 it is possible to propose a service that reflects not only the activity data 210 but also the lifestyle analyzed based on the activity data 210. Furthermore, it is possible to propose a service that also reflects disease information based on the analysis result 310. Therefore, it is possible to propose a service that reflects not only the activity data 210 but also various information based on the activity data 210.
  • the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
  • the evaluation for the activity data 210 is generated based on the reference information such as the average numerical information 900, the influence of the subjective and arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved rating 410 in objectivity. Since the disease information is generated based on the evaluation 410 thus generated and the analysis result 310 is generated based on the generated disease information, the analysis result 310 improved in objectivity can be generated.
  • the patient or the like may have a medical service and / or a health condition problem to scrutinize the possibility of having a health condition problem. Further useful services such as medical services corresponding to the above may be required. When a patient may have some kind of illness, the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
  • the service screen generation unit 170 is requested to generate the service screen 1400 including the proposed service, it is possible to propose a service useful for the patient or the like when the patient or the like further needs the service.
  • the alert generation unit 181 is requested to generate the alert 1700, so that the patient, etc. Can grasp information on disease information through the user terminal 110 when it is possible to suffer from some disease. This makes it possible to provide a management device capable of proposing even more useful services for patients and the like.
  • the management server 120 acquires the activity data 210 provided by the user terminal 110 without connecting the management server 120 and the user terminal 110 by wire. Can be done. As a result, the activity data 210 can be acquired even in a situation where the management server 120 and the user terminal 110 cannot be connected by wire. Therefore, it is possible to provide the management server 120 capable of proposing a service useful for the patient or the like by using the activity data 210 or the like more reliably acquired from the patient or the like.
  • FIG. 20 is a block diagram showing an example of the hardware configuration and software configuration of the management system 2001 according to the second embodiment.
  • the management system 2001 includes at least a management device 2002, one or more measurement terminals 2003 capable of providing activity data to the management device 2002, and a network N for communicably connecting the management device 2002 and the measurement terminal 2003. Will be done.
  • patients and care facility users who provide activity data via the measurement terminal 2003 are also referred to as patients or simply managed persons, and users of the management device 2002 exemplified by doctors, nurses, care managers, etc. are referred to. Also referred to as a doctor or simply a user.
  • the management device 2002 includes at least a control unit 2021, a storage unit 2022, and a communication unit 2023.
  • the control unit 2021 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like.
  • a CPU Central Processing Unit
  • RAM Random Access Memory
  • ROM Read Only Memory
  • the control unit 2021 reads a predetermined program and cooperates with the storage unit 2022 and / or the communication unit 2023 as needed, so that the activity data receiving unit 2211 and the activity data, which are elements of the software configuration in the management device 2002, are used.
  • the analysis unit 2212, the service screen generation unit 2213, the notification unit 2214, the advice giving unit 2215, the time series information transmission unit 2216, and the like are realized.
  • the activity data analysis unit 2212 generates an evaluation generation unit 2212A (not shown) that generates an evaluation regarding the activity data based on the reference information regarding the activity data, and a disease information that generates the disease information based on the evaluation. It is preferable to include a generation unit 2212B (not shown) and an analysis result generation unit 2212C (not shown) that generates an analysis result based on evaluation and disease information.
  • the activity data analysis unit 2212 including the evaluation generation unit 2212A, the disease information generation unit 2212B, and the analysis result generation unit 2212C will be described in more detail later with reference to FIG. 29.
  • the storage unit 2022 is a device for storing data and files, and has a data storage unit such as a hard disk, a semiconductor memory, a recording medium, and a memory card.
  • the storage unit 2022 has a mechanism that enables connection with a storage device or storage system such as NAS (Network Attached Storage), SAN (Storage Area Network), cloud storage, a file server, and / or a distributed file system via a network. You may have.
  • the storage unit 2022 stores at least a control program executed by a microcomputer, a terminal information table 2221 that stores terminal information about the measurement terminal 2003, an activity data table 2222 that stores information about activity data, and the like.
  • FIG. 21 is a diagram showing an example of the terminal information table 2221.
  • a "measurement terminal ID” that can identify the measurement terminal 2003
  • a "reception availability” regarding whether or not activity data can be received
  • a "reception status” regarding activity data
  • activity data Is stored in association with the "last received date and time” related to the date and time when the data was received.
  • the measurement terminal ID By including the measurement terminal ID, it becomes easy to acquire and store the terminal information. By including whether or not reception is possible, it is possible to determine whether or not activity data can be received from the measurement terminal 2003 identified by the terminal ID. By including the reception state, it is possible to identify whether the activity data has been received or not received from the measurement terminal 2003 identified by the measurement terminal ID. By including the last reception date and time, the elapsed time from receiving the activity data can be grasped.
  • the management device 2002 is controlled so that the measurement terminal 2003 identified by the measurement terminal ID "C0001" does not execute the process of receiving the activity data from 14:00 on April 1, 2020 until the predetermined time elapses. obtain.
  • FIG. 22 is a diagram showing an example of the activity data table 2222.
  • an "activity data ID” that identifies the activity data
  • a "measurement terminal ID” that identifies the measurement terminal 2003 that provided the activity data
  • a "patient, etc.” that provided the activity data.
  • the "date and time” for which the activity data was provided, and the "activity data” including the "blood pressure”, “pulse”, and “exercise amount” are stored in association with each other.
  • the activity data ID By including the activity data ID, it becomes easy to acquire and store the activity data.
  • the measurement terminal ID By including the measurement terminal ID, it is possible to prevent the activity data provided by one measurement terminal 2003 from being mistaken for the activity data provided by another measurement terminal 2003.
  • patients, etc. By including patients, etc., it is possible to prevent the activity data provided by the managed person from being mistaken for the activity data provided by other patients, etc.
  • the date and time By including the activity data, it is possible to generate the analysis result of the lifestyle based on the activity data.
  • the blood pressure in the activity data By including the blood pressure in the activity data, it is possible to generate the analysis result of the lifestyle based on the blood pressure.
  • the pulse in the activity data By including the pulse in the activity data, it is possible to generate the analysis result of the lifestyle based on the pulse.
  • the amount of exercise in the activity data By including the amount of exercise in the activity data, it is possible to generate the analysis result of the lifestyle based on the amount of exercise.
  • the activity data ID "V0001" in FIG. 22 stores activity data at 12:00 on April 1, 2020 regarding the patient "Taro Yamada” provided by the measurement terminal 2003 identified by the measurement terminal ID "C0001”. Has been done.
  • the stored activity data shows that the patient, etc., Taro Yamada, has a systolic blood pressure (also referred to as systolic blood pressure) of 130, a diastolic blood pressure (also referred to as diastolic blood pressure) of 70, and a pulse of 70. , Shows that the amount of exercise is 1582 kcal. As a result, it is possible to acquire activity data including blood pressure, pulse rate, and amount of exercise of patients, etc. "Taro Yamada" at 12:00 on April 1, 2020.
  • the activity data ID "V0002" stores activity data at 13:00 on April 1, 2020 regarding the patient "Taro Yamada” provided by the measurement terminal 2003 identified by the measurement terminal ID "C0001". There is. That is, the activity data related to the patient or the like "Taro Yamada” at a date and time different from the activity data stored in the above-mentioned activity data ID "V0001" is stored.
  • the stored activity data shows that the patient, etc., Taro Yamada, has a systolic blood pressure of 145, a diastolic blood pressure of 80, a pulse of 85, and an amount of exercise of 1614 kcal. These activity data have changed from the activity data at 12:00 on April 1, 2020. In this way, since the activity data at different dates and times can be stored for the same managed person, it is possible to grasp the change in the activity data in the time series.
  • the activity data includes biometric data of the patient such as blood pressure, pulse, exercise amount, blood glucose level, body temperature, number of steps taken by the patient, height, weight, body fat percentage, etc., and data on the patient's diet such as calorie intake and meal time. And / or the activity data including the data on the activity of the managed person exemplified by the data on the mental state of the patient such as the degree of stress is not particularly limited.
  • the activity data preferably includes the blood pressure and pulse of the patient or the like. By including the blood pressure and pulse of the patient or the like in the activity data, it is possible to generate the analysis result of the lifestyle based on the blood pressure and the pulse of the patient or the like.
  • the activity data preferably includes the amount of exercise of the patient or the like. By including the amount of exercise of the patient or the like in the activity data, it is possible to generate the analysis result of the lifestyle habit based on the amount of exercise of the patient or the like.
  • the activity data preferably includes the number of steps taken by the patient or the like. By including the number of steps taken by the patient or the like in the activity data, it is possible to generate an analysis result of lifestyle habits based on the number of steps taken by the patient or the like.
  • the storage unit 2022 further stores the reference information table 2223 for storing the reference information regarding the activity data.
  • the reference information table 2223 By storing the reference information table 2223, it is possible to generate an evaluation for the activity data based on the reference information. Generating assessments for activity data based on reference information will be discussed in more detail later.
  • the storage unit 2022 will be described as storing the reference information table 2223.
  • FIG. 23 is a diagram showing an example of the reference information table 2223.
  • a "reference information ID” for identifying the reference information, an “item” indicating which activity data the reference information is for, and a “reference information” for the activity data related to the item are displayed.
  • "Evaluation” based on the standard information is stored in association with it.
  • the reference information ID By including the items, even if the activity data includes a plurality of items, it is possible to provide reference information for each item. By including the reference information, the reference information for the activity data can be provided. By including the evaluation, it is possible to generate an evaluation of the activity data based on the reference information.
  • the reference information is not particularly limited as long as it includes information indicating a standard regarding the activity data, and may include reference information indicating a predetermined upper limit with respect to the value indicated by the activity data, and is predetermined with respect to the value indicated by the activity data.
  • the reference information indicating the lower limit of the above may be included, and the reference information indicating a specific upper limit and a specific lower limit may be included with respect to the value indicated by the activity data.
  • the reference information may include statistical values related to activity data exemplified by the average value, median value, mode value, first quartile, third quartile, etc. related to activity data. By including the statistical values for the activity data in the reference information, it is possible to generate the evaluation associated by comparing the activity data with the statistical values.
  • the reference information ID “R0001” in FIG. 23 is information relating to the reference information “systole 140 or more and / or diastole 90 or more” and the evaluation “hypertension I” regarding the item “blood pressure” related to activity data. Is stored. Based on this information, if the activity data for the item (blood pressure in this example) meets the criteria shown in the reference information (systolic blood pressure 140 or higher and / or diastolic blood pressure 90 or higher in this example), the item and A rating associated with the reference information (hypertension I in this example) can be generated.
  • Disease information table 2224 When the reference information table 2223 is stored in the storage unit 2022, it is preferable that the storage unit 2022 further stores the disease information table 2224 that stores the disease information based on the evaluation. By storing the disease information table 2224, disease information can be generated based on the evaluation generated using the reference information stored in the reference information table 2223. Generating disease information based on assessment will be described in more detail later.
  • FIG. 24 is a diagram showing an example of the disease information table 2224.
  • the disease information table 2224 shown in FIG. 24 includes a "disease information ID" for identifying disease information, an "evaluation condition” for evaluation, and "disease information” including "disease risk” and / or “disease progression”. Is associated and stored.
  • disease information ID By including the disease information ID, it becomes easy to acquire and store the disease information.
  • disease information based on the evaluation can be provided when the evaluation meets the conditions.
  • Assessment-based disease information can be generated by including disease information including disease risk and / or disease progression.
  • the information stored in the evaluation conditions is not particularly limited as long as it can indicate the conditions for generating disease information based on the evaluation based on the reference information table 2223. For example, it may be indicated that the evaluation is stored in the evaluation condition and the associated disease information is generated when the evaluation is generated. Further, for example, it is possible to store information relating a predetermined period, a specific number, and an evaluation in an evaluation condition, and generate the associated disease information when the number of times an evaluation is generated in a predetermined period is a specific number or more. May be shown.
  • the disease information is not particularly limited as long as it is disease information including at least one of a disease risk and / or a disease progression degree, and may include a disease risk (disease information ID “D0004” in FIG. 24, etc.), and a disease.
  • the degree of progression may be included (disease information ID “D0001” in FIG. 24, etc.), and both the risk of disease and the degree of disease progression may be included (disease information ID “D0003”, etc. in FIG. 24).
  • the disease information ID “D0001” in FIG. 24 has a “ ⁇ ” indicating that the related disease risk is not stored with respect to the evaluation condition “hypertension I” related to the activity data, and the disease progression degree “I degree hypertension”. And, the information associated with is stored. Based on this information, when an assessment of activity data (in this example, "hypertension I") is generated, it includes disease information associated with the assessment criteria (in this example, disease progression "I degree hypertension"). Disease information) can be generated.
  • the disease information ID "D0003" in FIG. 24 includes an evaluation of activity data “hypertension I three times or more a day", a disease risk "strong suspicion of hypertension”, and a disease progression degree "I degree hypertension”. Information associated with and is stored. Based on this information, the number of evaluations related to activity data (“hypertension I” in this example) generated during a predetermined period (“1 day” in this example) is greater than or equal to a specific number (“3” in this example). In the case of "more than once"), disease information associated with the assessment (in this example, disease information including the disease risk "high suspicion of hypertension” and the disease progression "I degree hypertension”) can be generated.
  • the storage unit 2022 further stores an analysis result table 2225 that stores the analysis results generated based on the activity data and the like and associated with the generated date and time.
  • an analysis result table 2225 that stores the analysis results generated based on the activity data and the like and associated with the generated date and time.
  • FIG. 25 is a diagram showing an example of the analysis result table 2225.
  • an “analysis result ID” for identifying the analysis result, a “patient, etc.” associated with the analysis result, a “date and time” for which the analysis result was generated, and a “blood pressure”, Analysis results including "pulse”, “exercise amount”, “evaluation”, and “disease information” are stored in association with each other.
  • the analysis result ID By including the analysis result ID, it becomes easy to acquire and store the analysis result. By including the patient, etc., it is possible to prevent the analysis result associated with the patient, etc. from being mistaken for the analysis result associated with another patient, etc. By including the date and time, it is possible to grasp the change in the analysis result in the time series. By including the analysis result having the disease information, it is possible to generate a screen including the disease information based on the analysis result and the corresponding proposal service.
  • the analysis result is not particularly limited as long as it is an activity data and a lifestyle analysis result including disease information.
  • various activity data stored in the activity data table 2222 and evaluation of each of these various activity data. , And / or disease information based on the assessment may be included.
  • the analysis result can generate an evaluation for these various activity data.
  • the analysis result based on the evaluation can be generated.
  • the disease information based on the evaluation in the analysis result it is possible to generate a screen including the proposal service corresponding to the disease information.
  • the disease information is not particularly limited as long as it includes at least one of the disease risk and the disease progression based on the analysis result.
  • the disease risk based on the analysis result in the disease information it is possible to propose a service corresponding to the disease risk.
  • the disease progression in the disease information it is possible to propose a service corresponding to the disease progression.
  • the analysis result ID "A0001" in FIG. 25 stores the analysis result of the patient "Taro Yamada” at 12:00 on April 1, 2020.
  • the analysis results show that the patient, etc., Taro Yamada, has a systolic blood pressure of 130, a diastolic blood pressure of 70, a pulse of 70, an exercise amount of 1582 kcal, and an evaluation and disease information of "-", that is, , Indicates that no assessment or disease information regarding activity data has been generated.
  • the analysis result ID "A0002" in FIG. 25 stores the analysis result of the patient "Taro Yamada” at 13:00 on April 1, 2020.
  • the systolic blood pressure was 145
  • the diastolic blood pressure was 80
  • the pulse was 85
  • the amount of exercise was 1614 kcal
  • the activity data was evaluated as "hypertension I” for Taro Yamada, who is a patient or the like.
  • the disease information indicating "I degree hypertension”.
  • This analysis result has changed from the analysis result at 12:00 on April 1, 2020. In this way, since the analysis results at different dates and times can be stored for the same patient or the like, it is possible to grasp the changes in the analysis results in the time series.
  • the storage unit 2022 further stores the advice table 2226 for storing the advice given to the analysis result.
  • the advice table 2226 By storing the advice table 2226, the advice given to the analysis result can be stored. The use of the advice given to the analysis results will be explained in more detail later.
  • FIG. 26 is a diagram showing an example of the advice table 2226.
  • the "advice ID” that identifies the advice the information that can identify the "user” who gave the advice, the "date and time” to which the advice was given, and the advice are associated with each other.
  • the "analysis result ID” that can identify the analysis result and the "advice” are stored in association with each other. Thereby, the advice given to the analysis result and the date and time when the advice was given can be provided.
  • correspondence information that is a correspondence between the analysis result and the advice.
  • the user is not particularly limited as long as it is information that can identify the user of the management device 2002, and may be, for example, information that can identify a doctor or the like exemplified by a doctor, a nurse, a care manager, or the like.
  • the analysis result ID is not particularly limited as long as the analysis result associated with the advice can be identified.
  • the analysis result ID corresponding to the analysis result ID stored in the analysis result table 2225 shown in FIG. 25 may be used. ..
  • the advice is not particularly limited as long as it is advice on the analysis result, and for example, any one or more of advice using sentences related to the analysis result, advice using images on the analysis result, and advice using voice on the analysis result Any advice, including.
  • the advice ID “S0001” in FIG. 26 stores information associated with the user “nurse”, the date and time “2020/04/01 15:00”, and the analysis result ID “A0002”. There is. Based on this information, the analysis result "A0002" having the evaluation "hypertension I” and the disease information "I degree hypertension” illustrated in FIG. 25 was given by the nurse as "temporary after exercise, and there is no problem.” You can get the advice and use it. In this way, by storing the advice associated with the analysis result ID in the advice table 2226, advice that can be used for determining whether or not a service proposal related to health management is required for the analysis result is given. , Available.
  • the communication unit 2023 has a device for enabling the management device 2002 to communicate with the measurement terminal 2003 and other devices.
  • the type of device is not particularly limited, and includes, for example, a network card compatible with the Ethernet standard, a Wi-Fi (Wireless Fitness) compatible device conforming to IEEE802.11, and the like.
  • the communication means is not particularly limited, and is performed by, for example, wireless communication or wired communication.
  • the wireless communication protocol or standard is not particularly limited, and for example, Wireless Fidelity (WiFi) (registered trademark), Bluetooth (registered trademark), near, such as IEEE 802.11 a / b / g / n / ax / ba / EHT.
  • NFC range radio communication
  • RFID radio wifi identifier
  • MME mobile communication
  • LTE Long Term Evolution
  • LTE-A LTE-Advanced
  • 5G 5th generation
  • Modules for wired communication include, for example, a universal serial bus (USB), a high definition multimedia interface (HDMI®), and a Recommitted Standard 232 (RS-232).
  • the communication unit 2023 includes a wireless device that enables wireless communication and can communicate with the measurement terminal 2003 by wireless communication.
  • the management device 2002 can acquire the activity data provided from the measurement terminal 2003 without connecting the management device 2002 and the measurement terminal 2003 by wire.
  • activity data can be acquired even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire. Therefore, since the communication unit 2023 includes a wireless device and can communicate with the measurement terminal 2003 by wireless communication, it is possible to propose a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
  • a management device 2002 can be provided.
  • the wireless device may be a wireless device in which the number of measurement terminals 2003 that can be simultaneously connected using wireless communication is limited to a predetermined number or less. Since the wireless device is a wireless device in which the number of terminals that can be connected simultaneously using wireless communication is limited to a predetermined number or less, the radio band that can be used in wireless communication is limited, and / or communication used for wireless communication. Even if there are restrictions due to the device, it is possible to communicate with the measuring terminal 2003 by wireless communication.
  • a wireless device for example, it corresponds to Bluetooth (registered trademark), a wireless device compatible with Wi-Fi (WiFi) (registered trademark) such as IEEE 802.11 a / b / g / n / ax / ba / EHT.
  • Wi-Fi Wi-Fi
  • Examples include wireless devices that support short-range wireless communication (NFC) and wireless devices that support short-range wireless communication (NFC).
  • the communication unit 2023 is configured to be connectable to the management device side wireless device W, which is configured separately from the management device 2002, via the network N.
  • the management device-side wireless device W which is configured separately from the management device 2002, can be connected to the management device-side wireless device W via the network N, so that the management device-side wireless device W can be arranged at a location away from the management device 2002.
  • the activity data provided from the measurement terminal 2003 located at a position away from the management device 2002 can be received via the management device side wireless device W.
  • the number of the management device side wireless devices W is not particularly limited, and the communication unit 2023 may be configured so as to be able to connect to one or a plurality of management device side wireless devices W.
  • the management device side wireless device W is configured separately from the management device 2002, and is not particularly limited as long as it can communicate with the measurement terminal 2003 by wireless communication, and may be configured in the same manner as the wireless device included in the communication unit 2023. ..
  • the management device side wireless device W preferably includes a wireless device compatible with Bluetooth (registered trademark). By including a wireless device compatible with Bluetooth (registered trademark) suitable for simple information exchange at a short distance of several meters to several tens of meters, the distance between the management device side wireless device W and the measurement terminal 2003 is several.
  • the management device side wireless device W and the measurement terminal 2003 can perform wireless communication for exchanging simple information using radio waves. Since wireless communication using a wireless device compatible with Bluetooth (registered trademark) has less directivity of electromagnetic waves used for wireless communication than infrared communication or the like, the direction and / or measurement of the measurement terminal 2003 with respect to the wireless device W on the management device side. The adverse effect on wireless communication due to the direction of the management device side wireless device W with respect to the terminal 2003 can be reduced. Therefore, in more situations, activity data can be obtained.
  • Communication using a wireless device compatible with Bluetooth can encrypt the communication content using a passkey, so it is possible to prevent interception of activity data by a third party who is neither the managed person nor the user. .. That is, the fear of the managed person regarding the interception of the activity data can be reduced, and the activity data can be provided by more managed persons.
  • the number of management device-side wireless devices W included in the management system 2001 is not particularly limited, and may be configured to include one or a plurality of management device-side wireless devices W.
  • the management system 2001 will be described as including the management device side wireless device W.
  • the measurement terminal 2003 is a terminal capable of providing activity data of a patient or the like to the management device 2002.
  • the measurement terminal 2003 is not particularly limited as long as it is a terminal capable of providing the activity data of the patient or the like to the management device 2002. Examples thereof include wearable terminals exemplified by smart bands, smart watches, etc., which are configured to be able to provide activity data measured by using wireless communication to the measuring terminal 2003 by a wireless device corresponding to the trademark).
  • the number of measurement terminals 2003 included in the management system 2001 is not particularly limited, and may be configured to include one or a plurality of measurement terminals 2003.
  • the measuring terminal 2003 includes one or more conventional measuring instruments capable of measuring the activity data of the managed person, which is exemplified by a sphygmomanometer, a pulse meter, a pedometer, an exercise meter, a thermometer, and / or a blood glucose meter. Is preferable.
  • the measuring terminal 2003 includes one or more conventional measuring instruments capable of measuring the activity data of the managed person, the activity data of the patient or the like can be provided to the management device 2002.
  • the management system 2001 includes a display terminal 2004 capable of receiving and displaying analysis results and the like from the management device 2002.
  • the display terminal 2004 includes at least a control unit 2041, a storage unit 2042, and a communication unit 2043.
  • the display terminal 2004 is not particularly limited, and is, for example, a mobile terminal that can be carried by a patient or the like, which is exemplified by a smartphone, a tablet terminal, or the like, or a part of the body of the patient or the like, which is exemplified by a smart band, a smart watch, or the like. Examples include wearable terminals that can be attached to a smartphone.
  • the display terminal 2004 includes the measurement unit 2044. Since the display terminal 2004 includes the measurement unit 2044, the display terminal 2004 can acquire activity data of a patient or the like and provide the activity data to the management device 2002.
  • the display terminal 2004 preferably includes a display unit 2045.
  • the display terminal 2004 can receive the proposal service screen, the analysis result time series information, and / or the advice and the like from the management device 2002 and display them on the display unit 2045.
  • the display of the proposed service screen or the like using the display unit 2045 will be described in more detail later.
  • the display terminal 2004 when the display terminal 2004 includes the display unit 2045, it is preferable that the display terminal 2004 includes an input unit (not shown).
  • the managed person or the like who uses the display terminal 2004 transmits the proposal service screen, the analysis result time series information, and / or the advice to the management device 2002 via the input unit. Can command.
  • the managed person or the like using the display terminal 2004 may specify any one or more of the plurality of advices via the input unit. The fact that the managed person or the like using the display terminal 2004 specifies any one or more of the plurality of advices via the input unit will be described in more detail later.
  • Control unit 2041 The hardware configuration of the control unit 2041 is the same as that of the control unit 2021.
  • the control unit 2041 reads a predetermined program and cooperates with the storage unit 2042, the communication unit 2043, the measurement unit 2044, the display unit 2045, and / or the input unit as necessary to configure the software configuration in the display terminal 2004.
  • the elements such as the analysis result receiving unit 2411, the advice receiving unit 2412, and the display control unit 2413 are realized.
  • Storage 2042 The hardware configuration of the storage unit 2042 is the same as that of the storage unit 2022.
  • the storage unit 2042 stores at least a control program or the like executed by the microcomputer.
  • Communication unit 2043 The hardware configuration of the communication unit 2043 is the same as that of the communication unit 2023.
  • the communication unit 2043 includes a wireless device that enables wireless communication and can communicate with the management device 2002 by wireless communication.
  • the display terminal 2004 can provide the activity data to the management device 2002 without connecting the management device 2002 and the display terminal 2004 by wire.
  • activity data can be provided even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire.
  • the communication unit 2043 of the management device 2002 When the communication unit 2023 of the management device 2002 is configured to be connectable via the network N to the management device side wireless device W configured separately from the management device 2002, the communication unit 2043 corresponds to Bluetooth (registered trademark). It is preferable to include the wireless device.
  • the distance between the wireless device W on the management device side and the measurement terminal 2003 is about several meters to several tens of meters by including a wireless device compatible with Bluetooth (registered trademark) suitable for simple information exchange at a short distance.
  • the management device side wireless device W and the measurement terminal 2003 can perform wireless communication for exchanging simple information using radio waves.
  • wireless communication using a wireless device compatible with Bluetooth has less directivity of electromagnetic waves used for wireless communication than infrared communication or the like, the direction and / or measurement of the measurement terminal 2003 with respect to the wireless device W on the management device side.
  • the adverse effect on wireless communication due to the direction of the management device side wireless device W with respect to the terminal 2003 can be reduced. Therefore, activity data may be provided in more situations.
  • Communication using a wireless device compatible with Bluetooth (registered trademark) can encrypt the communication content using a passkey, so it is possible to prevent interception of activity data by a third party who is neither the managed person nor the user. .. That is, it is possible to reduce the fear of the managed person regarding the interception of the activity data and provide the activity data from more managed persons.
  • the measuring unit 2044 is not particularly limited as long as it is a measuring unit capable of acquiring activity data of the managed person, and is exemplified by a blood pressure meter, a pulse meter, a pedometer, an exercise meter, a thermometer, and / or a glucose meter. It may be a measuring unit including one or more conventional measuring instruments capable of measuring the activity data of the managed person.
  • the measurement unit 2044 is configured to measure the activity data of the managed person at different dates and times and to store the time series information of the measured activity data.
  • the measurement unit 2044 measures the activity data of the managed person at different dates and times, and the time-series information of the measured activity data can be stored so that the measurement unit 2044 issues a command in response to a command from the management device 2002 or the like. It is possible to provide time-series information of activity data to the management device 2002 and the like. As a result, the number of communications between the management device 2002 and the measurement terminal 2003 can be reduced.
  • Display unit 2045 The type of the display unit 2045 is not particularly limited as long as it can display the analysis result time series information and / or advice described later, and examples thereof include a monitor, a touch panel, and a projector.
  • the type of input unit is not particularly limited as long as one or more of a plurality of advices can be specified, for example, a touch panel, a software keyboard, a microphone that recognizes voice, a communication device that receives input from an external device, and the like. Examples include a keyboard and a mouse.
  • Network N The type of network N is not particularly limited as long as it is a network that connects the management device 2002 and the measurement terminal 2003 so as to be communicable.
  • a personal area network a local area network, an intranet, an extranet, the Internet, or a Wi-Fi network.
  • USB universal serial bus
  • the network N preferably includes a network capable of wireless communication. Since the network N includes a network capable of wireless communication, activity data can be provided between the management device 2002 and the measurement terminal 2003 without connecting the management device 2002 and the measurement terminal 2003 by wire. As a result, activity data can be provided even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire.
  • FIG. 27 is a main flowchart showing an example of the health management process executed by the management device 2002. In the following, a preferable procedure of the health management process performed by the management device 2002 will be described with reference to FIG. 27.
  • Step S2010 Activity data reception process
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and performs an activity data reception process for receiving the activity data from the measurement terminal 2003 (step S2010).
  • the control unit 2021 shifts the process to step S2020.
  • the preferred procedure of the activity data reception process performed in step S2010 will be described in more detail later with reference to FIG. 28.
  • the activity data can be received from the measuring terminal 2003.
  • Step S2020 Activity data analysis process
  • the control unit 2021 executes the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, analyzes the activity data received in step S2010, and generates an analysis result based on the activity data. Perform the process (step S2020).
  • the control unit 2021 shifts the process to step S2030. A preferred procedure for the activity data analysis process performed in step S2020 will be described in more detail later with reference to FIG.
  • a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the measurement terminal 2003. Can be done.
  • Step S2030 Service screen generation process
  • the control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and generates a service screen generation process including a proposal service including a proposal service based on the analysis result generated in step S2020. (Step S2030).
  • the control unit 2021 shifts the process to step S2010, and repeats steps S2010 to S2030.
  • a preferred procedure for the service screen generation process performed in step S2030 will be described in more detail later with reference to FIG.
  • a disease based on the analysis result generated based on the activity data of the patient or the like provided from the measurement terminal 2003.
  • a screen containing information and corresponding proposed services can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
  • a service that reflects not only activity data but also lifestyle habits analyzed based on activity data Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
  • FIG. 28 is a flowchart showing an example of the activity data reception process executed by the management device 2002. Hereinafter, a preferable procedure of the activity data reception process performed in step S2010 of FIG. 27 will be described with reference to FIG. 28.
  • Step S2011 Determining whether or not there is a measurement terminal that can be connected
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is a connectable measurement terminal 2003 (step S2011). If there is a connectable measuring terminal 2003, the control unit 2021 shifts the process to step S2012. If there is no connectable measurement terminal 2003, the control unit 2021 ends the activity data reception process and shifts the process to step S2020.
  • the control unit 2021 By performing a process of determining whether or not there is a connectable measurement terminal 2003, the control unit 2021 receives the activity data provided from the measurement terminal 2003 only when there is a connectable measurement terminal 2003. Can be executed. As a result, when there is no connectable measurement terminal 2003, it is possible to reduce the load on the control unit 2021 and the like related to the process of receiving the activity data.
  • Step S2012 Determining whether or not there is a measurement terminal capable of receiving activity data
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, refers to the terminal information table 2221 for the connectable measurement terminal 2003, and is a measurement terminal capable of receiving the activity data.
  • a process for determining whether or not there is 2003 is performed (step S2012).
  • the means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is not particularly limited, and for example, the reception availability stored in the terminal information table 2221 is "receivable”. It may be a means for determining whether or not there is a measurement terminal 2003 identified by a terminal ID whose reception state is “not received”.
  • the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a relatively small number due to restrictions on the radio band that can be used in wireless communication and / or restrictions by communication devices used for wireless communication. obtain.
  • the management device 2002 becomes the connection target due to the limitation of the number of measurement terminals 2003 that can be connected at the same time. It is possible that all of the measurement terminals 2003 cannot be connected at the same time, and activity data cannot be received from the measurement terminals 2003 that are not connected at the same time.
  • the means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is that the reception availability stored in the terminal information table 2221 is "receivable" and the reception status is By means of determining whether or not there is a measurement terminal 2003 identified by a terminal ID that is "not received", the measurement terminal 2003 that was the source of the activity data (the reception state is "received”).
  • the measurement terminal 2003 identified by the terminal ID) and the measurement terminal 2003 (measurement terminal 2003 identified by the terminal ID whose reception status is "not received") different from the measurement terminal 2003 that was the source of the activity data. Can be identified.
  • the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a predetermined number that is smaller than the total number of measurement terminals 2003 due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even if this is done, it is determined whether or not there is a measurement terminal 2003 that is different from the measurement terminal 2003 that was the source of the activity data, and the activity data is output from the measurement terminal 2003 that is different from the measurement terminal 2003 that was the source of the activity data. Can be received.
  • control unit 2021 shifts the process to step S2013. If there is no measuring terminal 2003 capable of receiving the activity data, the control unit 2021 shifts the process to step S2014.
  • Step S2013 Activity data is received from a predetermined number or less of measurement terminals that can receive activity data
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and for the measurement terminals 2003 that can be connected and can receive the activity data, the activity data is transmitted from the measurement terminals 2003 of a predetermined number or less. Is received, the reception status stored in the terminal information table 2221 is changed to "received", and the last reception date and time is changed to the current date and time (step S2013).
  • the control unit 2021 shifts the process to step S2016.
  • the management device 2002 can receive the activity data, for example, the measurement terminals 2003.
  • the activity data can be received from the measurement terminal 2003 which is different from the measurement terminal 2003 which was the transmission source of the activity data.
  • the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a predetermined number that is smaller than the total number of measurement terminals 2003 due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even if this is done, activity data can be received from a number of measurement terminals 2003 that exceeds a predetermined number. Therefore, it is possible to receive the activity data more reliably and propose a service based on the activity data.
  • the measurement terminal 2003 By performing a process of changing the reception state stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it is possible to determine the measurement terminal 2003 that was the source of the activity data. ..
  • the date and time when the activity data was last received from the measurement terminal 2003 by changing the last reception date and time stored in the terminal information table 2221 to the current date and time. Can be obtained.
  • the data reception process may include a process of receiving activity data from a predetermined number or less of measurement terminals 2003 in which a predetermined time has passed since the activity data was received, which is realized by step S2014 and step S2015. preferable.
  • the predetermined time elapses, the activity data that can be provided by the measurement terminal 2003 can be received after the reception of the activity data is started and / or completed.
  • Step S2014 Determining whether or not there is a measurement terminal for which a predetermined time has passed since reception
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and determines whether or not there is a measurement terminal 2003 for which a predetermined time has passed from the reception of the connectable measurement terminal 2003. Perform the determination process (step S2014). If there is a measurement terminal 2003 for which a predetermined time has passed since the reception, the control unit 2021 shifts the process to step S2015. If there is no measurement terminal 2003 for which a predetermined time has passed since the reception, the control unit 2021 ends the activity data reception process and shifts the process to step S2020.
  • the measurement terminal 2003 can measure and store the activity data even after the activity data is provided to the management device 2002. Therefore, even after the activity data is provided to the management device 2002, there may be activity data that is not provided to the management device 2002.
  • the activity data is received from the measurement terminal 2003 different from the measurement terminal 2003 which was the transmission source of the activity data, there is a possibility that the measurement terminal 2003 cannot receive the activity data measured and accumulated after the activity data is provided.
  • the management device 2002 may receive the activity data that can be provided by the measurement terminal 2003 after the reception of the activity data is started and / or completed. Therefore, after providing the activity data, the measurement terminal 2003 can more reliably receive the activity data that can be provided, and can propose a service based on the activity data.
  • the process of determining whether or not there is a measurement terminal 2003 for which a predetermined time has passed since reception is not particularly limited, and each terminal ID stored in the terminal information table 2221 is associated with the terminal ID. By comparing the received last reception date and time with the current time, it may be a process of determining whether or not there is a measurement terminal 2003 in which a predetermined time has passed since the reception.
  • Step S2015 Activity data is received from a predetermined number or less of measurement terminals for which a predetermined time has passed since reception
  • the control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and activates the measurement terminals 2003 that can be connected and a predetermined time has passed since the reception from the measurement terminals 2003 of a predetermined number or less.
  • a process of receiving data, changing the reception status stored in the terminal information table 2221 to "received", and changing the last reception date and time to the current date and time is performed (step S2015).
  • the control unit 2021 shifts the process to step S2016.
  • the management device 2002 may receive the activity data that can be provided by the measurement terminal 2003 after the reception of the activity data is started and / or completed. Therefore, after providing the activity data, the measurement terminal 2003 can more reliably receive the activity data that can be provided, and can propose a service based on the activity data.
  • the measurement terminal 2003 By performing a process of changing the reception state stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it is possible to determine the measurement terminal 2003 that was the source of the activity data. ..
  • the date and time when the activity data was last received from the measurement terminal 2003 by changing the last reception date and time stored in the terminal information table 2221 to the current date and time. Can be obtained.
  • Step S2016 Store activity data
  • the control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022, and outputs the terminal ID that identifies the measurement terminal 2003 that provided the activity data, the managed person who provided the activity data, and the activity data.
  • a process of associating the received date and time with the received activity data and storing it in the activity data table 2222 is performed (step S2016).
  • the control unit 2021 ends the activity data reception process and shifts the process to step S2020.
  • the process of associating the terminal ID that identifies the measurement terminal 2003 that provided the activity data, the managed person who provided the activity data, the date and time when the activity data was received, and the received activity data in the activity data table 2222 is performed. By doing so, it is possible to memorize that the measurement terminal 2003 identified by the terminal ID is the source of the activity data. Further, the date and time when the activity data is received can be stored in the measurement terminal 2003 identified by the terminal ID.
  • the reception availability is that the means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is stored in the terminal information table 2221.
  • activity data is collected from all of a plurality of measurement terminals 2003.
  • the control unit 2021 executes a process of changing the reception status to "not received” for each activity data associated with the reception status "received” stored in the terminal information table 2221. Is preferable.
  • the process of determining whether or not the activity data is received from all of the plurality of measurement terminals 2003 and stored is not particularly limited.
  • the measurement terminal 2003 is identified for all of the plurality of measurement terminals 2003. It may be a process of determining whether or not the terminal ID is associated with the reception status "received" and stored in the terminal information table 2221.
  • the reception of the activity data is started and / Alternatively, the activity data that can be provided by the measuring terminal 2003 after completion can be received. Therefore, it is possible to more reliably receive the activity data that can be provided by the measurement terminal 2003 after starting and / or completing the activity data, and propose a service based on the activity data.
  • FIG. 29 is a flowchart showing an example of the activity data analysis process executed by the management device 2002.
  • a preferable procedure of the activity data analysis process executed in step S2020 of FIG. 27 will be described with reference to FIG. 29.
  • Step S2021 Determine if there is activity data to be evaluated
  • the control unit 2021 executes the evaluation generation unit 2212A relating to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is activity data to be evaluated (step). S2021). If activity data is received in the data reception process and there is activity data to be evaluated, the control unit 2021 shifts the process to step S2022. If no activity data has been received in the data reception process and there is no activity data to be evaluated, the control unit 2021 shifts the process to step S2023.
  • control unit 2021 By performing a process of determining whether or not there is activity data to be evaluated, when there is activity data to be evaluated received in the data reception process, the control unit 2021 evaluates the activity data to be evaluated. Can be executed.
  • Step S2022 Select one activity data to be evaluated and generate an evaluation based on the reference information
  • the control unit 2021 executes the evaluation generation unit 2212A regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, selects one activity data to be evaluated, and stores it in the reference information table 2223.
  • a process of generating an evaluation based on the reference information is performed (step S2022).
  • the control unit 2021 shifts the process to step S2021.
  • the control unit 2021 acquires and refers to the reference information associated with the item corresponding to the activity data for the activity data to be evaluated from the reference information table 2223, and the reference information indicates the activity data to be evaluated. It is determined whether or not the activity data indicates a value that satisfies the upper limit and / or the lower limit. If the activity data shows a value that satisfies the upper limit and / or the lower limit indicated by the reference information, the evaluation associated with the reference information is generated.
  • the evaluation associated with the reference information is not generated. Thereby, an evaluation for the activity data can be generated based on the reference information stored in the reference information table 2223.
  • the process of generating an evaluation based on the reference information stored in the reference information table 2223 compares the activity data with the statistical value.
  • the process for generating an evaluation is not particularly limited, and for example, a process for generating an evaluation associated with reference information when the difference and / or ratio between the activity data and the statistical value is within a predetermined range, and the activity data. Examples include processing to generate an evaluation based on an index based on the difference from the statistical value and / or the ratio.
  • Step S2023 Determine if there is an evaluation that can generate new disease information
  • the control unit 2021 can execute the disease information generation unit 2212B related to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and generate new disease information in the evaluation generated in step S2022.
  • a process of determining whether or not there is an evaluation is performed (step S2023). If there is an evaluation capable of generating new disease information, the control unit 2021 shifts the process to step S2024. If there is no evaluation capable of generating new disease information, the control unit 2021 shifts the process to step S2025.
  • Step S2024 Select one evaluation that can generate new disease information, and generate disease information based on the selected evaluation
  • the control unit 2021 executes the disease information generation unit 2212B related to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and is an evaluation capable of generating new disease information among the evaluations generated in step S2022.
  • One is selected, and the disease information stored in the disease information table 2224 is used to perform a process of generating disease information based on the selected evaluation (step S2024).
  • the control unit 2021 shifts the process to step S2023.
  • the control unit 2021 determines whether or not the disease information associated with the evaluation condition including the selected evaluation is stored in the disease information table 2224 for the generated evaluation. When the associated disease information is stored, it is determined whether or not the generated evaluation satisfies the evaluation condition associated with the disease information, and if it is satisfied, the disease information is generated. If the associated disease information is not stored, the disease information is not generated.
  • Step S2025 Evaluation and determination of whether disease information has been generated
  • the control unit 2021 executes the analysis result generation unit 2212C regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and the evaluation generated in step S2022 and the disease information generated in step S2020 are generated.
  • a process of determining whether or not there is present is performed (step S2025). If there is an evaluation generated and disease information generated, the control unit 2021 moves the process to step S2026. If neither the generated evaluation nor the generated disease information is available, the control unit 2021 ends the activity data analysis process and moves the process to step S2030.
  • step S2022 It was generated by performing the evaluation generated in step S2022 and the process of determining whether or not there is the disease information generated in step S2024, and if there is the generated evaluation and the generated disease information. It is possible to perform an evaluation and a process of generating analysis results based on the generated disease information.
  • Step S2026 Generate analysis results based on evaluation and disease information
  • the control unit 2021 executes the analysis result generation unit 2212C regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and obtains the evaluation generated in step S2022 and the disease information generated in step S2020.
  • a process of generating an analysis result based on the analysis result and storing it in the analysis result table 2225 is performed (step S2026).
  • the control unit 2021 ends the activity data analysis process and shifts the process to step S2030.
  • the received activity data is stored in the reference information table 2223 in order to perform the process of generating the evaluation generated in step S2022 and the analysis result based on the disease information generated in step S2024 and storing it in the analysis result table 2225. It is possible to generate an analysis result analyzed based on the reference information and the disease information stored in the disease information table 2224.
  • the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
  • the evaluation generation unit 2212A By executing the evaluation generation unit 2212A in step S2021 and step S2022, the evaluation for the activity data is generated based on the reference information, so that the influence of the subjective or arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved assessment in objectivity.
  • the disease information generation unit 2212B By executing the disease information generation unit 2212B in steps S2023 and S2024 and executing the analysis result generation unit 2212C in steps S2025 and S2026, the disease information is generated and generated based on the evaluation thus generated. Since the analysis result is generated based on the disease information, the analysis result improved in objectivity can be generated.
  • FIG. 30 is a flowchart showing an example of the service screen generation process executed by the management device 2002.
  • a preferable procedure of the service screen generation process performed in step S2030 of FIG. 27 will be described with reference to FIG.
  • Step S2031 Determining whether or not there is evaluation and disease information satisfying a predetermined condition
  • the control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and determines whether or not there is evaluation and disease information satisfying a predetermined condition regarding the generation of the screen including the proposed service. (Step S2031). If there is evaluation and disease information satisfying a predetermined condition, the control unit 2021 shifts the process to step S2032. If there is no evaluation and disease information satisfying the predetermined conditions, the control unit 2021 shifts the process to step S2034.
  • the control unit 2021 executes a process of generating a proposal service screen when there is an evaluation and disease information satisfying a predetermined condition by performing an evaluation satisfying a predetermined condition and a process of determining whether or not there is disease information. can.
  • the patient or the like may have a medical service and / or a health problem that scrutinizes the possibility of having a health problem. Further beneficial services such as corresponding medical services may be needed.
  • the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
  • the predetermined conditions for generating the screen including the proposed service are not particularly limited as long as they are the conditions for generating the screen including the proposed service.
  • the predetermined conditions preferably include the corresponding conditions when the evaluation and disease information indicate the above possibilities. Proposed service when the prescribed conditions meet the prescribed conditions when the patient or the like needs more services by including the conditions corresponding to the case where the evaluation and the disease information indicate the above possibility.
  • Step S2032 Generate a proposal service screen
  • the control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of generating a proposal service screen including the proposal service corresponding to the disease information (step S2032).
  • the control unit 2021 shifts the process to step S2033.
  • the screen including the proposal service is generated when the patient or the like determined by the predetermined conditions further needs the service.
  • a patient or the like needs more services, he / she can propose a service that is beneficial to the patient or the like.
  • the information included in the proposal service screen is not particularly limited as long as the proposal service corresponding to the disease information is included. Examples include a service that proposes a medical service corresponding to the above, a service that proposes a medical service corresponding to the analysis result and disease information, and the like.
  • Step S2033 Send the proposal service screen
  • the control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of transmitting the proposed service screen generated in step S2032 to an external device (step S2033).
  • the control unit 2021 shifts the process to step S2034.
  • the external device to which the proposed service screen is transmitted is not particularly limited, and for example, a display terminal 2004, an administrator terminal used by an employee of a medical facility exemplified as a doctor, a nurse, a care manager, etc., and / Alternatively, a related party terminal or the like used by a related person such as a patient, which is exemplified by a family member such as a patient or an insurer, etc., can be mentioned.
  • an employee who uses the administrator terminal such as a patient who uses the display terminal 2004, and / or a related person who uses the related person terminal. It is possible to propose a service to the patient and the like and provide the service to the patient and the like.
  • the control unit 2021 executes the advice giving unit 2215 in cooperation with the storage unit 2022 and the communication unit 2023, and is arbitrary for each of the plurality of analysis results.
  • the ID that can identify the advice given to the user, the user who gave the advice, the date and time when the advice was received, the analysis result ID that can identify the analysis result, and the advice are associated with each other. May be stored in the advice table 2226.
  • the user of the management device 2002 which is exemplified by a doctor, a nurse, a care manager, etc., can give advice to the analysis result.
  • the control unit 2021 executes the time series information transmission unit 2216 in cooperation with the storage unit 2022 and the communication unit 2023, and the analysis result can be displayed in time series. It is preferable to transmit the information, the advice from the user of the management device 2002 regarding the analysis result, and the correspondence information between the advice and the analysis result to the display terminal 2004. Since the time-series information transmission unit 2216 transmits the correspondence information, which is the correspondence between the analysis result and the advice, to the terminal 2004, the patient or the like who uses the display terminal 2004 manages the management device via the correspondence information received by the display terminal 2004. Get advice from 2002 users.
  • the user of the management device 2002 exemplified by the doctor or the like can give the advice to the patient or the like by giving the advice to the analysis result. Therefore, it is possible to propose a service that gives advice from the user of the management device 2002 to the patient or the like.
  • time-series information transmission unit 2216 By executing the time-series information transmission unit 2216, it is possible to propose a service that provides analysis result time-series information that can be useful for grasping changes in the analysis results in time-series.
  • a service that gives advice from users of the management device 2002 to patients and the like and a service that provides analysis result time series information is proposed, the analysis result displayed in time series using the corresponding information is used.
  • control unit 2021 further performs notification processing including the processing of step S2034 and step S2035.
  • notification processing including the processing of step S2034 and step S2035.
  • Step S2034 Determining whether or not there is disease information satisfying a specific condition
  • the control unit 2021 executes the notification unit 2214 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is disease information satisfying a specific condition (step S2031). If there is disease information satisfying a specific condition, the control unit 2021 shifts the process to step S2035. If there is no disease information satisfying a specific condition, the control unit 2021 ends the service screen generation process, shifts the process to step S2010, and repeats the processes of steps S2010 to S2035.
  • the specific conditions are not particularly limited, and are, for example, conditions that are satisfied when a patient or the like can suffer from some disease, or when a patient or the like suffers from some disease and the degree of progression of the disease is equal to or higher than the specific degree of progression.
  • the conditions that satisfy the above may be satisfied.
  • Step S2035 Notify information on disease information
  • the control unit 2021 executes the notification unit 2214 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of notifying the display terminal 2004 of information regarding the disease information (step S2035).
  • the control unit 2021 ends the service screen generation process, shifts the process to step S2010, and repeats the process from step S2010 to step S2035.
  • the patient or the like can grasp the information on the disease information through the display terminal 2004 when he / she may suffer from some disease determined by a specific condition. This makes it possible to provide a management device 2002 capable of proposing a service that is even more useful for patients and the like.
  • step S2010 By causing the management device 2002 to execute the procedure from step S2010 to step S2035, when the patient or the like provides the activity data by using the measurement terminal 2003, the activity data of the patient or the like provided from the measurement terminal 2003 is used.
  • a lifestyle analysis result can be generated based on the analysis result, and a screen including disease information based on the generated analysis result and a corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
  • step S2010 By causing the management device 2002 to execute the procedure from step S2010 to step S2035, it is possible to propose a service that reflects not only the activity data but also the lifestyle analyzed based on the activity data. Furthermore, it is possible to propose a service that reflects disease information based on the analysis results. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
  • step S2010 the management device 2002 to execute the procedure from step S2010 to step S2035, it is possible to provide the management device 2002 capable of proposing a service useful for the patient or the like by using the activity data or the like acquired from the patient or the like.
  • the management device 2002 transmits analysis result time-series information capable of displaying the analysis result in time series, advice from a doctor or the like regarding the analysis result, and correspondence information between the advice and the analysis result to the display terminal 2004, the display terminal 2004 It is preferable to perform an analysis result time-series information display process for displaying the analysis results in time series.
  • an analysis result time-series information display process for displaying the analysis results in time series.
  • FIG. 31 is a flowchart showing an example of analysis result time series information display processing executed by the display terminal 2004.
  • the management device 2002 displays the analysis result time-series information in which the analysis result can be displayed in time series, the advice from doctors and the like regarding the analysis result, and the correspondence information between the advice and the analysis result.
  • a preferable procedure of the analysis result time-series information display processing performed by the display terminal 2004 when transmitting to the terminal 2004 will be described.
  • Step S2041 Determine whether or not the analysis result time series information has been received
  • the control unit 2041 executes the analysis result receiving unit 2411 in cooperation with the storage unit 2042 and the communication unit 2043, and performs a process of determining whether or not the analysis result time series information has been received from the management device 2002 (step S2041). ).
  • the control unit 2041 shifts the process to step S2042. If the analysis result time series information has not been received from the management device 2002, the control unit 2041 shifts the process to step S2047.
  • control unit 2041 can execute the process of displaying the analysis result in time series when the analysis result time series information is received.
  • Step S2042 Determine whether or not advice has been received
  • the control unit 2041 executes the advice receiving unit 2412 in cooperation with the storage unit 2042 and the communication unit 2043, and performs a process of determining whether or not the advice and the corresponding information have been received from the management device 2002 (step S2042).
  • the control unit 2041 shifts the process to step S2043. If the advice or the like has not been received from the management device 2002, the control unit 2041 shifts the process to step S2046.
  • control unit 2041 can execute the process of displaying the advice list when the advice is received.
  • Step S2043 Control to display the advice list
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and displays the display unit 2045 so as to display a list of advice received in step S2042 via the corresponding information. Perform the control process (step S2043).
  • the control unit 2041 shifts the process to step S2044.
  • the patient or the like using the display terminal 2004 can use the correspondence information received by the display terminal 2004.
  • the advice from the user of the management device 2002 can be obtained. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
  • Step S2044 Determine whether or not the specified information has been received
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the input unit, and determines whether or not the designated information has been received from the patient or the like using the display terminal 2004. (Step S2044). When the designated information is received, the control unit 2041 shifts the process to step S2045. If the designated information has not been received, the control unit 2041 shifts the process to step S2046.
  • the display terminal 2004 is used by performing a process of determining whether or not the specified information has been received from a patient or the like who uses the display terminal 2004.
  • the analysis result is associated with the advice by controlling the display range of the time-series information in the range including the analysis result associated with the advice. It is possible to propose a service that displays a range including.
  • Step S2045 Control to display analysis result time series information corresponding to the specified information
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and controls to display the analysis result time series information corresponding to the specified information and the corresponding image related to the corresponding information. (Step S2045).
  • the control unit 2041 shifts the process to step S2047.
  • the analysis result time-series information is displayed on the display unit, and when the patient or the like using the terminal uses this display to display the analysis result.
  • the patient or the like using the display terminal 2004 can grasp the presence or absence of the advice corresponding to the analysis result.
  • the advices are associated with the advices. It is possible to propose a service that controls the display range of the analysis result time series information in the range including the analysis result to be displayed and displays the range including the analysis result associated with the advice.
  • Step S2046 Control to display analysis result time series information
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and performs a process of controlling to display the analysis result time series information and the corresponding image related to the corresponding information ( Step S2046).
  • the control unit 2041 shifts the process to step S2047.
  • the analysis result time series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 uses this display in the analysis result time series.
  • the patient or the like using the display terminal 2004 can grasp the presence or absence of the advice corresponding to the analysis result.
  • Step S2047 Determine whether or not selection information has been received
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and determines whether or not the selection information that can identify one or more selected corresponding images has been received. Perform the determination process (step S2047). Upon receiving the selection information, the control unit 2041 shifts the process to step S2048. If the selection information has not been received, the control unit 2021 shifts the process to step S2041 and repeats the processes of steps S2041 to S2048.
  • Step S2048 Control to display corresponding advice
  • the control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and performs a process of controlling to display the advice corresponding to the selection information (step S2046).
  • the control unit 2021 shifts the process to step S2041 and repeats the process from step S2041 to step S2048.
  • a patient or the like using the display terminal 2004 can instruct the display of the advice corresponding to the analysis result, and can propose a service that can obtain and use the advice. ..
  • the patient or the like measures the activity data of the patient or the like by wearing the measurement terminal 2003 or the like.
  • the patient or the like moves to a place where the management device side wireless device W and the measurement terminal 2003 can wirelessly communicate with each other, and provides the management device 2002 with the activity data measured by the measurement terminal 2003 via the management device side wireless device W. ..
  • the control unit 2021 of the management device 2002 executes the activity data receiving unit 2211, determines that there is a measurement terminal 2003 that can be connected and can receive the activity data, and receives the activity data from the measurement terminal 2003 that can receive the activity data. Performs a series of processes to receive and store the received activity data. As a result, the activity data of the patient or the like is provided from the measurement terminal 2003 to the management device 2002, and the provided activity data is stored in the management device 2002.
  • the control unit 2021 of the management device 2002 executes the activity data analysis unit 2212, generates an evaluation based on the reference information for the received activity data, and generates the disease information based on the generated evaluation. A series of processes for generating analysis results based on evaluation and generated disease information are performed. As a result, the analysis result regarding the activity data provided by the patient or the like via the measurement terminal 2003 is generated.
  • the control unit 2021 of the management device 2002 executes the service screen generation unit 2213, generates a screen including the disease information and the corresponding proposal service for the evaluation and disease information satisfying the predetermined conditions, and displays the generated screen. Perform a series of processes to be transmitted to 2004.
  • the control unit 2021 of the management device 2002 executes the notification unit 2214 in the management device 2002, and performs a process of notifying the display terminal 2004 of the information regarding the disease information when the disease information satisfies a specific condition.
  • the control unit 2041 of the display terminal 2004 receives the service screen and displays it on the display unit 2045.
  • a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the measurement terminal 2003.
  • a screen including disease information based on the generated analysis result and the corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
  • the control unit 2021 of the management device 2002 executes the advice giving unit 2215, and stores the advice given to the analysis result and the analysis result ID which is the correspondence information for associating the advice with the analysis result.
  • the control unit 2021 of the management device 2002 executes the time-series information transmission unit 2216, and the analysis result can be displayed in time series. And the corresponding information between the advice and the analysis result are transmitted to the display terminal 2004.
  • the control unit 2041 of the display terminal 2004 executes the analysis result receiving unit 2411 and receives the analysis result time series information.
  • the control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives advice and correspondence information, and controls the display unit 2045 to display a list of the received advice.
  • FIG. 32 is an example of the display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 displays a plurality of advices on the display unit 2045.
  • FIG. 33 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the analysis result time series information on the display unit 2045.
  • reception and display of analysis result time series information, advice, and correspondence information will be described.
  • the display unit 2045 has an advice list display area 2045A for displaying an advice list, an analysis result time series information display area 2045B for displaying analysis result time series information, and a patient or the like for displaying a patient or the like.
  • the display area 2045C and the like are included.
  • a plurality of advices 2045A1 including the first advice 2045A1a, the second advice 2045A1b, the third advice 2045A1c, and the fourth advice 2045A1d are displayed in the advice list display area 2045A.
  • Reference numeral 2045A1 summarizes these advices.
  • Each of the first advice 2045A1a, the second advice 2045A1b, the third advice 2045A1c, and the fourth advice 2045A1d was stored in the advice ID "S0002" stored in the ID "S0001" of the advice table 2226 shown in FIG. It corresponds to the advice, the advice stored in the ID "S0003", and the advice stored in the ID "S0004".
  • the patient or the like using the display terminal 2004 obtains the advice from the user of the management device 2002 through the correspondence information received by the display terminal 2004. obtain. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
  • the doctor who obtained the second advice 2045A1b "Mr. Sato seems to be dizzy” is dizzy.
  • the third advice 2045A1c "Please schedule the examination tomorrow morning.” Will be given to the patient who caused the problem (Mr. Sato).
  • the care manager (care manager) who obtained the 3rd advice 2045A1c given by the doctor gave the 4th advice 2045A1d "I put the test at 9 o'clock tomorrow morning” indicating that the examination was scheduled according to the 3rd advice 2045A1c. do.
  • Patients and the like (Mr. Sato) may be provided with a service of acquiring the second advice 2045A1b to the fourth advice 2045A1d via the display terminal 2004 and undergoing an examination in accordance with the second advice 2045A1b to the fourth advice 2045A1d.
  • the first advice designated image 2045A2a, the second advice designated image 2045A2b, and the third advice designated image 2045A2c used for designating the advice are displayed in the advice list display area 2045A.
  • Reference numeral 2045A2 shall summarize these advisory designation images.
  • the first advice designated image 2045A2a, the second advice designated image 2045A2b, and the third advice designated image 2045A2c are associated with the first advice 2045A1a, the second advice 2045A1b, and the third advice 2045A1c, respectively.
  • advice designation image 2045A2 is displayed in the advice list display area 2045A and each of the advice designation images 2045A2 is associated with the advice 2045A1, patients and the like using the display terminal 2004 can use the advice designation image 2045A2.
  • the associated advice 2045A1 may be specified.
  • the first analysis result time series information 2045B1a, the second analysis result time series information 2045B1b, and the third analysis result time series information 2045B1c which are information that can grasp the change in the analysis result in the time series, are The analysis result is displayed in the time series information display area 2045B.
  • Reference numeral 2045B1 summarizes the time series information of these analysis results.
  • the analysis result time series information 2045B1 in the analysis result time series information display area 2045B By displaying the analysis result time series information 2045B1 in the analysis result time series information display area 2045B, the analysis result time series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 analyzes using this display.
  • the analysis result time series information 2045B1 including the analysis result corresponding to the ID “A0001” in FIG. 25 and the analysis result corresponding to the ID “A0002” is displayed.
  • Patients and the like who use the display terminal 2004 use the analysis result time series information 2045B1 from the time when the analysis result corresponding to the ID "A0001” is generated to the time when the analysis result corresponding to the ID "A0002” is generated. It is possible to grasp the changes in the time series of the analysis results up to.
  • the first corresponding image 2045B2a indicating that advice is given to the analysis result corresponding to the ID "A0002” is displayed in the analysis result time series information display area 2045B.
  • the second corresponding image 2045B2b indicating that advice is given to the analysis result corresponding to the ID "A0004" is displayed in the analysis result time series information display area 2045B.
  • Reference numeral 2045B1 summarizes the time series information of these analysis results.
  • the user of the display terminal 2004 can specify the advice given from the analysis result time series information and obtain the advice.
  • the information for which the user specifies the corresponding image 2045B2 via the input unit is displayed in the display terminal 2004.
  • the display unit 2045 is controlled so that the display terminal 2004, which has received the information for designating the corresponding image 2045B2, displays the advice corresponding to the corresponding image 2045B2 in the advice list display area 2045A.
  • a patient or the like using the display terminal 2004 transmits designated information for designating any one or more of the plurality of advices 2045A1 using the advice designation image 2045A2.
  • the control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives the designated information, and controls the display range of the analysis result time series information to a range including the analysis result associated with the designated advice.
  • a patient or the like using the display terminal 2004 specifies the first advice 2045A1a "Mr. Sato seems to be dizzy" using the first advice designation image 2045A2a shown in FIG. 32, and the analysis result time series. It shows a state in which the display range of the information 2045B1 is controlled to a range including the analysis result (analysis result corresponding to the analysis result ID “A0004” in FIG. 25) associated with the designated first advice 2045A1a.
  • the first advice 2045A1a corresponds to the advice stored in the ID “S0002” of the advice table 2226 shown in FIG. 26, and the analysis result ID “A0004” corresponds to the analysis result ID “A0004” of the analysis result table 2225 shown in FIG. It is associated with the analysis result stored in.
  • the display range of the analysis result time series information 2045B1 is controlled to the range including the analysis result stored in the analysis result ID “A0004”. Further, "Hanako Sato”, which is a patient or the like corresponding to the analysis result stored in the analysis result ID "A0004", is displayed in the patient or the like display area 2045C.
  • the display range of the analysis result time series information 2045B1 is controlled to the range including the analysis result stored in the analysis result ID "A0004", the patients and the like using the display terminal 2004 correspond to the first advice 2045A1a. It is possible to grasp the analysis result and the change of the analysis result in the time series. Therefore, it is possible to propose a service in which the analysis result time-series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 can grasp the change in the analysis result in the time-series by using this display.
  • selection of compatible image Return to FIG.
  • the patient or the like using the display terminal 2004 transmits selection information for designating any one or more of the plurality of corresponding images 2045B2.
  • the control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives the selection information, and controls the display unit 2045 so as to display the advice associated with the advice on the selection information.
  • FIG. 34 is an example of the display continuing from FIG. 32, and the display control unit 2413 corresponds to the advice 2045A1d (corresponding to the advice ID “S0001” in FIG. 26) regarding the corresponding image 2045B2a in response to the reception of the selection information for selecting the corresponding image 2045B2a.
  • This is an example when the display unit 2045 is displayed.
  • a patient or the like using the display terminal 2004 selects the corresponding image 2045B2a in order to obtain advice regarding the analysis result ID “A0002” indicating an increase in blood pressure.
  • the display control unit 2413 controls the display control unit 2413 to display the advice 2045A1d (advice corresponding to the advice ID “S0001” in FIG.
  • the advice "Temporary after exercise, no problem" corresponding to the advice ID "S0001" is displayed. Therefore, patients and the like who use the display terminal 2004 can obtain and use this advice.
  • the patient, etc. who grasped the change in the analysis result by the analysis result time-series information obtains the advice corresponding to the analysis result through the corresponding image and the corresponding information, and the patient, etc. uses the advice given by other users. Can be done.
  • the user terminal 110 includes all terminals of various forms such as a notebook PC and a tablet terminal in addition to a smartphone.
  • each of the above configurations, functions, and processing units may realize a part or all of them by hardware (for example, an integrated circuit).
  • each of the above configurations, functions, and processing units is installed-type software via a network or by a storage medium such as a disk, or a network-type application such as an ASP, in which a processor interprets and executes a program that realizes each function. It may be realized.
  • Information such as programs, tables, and files that realize each function can be placed in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
  • SSD Solid State Drive

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Abstract

[Problem] To provide a management device and system with which it is possible to suggest a service that is beneficial to a patient, etc., whose state of health is managed by a care facility or a medical facility, etc., the service being suggested using activity data, etc., acquired from the patient, etc. [Solution] A management device 2002 connected to a measurement terminal 2003 via a network N comprises: an activity data analysis unit 2212 for generating, on the basis of activity data provided from the measurement terminal 2003, a result of analyzing lifestyle; and a service screen image generation unit 2213 for generating a screen image including a suggested service corresponding to disease information about disease progression and/or disease risk based on the analysis result.

Description

管理装置、管理システムおよびプログラムManagement equipment, management systems and programs
　本発明は、管理装置、管理システムおよびプログラムに関する。 The present invention relates to a management device, a management system and a program.
　近年、患者や介護施設利用者等（以下、「患者等」ともいう。）の健康管理を行う医療施設や介護施設等（以下、「医療施設等」ともいう。）が増えている。一方、これらの施設等が健康管理を促進しても、患者等が健康状態を継続して計測するとは限らない。そのため、すべての患者等について健康情報を常時取得することは、容易ではない。 In recent years, the number of medical facilities and long-term care facilities (hereinafter also referred to as "medical facilities") that manage the health of patients and long-term care facility users (hereinafter also referred to as "patients") has increased. On the other hand, even if these facilities promote health management, patients and the like do not always measure their health condition continuously. Therefore, it is not easy to constantly obtain health information for all patients and the like.
　例えば、特許文献１では、患者等の使用者が装着する装着型使用者状態情報取得装置が提案されている。この装置は、使用者の手首部に装着され、使用者の生体的特徴を示す生体情報を取得する生体情報取得手段と、前記生体情報を用いて前記使用者を認証する認証手段と、前記使用者の健康状態を示す健康情報を取得する健康情報取得手段と、前記使用者の位置を示す位置情報を取得する位置情報取得手段と、認証された前記使用者を示す使用者認証情報、前記位置情報及び前記健康情報を関連付け使用者状態情報として記憶する制御手段とを備える。特許文献１に記載の発明によれば、装置が使用者の手首部に装着されるため、装置の使用者に負担を掛けることなく、常時、使用者の健康情報及び位置情報を取得し得る。 For example, Patent Document 1 proposes a wearable user state information acquisition device worn by a user such as a patient. This device is attached to the wrist of the user and has a biometric information acquisition means for acquiring biometric information indicating the biometric characteristics of the user, an authentication means for authenticating the user using the biometric information, and the use. Health information acquisition means for acquiring health information indicating the health condition of a person, position information acquisition means for acquiring position information indicating the position of the user, user authentication information indicating the authenticated user, and the position. It is provided with a control means for storing information and the health information as association and user status information. According to the invention described in Patent Document 1, since the device is attached to the wrist of the user, the health information and the position information of the user can be obtained at all times without imposing a burden on the user of the device.
特開２０１３－２１２３１５号公報Japanese Unexamined Patent Publication No. 2013-212315
　しかしながら、特許文献１に記載の装置は、患者等に負担を掛けることなく、患者等の健康情報及び位置情報を常時取得し得るにとどまる。患者等の健康情報及び位置情報を取得することにとどまらず、健康情報をはじめとした活動データを用いて、患者等にとって有益な医療サービス等を提案できれば、疾患を予防し、医療費を削減することに繋がり得る。 However, the device described in Patent Document 1 can only constantly acquire health information and location information of a patient or the like without imposing a burden on the patient or the like. If we can propose useful medical services for patients, etc. using activity data such as health information, in addition to acquiring health information and location information of patients, we will prevent diseases and reduce medical expenses. It can lead to that.
　本発明の目的は、患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置及びシステムを提供することである。 An object of the present invention is to provide a management device and a system capable of proposing a service useful for a patient or the like by using activity data or the like acquired from the patient or the like.
　本発明者らは、上記課題を解決するために鋭意検討した結果、端末から提供される活動データに基づき、生活習慣の分析結果を生成する活動データ分析部と、分析結果に基づく疾患リスクと疾患進行度との少なくともいずれか一方の疾患情報と対応する提案サービスを含む画面を生成するサービス画面生成部と、を備えることで、上記の目的を達成できることを見出し、本発明を完成させるに至った。具体的に、本発明は以下のものを提供する。 As a result of diligent studies to solve the above problems, the present inventors have an activity data analysis unit that generates lifestyle analysis results based on activity data provided from the terminal, and disease risks and diseases based on the analysis results. It has been found that the above object can be achieved by providing a service screen generation unit that generates a screen including a proposal service corresponding to disease information of at least one of the degree of progression, and has completed the present invention. .. Specifically, the present invention provides the following.
　第１の特徴に係る発明は、端末とネットワークを介して接続される管理装置であって、前記端末から提供される活動データに基づき、生活習慣の分析結果を生成する活動データ分析部と、前記分析結果に基づく疾患リスクと疾患進行度との少なくともいずれか一方の疾患情報と対応する提案サービスを含む画面を生成するサービス画面生成部と、備える、管理装置を提供する。 The invention according to the first feature is an activity data analysis unit which is a management device connected to a terminal via a network and generates a lifestyle analysis result based on the activity data provided from the terminal, and the above-mentioned. Provided is a service screen generation unit that generates a screen including a disease information of at least one of a disease risk and a disease progression based on an analysis result and a corresponding proposal service, and a management device including the service screen generation unit.
　第１の特徴に係る発明によれば、患者等が端末を利用して活動データを提供する場合に、この端末から提供される患者等の活動データに基づいて生活習慣の分析結果を生成し、生成した分析結果に基づく疾患情報と対応する提案サービスを含む画面を生成できる。したがって、生成した画面を介して、活動データを反映したサービスを提案できる。 According to the invention according to the first feature, when a patient or the like provides activity data using a terminal, a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the terminal. A screen including disease information based on the generated analysis result and the corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
　第１の特徴に係る発明によれば、活動データだけでなく、活動データに基づいて分析された生活習慣をも反映したサービスを提案し得る。さらに、分析結果に基づく疾患情報をも反映したサービスを提案し得る。したがって、活動データだけでなく、活動データに基づく各種の情報をも反映したサービスを提案し得る。 According to the invention relating to the first feature, it is possible to propose a service that reflects not only the activity data but also the lifestyle analyzed based on the activity data. Furthermore, it is possible to propose a service that reflects disease information based on the analysis results. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
　したがって、第１の特徴に係る発明によれば、患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the first feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like acquired from the patient or the like.
　第２の特徴に係る発明は、第１の特徴に係る発明であって、前記活動データ分析部は、前記活動データに関する基準情報に基づいて前記端末から提供される前記活動データに対する評価を生成する評価生成部と、前記評価に基づいて前記疾患情報を生成する疾患情報生成部と、前記評価及び前記疾患情報に基づいて前記分析結果を生成する分析結果生成部と、を有する、管理装置を提供する。 The invention according to the second feature is an invention according to the first feature, and the activity data analysis unit generates an evaluation for the activity data provided from the terminal based on the reference information regarding the activity data. Provided is a management device having an evaluation generation unit, a disease information generation unit that generates the disease information based on the evaluation, and an analysis result generation unit that generates the analysis result based on the evaluation and the disease information. do.
　人間が活動データを評価する場合、評価の基準となる基準情報を用いなければ、評価する人間の主観や恣意的な判断等が評価に含まれ得る。そのため、人間が基準情報を用いずに行った評価に基づいて疾患情報を生成する場合に、評価に含まれる主観や恣意的な判断等によって疾患情報の客観性に改善の余地があり得る。客観性に改善の余地がある疾患情報に基づいて生成される分析結果もまた、客観性に改善の余地があり得る。 When a human evaluates activity data, the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
　第２の特徴に係る発明によれば、基準情報に基づいて活動データに対する評価を生成するため、評価する人間の主観や恣意的な判断等の影響を抑え得る。したがって、客観性において改善された評価を生成し得る。このように生成された評価に基づいて疾患情報を生成し、生成された疾患情報に基づいて分析結果を生成するため、客観性において改善された分析結果を生成し得る。 According to the invention relating to the second feature, since the evaluation for the activity data is generated based on the reference information, the influence of the subjectivity and arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved assessment in objectivity. Since the disease information is generated based on the evaluation thus generated and the analysis result is generated based on the generated disease information, it is possible to generate the analysis result improved in objectivity.
　したがって、第２の特徴に係る発明によれば、客観性において改善された評価及び分析結果を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the second feature, it is possible to provide a management device capable of proposing a service useful for a patient or the like by using the evaluation and analysis results improved in objectivity.
　第３の特徴に係る発明は、第２の特徴に係る発明であって、前記サービス画面生成部は、前記評価及び前記疾患情報が所定の条件を満たす場合に前記提案サービスを含む画面を生成する、管理装置を提供する。 The invention according to the third feature is an invention according to the second feature, and the service screen generation unit generates a screen including the proposed service when the evaluation and the disease information satisfy a predetermined condition. , Provides management equipment.
　患者等の活動データが健康状態に問題を抱えている可能性を示唆する場合に、患者等は、健康状態に問題を抱えている可能性について精査する医療サービス、及び／又は健康状態の問題に対応する医療サービス等の有益なサービスをさらに必要とし得る。患者等が何らかの疾患に罹患している可能性がある場合に、患者等は、疾患に罹患している可能性について精査する医療サービス、及び／又は疾患の治療に関する医療サービス等の有益なサービスをさらに必要とし得る。これらの両方の可能性が示唆される場合には、患者等は、有益なサービスをよりいっそう必要とし得る。 When activity data of a patient or the like suggests that they may have a health problem, the patient or the like may have a medical service and / or a health problem that scrutinizes the possibility of having a health problem. Further beneficial services such as corresponding medical services may be needed. When a patient may have some kind of illness, the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
　第３の特徴に係る発明によれば、例えば、評価及び疾患情報が上述の可能性を示している場合に対応する条件等の患者等がサービスをよりいっそう必要とする場合に対応する所定の条件を満たす場合に提案サービスを含む画面を生成するため、患者等がサービスをよりいっそう必要とする場合に、患者等にとって有益なサービスを提案し得る。 According to the invention according to the third feature, for example, predetermined conditions corresponding to the case where the patient or the like needs more services, such as the conditions corresponding to the case where the evaluation and the disease information indicate the above-mentioned possibility. Since a screen including the proposal service is generated when the condition is satisfied, a service useful for the patient or the like can be proposed when the patient or the like needs the service more.
　したがって、第３の特徴に係る発明によれば、介護施設や医療施設等によって健康状態を管理される患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the third feature, a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. Can be provided.
　第４の特徴に係る発明は、第１の特徴から第３の特徴のいずれかに係る発明であって、前記疾患情報が特定の条件を満たす場合に、前記疾患情報に関する情報を前記端末に通知する通知部をさらに有する、管理装置を提供する。 The invention according to the fourth feature is an invention according to any one of the first to third features, and when the disease information satisfies a specific condition, the information regarding the disease information is notified to the terminal. Provide a management device further having a notification unit to be used.
　第４の特徴に係る発明によれば、患者等は、何らかの疾患に罹患し得る場合に、端末を通じて疾患情報に関する情報を把握し得る。これにより、患者等にとってよりいっそう有益なサービスを提案可能な管理装置を提供できる。 According to the invention according to the fourth feature, when a patient or the like may suffer from some kind of disease, he / she can grasp information on the disease information through a terminal. This makes it possible to provide a management device capable of proposing even more useful services for patients and the like.
　第５の特徴に係る発明は、第１の特徴から第４の特徴のいずれかに係る発明であって、無線通信を用いて前記端末と接続可能に構成される、管理装置を提供する。 The invention according to the fifth feature is an invention according to any one of the first to fourth features, and provides a management device configured to be connectable to the terminal using wireless communication.
　第５の特徴に係る発明によれば、管理装置は、管理装置と端末とを有線接続することなく、端末から提供される活動データを取得し得る。これにより、管理装置と端末とを有線接続できない状況であっても活動データを取得し得る。したがって、第５の特徴に係る発明によれば、患者等からより確実に取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 According to the invention according to the fifth feature, the management device can acquire the activity data provided from the terminal without connecting the management device and the terminal by wire. As a result, activity data can be acquired even in a situation where the management device and the terminal cannot be connected by wire. Therefore, according to the invention according to the fifth feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
　第６の特徴に係る発明は、第５の特徴に係る発明であって、前記端末から前記無線通信を用いて前記活動データを受信可能な活動データ受信部をさらに備え、前記活動データ受信部は、複数の前記端末のうち、前記無線通信を用いて同時に接続可能な所定数以下の前記端末から前記活動データを同時に受信可能であり、続いて、前記活動データの送信元であった前記端末とは異なる端末であって、前記所定数以下の前記端末から前記活動データを同時に受信可能である、管理装置を提供する。 The invention according to the sixth feature is the invention according to the fifth feature, further comprising an activity data receiving unit capable of receiving the activity data from the terminal using the wireless communication, and the activity data receiving unit is provided. , Among the plurality of terminals, the activity data can be simultaneously received from the predetermined number or less of the terminals that can be simultaneously connected using the wireless communication, and subsequently, with the terminal that was the source of the activity data. Provides a management device which is a different terminal and can simultaneously receive the activity data from the predetermined number or less of the terminals.
　無線通信では、無線通信において利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限等によって無線通信を用いて同時に接続可能な端末の数が比較的少ない数に制限され得る。無線通信による接続において接続対象となる端末の総数が同時に接続可能な端末の数より多い場合、同時に接続可能な端末の数の制限により、管理装置は、接続対象となる端末のすべてと同時に接続できず、同時に接続されなかった端末から活動データを受信できない可能性がある。 In wireless communication, the number of terminals that can be connected simultaneously using wireless communication can be limited to a relatively small number due to restrictions on the radio band that can be used in wireless communication and / or restrictions by the communication device used for wireless communication. When the total number of terminals to be connected is larger than the number of terminals that can be connected at the same time in the wireless communication connection, the management device can connect to all the terminals to be connected at the same time due to the limitation of the number of terminals that can be connected at the same time. There is a possibility that activity data cannot be received from terminals that were not connected at the same time.
　第６の特徴に係る発明によれば、利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限等によって無線通信を用いて同時に接続可能な端末の数が端末の総数より少ない所定数に制限される場合でも、所定数を上回る数の端末から活動データを受信し得る。したがって、活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 According to the invention according to the sixth feature, the number of terminals that can be connected simultaneously using wireless communication is smaller than the total number of terminals due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even when the number is limited to a predetermined number, activity data can be received from a number of terminals exceeding the predetermined number. Therefore, it is possible to receive the activity data more reliably and propose a service based on the activity data.
　したがって、第６の特徴に係る発明によれば、患者等からより確実に取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the sixth feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
　第７の特徴に係る発明は、第６の特徴に係る発明であって、前記活動データ受信部は、前記活動データの送信元であった前記端末から前記活動データの受信を開始及び／又は完了してから所定時間が経過した場合に、前記送信元であった前記端末からの前記活動データの受信を再び可能にする、管理装置を提供する。 The invention according to the seventh feature is the invention according to the sixth feature, and the activity data receiving unit starts and / or completes the reception of the activity data from the terminal that was the source of the activity data. Provided is a management device that enables the reception of the activity data from the terminal that was the transmission source again when a predetermined time elapses.
　端末は、管理装置に活動データを提供した後も、活動データを計測及び蓄積し得る。したがって、管理装置に活動データを提供した後も、管理装置に提供されていない活動データが存在し得る。活動データの送信元であった端末とは異なる端末から活動データを受信する場合、活動データを提供した後に端末が計測及び蓄積した活動データを受信できない可能性がある。 The terminal can measure and store the activity data even after providing the activity data to the management device. Therefore, even after the activity data is provided to the management device, there may be activity data that is not provided to the management device. When receiving activity data from a terminal different from the terminal that was the source of the activity data, there is a possibility that the terminal cannot receive the activity data measured and accumulated after providing the activity data.
　第７の特徴に係る発明によれば、活動データを受信した端末について、所定時間が経過した場合に、活動データの受信を開始及び／又は完了した後に該端末が提供可能となった活動データを受信し得る。したがって、活動データを提供した後に該端末が提供可能となった活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 According to the invention according to the seventh feature, with respect to the terminal that has received the activity data, when the predetermined time elapses, the activity data that can be provided by the terminal after the reception of the activity data is started and / or completed is provided. Can be received. Therefore, after providing the activity data, the activity data that can be provided by the terminal can be received more reliably, and a service based on the activity data can be proposed.
　したがって、第７の特徴に係る発明によれば、患者等からより確実に取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the seventh feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
　第８の特徴に係る発明は、第６又は第７の特徴に係る発明であって、前記活動データ受信部は、前記複数ある前記端末の全てから前記活動データを受信した場合に、前記送信元であった前記端末からの前記活動データの受信を再び可能にする、管理装置を提供する。 The invention according to the eighth feature is the invention according to the sixth or seventh feature, and when the activity data receiving unit receives the activity data from all of the plurality of terminals, the transmission source Provided is a management device that enables the reception of the activity data from the terminal that has been.
　第８の特徴に係る発明によれば、活動データを受信した端末について、複数ある前記端末の全てから前記活動データを受信した場合に、活動データの受信を開始及び／又は完了した後に該端末が提供可能となった活動データを受信し得る。したがって、活動データを開始及び／又は完了した後に該端末が提供可能となった活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 According to the invention according to the eighth feature, when the activity data is received from all of the plurality of terminals of the terminal that has received the activity data, the terminal starts and / or completes the reception of the activity data. You can receive activity data that has become available. Therefore, it is possible to more reliably receive the activity data that can be provided by the terminal after starting and / or completing the activity data, and propose a service based on the activity data.
　したがって、第８の特徴に係る発明によれば、患者等からより確実に取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置を提供できる。 Therefore, according to the invention according to the eighth feature, it is possible to provide a management device capable of proposing a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like.
　第９の特徴に係る発明は、第１の特徴から第８の特徴のいずれかに係る発明であって、前記分析結果が複数あり、これら複数の前記分析結果は、前記活動データ分析部によって生成された日付にそれぞれ関連付けられており、前記管理装置は、前記複数の前記分析結果のそれぞれに対して任意に助言を付与可能な助言付与部と、前記複数の前記分析結果を時系列で表示可能な分析結果時系列情報、及び前記分析結果と前記助言との対応づけである対応情報を前記端末に送信可能な時系列情報送信部と、をさらに備える、管理装置を提供する。 The invention according to the ninth feature is an invention according to any one of the first to eighth features, and there are a plurality of the analysis results, and the plurality of the analysis results are generated by the activity data analysis unit. The management device is associated with each of the dates, and the management device can display the advice giving unit that can arbitrarily give advice to each of the plurality of analysis results and the plurality of analysis results in chronological order. Provided is a management device further provided with time-series information of analysis results and a time-series information transmission unit capable of transmitting correspondence information corresponding to the analysis results and the advice to the terminal.
　第９の特徴に係る発明によれば、医師や、看護師、ケアマネージャー等に例示される、管理装置の利用者は、分析結果に助言を付与できる。時系列情報送信部が分析結果と助言との対応づけである対応情報を端末に送信可能であるため、端末を利用する患者等は、端末が受信した対応情報を介して管理装置の利用者からの助言を取得し得る。したがって、医師等は、分析結果に助言を付与することによって、患者等に助言を与え得る。よって、医師等からの助言を患者等に与えるサービスを提案し得る。 According to the invention according to the ninth feature, the user of the management device, which is exemplified by a doctor, a nurse, a care manager, etc., can give advice to the analysis result. Since the time-series information transmission unit can transmit the correspondence information, which is the correspondence between the analysis result and the advice, to the terminal, the patient who uses the terminal can send the correspondence information received by the terminal from the user of the management device. Can get advice. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
　第９の特徴に係る発明によれば、分析結果の時系列における変化を把握するために役立ち得る分析結果時系列情報を提供するサービスを提案し得る。また、管理装置の利用者からの助言を患者等に与えるサービスを提案し、分析結果時系列情報を提供するサービスを提案した場合、対応情報を用いて時系列で表示された分析結果から、分析結果に対応する助言を取得可能とするサービスをさらに提案し得る。 According to the invention according to the ninth feature, it is possible to propose a service that provides analysis result time series information that can be useful for grasping changes in the analysis result in time series. In addition, when a service that gives advice from users of the management device to patients, etc. is proposed and a service that provides analysis result time series information is proposed, analysis is performed from the analysis results displayed in time series using the corresponding information. We can further propose services that make it possible to obtain advice corresponding to the results.
　したがって、第９の特徴に係る発明によれば、介護施設や医療施設等によって健康状態を管理される患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置及びシステムを提供できる。 Therefore, according to the invention according to the ninth feature, a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
　第１０の特徴に係る発明は、第９の特徴に係る発明の管理装置と、前記端末とを含んで構成され、前記端末は、前記助言付与部によって付与された複数の前記助言を前記管理装置から受信可能な助言受信部と、前記分析結果時系列情報を表示可能な表示部と、前記表示部での表示内容を制御する表示制御部と、を備え、前記表示制御部は、複数の前記助言のうちいずれか１以上の前記助言を指定する指定情報を受信した場合に、前記対応情報に基づき、前記分析結果時系列情報の表示範囲を、前記助言に対応づけられる前記分析結果を含む範囲に制御可能である、管理システムを提供する。 The invention according to the tenth feature includes the management device of the invention according to the ninth feature and the terminal, and the terminal receives a plurality of the advice given by the advice giving unit. The display control unit includes a plurality of advice receiving units that can be received from, a display unit that can display the analysis result time series information, and a display control unit that controls the display contents on the display unit. When the designated information designating the advice is received, the display range of the analysis result time series information is set to the range including the analysis result associated with the advice based on the corresponding information. Provides a controllable management system.
　第１０の特徴に係る発明によれば、表示部に分析結果時系列情報を表示し、端末を利用する患者等がこの表示を用いて分析結果の時系列における変化を把握し得るサービスを提案し得る。 According to the invention according to the tenth feature, a service is proposed in which analysis result time-series information is displayed on a display unit, and a patient or the like using a terminal can grasp the change in the analysis result in time series by using this display. obtain.
　また、第１０の特徴に係る発明によれば、表示部に分析結果時系列情報を表示するサービスを提案した場合に、端末を利用する患者等が複数の助言のうちいずれか１以上を指定したときに、助言に対応付けられる分析結果を含む範囲に分析結果時系列情報の表示範囲を制御して助言に対応付けられた分析結果を含む範囲を表示するサービスを提案し得る。 Further, according to the invention relating to the tenth feature, when proposing a service for displaying analysis result time series information on a display unit, a patient or the like using a terminal specifies any one or more of a plurality of advices. At times, it is possible to propose a service that controls the display range of the analysis result time series information in the range including the analysis result associated with the advice and displays the range including the analysis result associated with the advice.
　したがって、第１０の特徴に係る発明によれば、介護施設や医療施設等によって健康状態を管理される患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置及びシステムを提供できる。 Therefore, according to the invention according to the tenth feature, a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
　第１１の特徴に係る発明は、第１０の特徴に係る発明であって、前記表示部は、前記分析結果時系列情報に含まれる前記分析結果のうち前記対応情報によって前記助言と対応付けられる前記分析結果について、前記対応情報と関連付けられた対応画像を表示可能であり、前記表示制御部は、複数の前記対応画像のうちいずれか１以上の前記対応画像を選択する選択情報を受信した場合に、前記対応画像に関する前記対応情報によって対応付けられる前記助言を表示するよう前記表示部を制御可能である、管理システムを提供する。 The invention according to the eleventh feature is an invention according to the tenth feature, wherein the display unit is associated with the advice by the corresponding information among the analysis results included in the analysis result time series information. Regarding the analysis result, the corresponding image associated with the corresponding information can be displayed, and the display control unit receives the selection information for selecting one or more of the corresponding corresponding images from the plurality of the corresponding images. Provided is a management system capable of controlling the display unit to display the advice associated with the correspondence information regarding the correspondence image.
　第１１の特徴に係る発明によれば、端末を利用する患者等は、対応画像によって分析結果に対応付けられた助言があることを把握し得る。端末を利用する患者等は、１以上の対応画像を選択する選択情報を送信することにより、対応画像に関する対応情報によって対応付けられる助言の表示を指令し、該助言を取得して利用し得る。これにより、端末を利用する患者等が分析結果に対応する助言の有無を把握し得る。また、端末を利用する患者等が分析結果に対応する助言の表示を指令し、該助言を取得して利用し得るサービスを提案し得る。 According to the invention according to the eleventh feature, the patient or the like using the terminal can grasp that there is advice associated with the analysis result by the corresponding image. A patient or the like who uses the terminal can instruct the display of the advice associated with the correspondence information about the correspondence image by transmitting the selection information for selecting one or more correspondence images, and can acquire and use the advice. As a result, the patient or the like using the terminal can grasp the presence or absence of advice corresponding to the analysis result. In addition, a patient or the like using a terminal can instruct the display of advice corresponding to the analysis result, and can propose a service that can acquire and use the advice.
　したがって、第１１の特徴に係る発明によれば、介護施設や医療施設等によって健康状態を管理される患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置及びシステムを提供できる。 Therefore, according to the invention according to the eleventh feature, a management device capable of proposing a service useful for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility or the like. And the system can be provided.
　第１２の特徴に係る発明は、第１の特徴に係る発明のカテゴリ違いである。 The invention according to the twelfth feature is a different category of the invention according to the first feature.
　本発明によれば介護施設や医療施設等によって健康状態を管理される患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置及びシステムを提供できる。 According to the present invention, it is possible to provide a management device and a system capable of proposing useful services for a patient or the like by using activity data or the like acquired from a patient or the like whose health condition is managed by a nursing facility or a medical facility.
図１は、本発明の第１実施形態における健康サービス提供システムの構成例の概要を示す図である。FIG. 1 is a diagram showing an outline of a configuration example of a health service providing system according to the first embodiment of the present invention. 図２は、第１実施形態における管理サーバのユーザ情報記憶部に記憶されているユーザ情報及び活動データの概要を示す図である。FIG. 2 is a diagram showing an outline of user information and activity data stored in the user information storage unit of the management server according to the first embodiment. 図３は、第１実施形態における管理サーバの事業所情報記憶部に記憶されている事業所情報及び分析結果の概要を示す図である。FIG. 3 is a diagram showing an outline of business establishment information and analysis results stored in the business establishment information storage unit of the management server according to the first embodiment. 図４は、第１実施形態における全体処理の概要を示すフローチャートである。FIG. 4 is a flowchart showing an outline of the overall processing in the first embodiment. 図５は、第１実施形態におけるユーザ情報取得処理及びユーザ情報記憶処理の概要を示すフローチャートである。FIG. 5 is a flowchart showing an outline of the user information acquisition process and the user information storage process according to the first embodiment. 図６は、第１実施形態における事業所情報取得処理及び事業所情報記憶処理の概要を示すフローチャートである。FIG. 6 is a flowchart showing an outline of the business establishment information acquisition process and the business establishment information storage process in the first embodiment. 図７は、第１実施形態における計測装置の概要を示す図である。FIG. 7 is a diagram showing an outline of the measuring device according to the first embodiment. 図８は、第１実施形態における計測装置からのデータ取得処理の概要を示すフローチャートである。FIG. 8 is a flowchart showing an outline of the data acquisition process from the measuring device according to the first embodiment. 図９は、第１実施形態における平均数値情報の分析結果等との関係性についての概要を示す図である。FIG. 9 is a diagram showing an outline of the relationship between the analysis result and the like of the average numerical information in the first embodiment. 図１０は、第１実施形態における活動データ分析処理の概要を示すフローチャートである。FIG. 10 is a flowchart showing an outline of the activity data analysis process in the first embodiment. 図１１は、第１実施形態における分析結果画面の概念を示す図である。FIG. 11 is a diagram showing the concept of the analysis result screen in the first embodiment. 図１２は、第１実施形態における分析結果画面生成処理及び分析結果画面記憶処理の概要を示すフローチャートである。FIG. 12 is a flowchart showing an outline of the analysis result screen generation process and the analysis result screen storage process in the first embodiment. 図１３は、第１実施形態における分析結果画面提供処理の構成例の概要を示すフローチャートである。FIG. 13 is a flowchart showing an outline of a configuration example of the analysis result screen providing process in the first embodiment. 図１４は、第１実施形態におけるサービス画面の概要を示す図である。FIG. 14 is a diagram showing an outline of the service screen according to the first embodiment. 図１５は、第１実施形態におけるサービス画面生成処理及びサービス画面記憶処理の概要を示すフローチャートである。FIG. 15 is a flowchart showing an outline of the service screen generation process and the service screen storage process according to the first embodiment. 図１６は、第１実施形態におけるサービス画面提供処理の構成例の概要を示すフローチャートである。FIG. 16 is a flowchart showing an outline of a configuration example of the service screen providing process according to the first embodiment. 図１７は、第１実施形態におけるアラートの概要を示す図である。FIG. 17 is a diagram showing an outline of an alert according to the first embodiment. 図１８は、第１実施形態におけるアラート生成処理の概要を示すフローチャートである。FIG. 18 is a flowchart showing an outline of the alert generation process according to the first embodiment. 図１９は、第１実施形態におけるアラート提供処理の概要を示すフローチャートである。FIG. 19 is a flowchart showing an outline of the alert providing process according to the first embodiment. 図２０は、本発明の第２実施形態に係る管理システム２００１のハードウェア構成及びソフトウェア構成の一例を示すブロック図である。FIG. 20 is a block diagram showing an example of the hardware configuration and software configuration of the management system 2001 according to the second embodiment of the present invention. 図２１は、端末情報テーブル２２２１の一例を示す図である。FIG. 21 is a diagram showing an example of the terminal information table 2221. 図２２は、活動データテーブル２２２２の一例を示す図である。FIG. 22 is a diagram showing an example of the activity data table 2222. 図２３は、基準情報テーブル２２２３の一例を示す図である。FIG. 23 is a diagram showing an example of the reference information table 2223. 図２４は、疾患情報テーブル２２２４の一例を示す図である。FIG. 24 is a diagram showing an example of the disease information table 2224. 図２５は、分析結果テーブル２２２５の一例を示す図である。FIG. 25 is a diagram showing an example of the analysis result table 2225. 図２６は、助言テーブル２２２６の一例を示す図である。FIG. 26 is a diagram showing an example of the advice table 2226. 図２７は、管理装置２００２で実行される健康管理処理の一例を示すメインフローチャートである。FIG. 27 is a main flowchart showing an example of the health management process executed by the management device 2002. 図２８は、管理装置２００２で実行される活動データ受信処理の一例を示すフローチャートである。FIG. 28 is a flowchart showing an example of the activity data reception process executed by the management device 2002. 図２９は、管理装置２００２で実行される活動データ分析処理の一例を示すフローチャートである。FIG. 29 is a flowchart showing an example of the activity data analysis process executed by the management device 2002. 図３０は、管理装置２００２で実行されるサービス画面生成処理の一例を示すフローチャートである。FIG. 30 is a flowchart showing an example of the service screen generation process executed by the management device 2002. 図３１は、表示端末２００４で実行される分析結果時系列情報表示処理の一例を示すフローチャートである。FIG. 31 is a flowchart showing an example of analysis result time series information display processing executed by the display terminal 2004. 図３２は、表示端末２００４の表示部２０４５における表示の一例であり、表示制御部２４１３が複数の助言を表示部２０４５に表示させたときの一例である。FIG. 32 is an example of the display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 displays a plurality of advices on the display unit 2045. 図３３は、図３２から続く表示の一例であり、表示制御部２４１３が分析結果時系列情報を表示部２０４５に表示させたときの一例である。FIG. 33 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the analysis result time series information on the display unit 2045. 図３４は、図３２から続く表示の一例であり、表示制御部２４１３が助言を表示部２０４５に表示させたときの一例である。FIG. 34 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the advice on the display unit 2045.
　以下、本発明を実施するための形態について図を参照しながら説明する。なお、これはあくまでも一例であって、本発明の技術的範囲はこれに限られるものではない。また、実施の形態を説明するための全図において、同一部には原則として同一の符号を付し、その繰り返しの説明は省略する。 Hereinafter, a mode for carrying out the present invention will be described with reference to the drawings. It should be noted that this is only an example, and the technical scope of the present invention is not limited to this. In addition, in all the drawings for explaining the embodiment, the same parts are in principle the same reference numerals, and the repeated description thereof will be omitted.
＜＜第１実施形態＞＞
　以下、本発明の第１の実施形態について説明する。 << First Embodiment >>
Hereinafter, the first embodiment of the present invention will be described.
＜システム構成＞
　図１は、本発明の第１実施形態における健康サービス提供システムの構成例の概要を示す図である。 <System configuration>
FIG. 1 is a diagram showing an outline of a configuration example of a health service providing system according to the first embodiment of the present invention.
　図１に示されるように、健康サービス提供システムは、計測装置１００と、計測装置１００と接続されるユーザ端末１１０と、ユーザ端末１１０とネットワークを介して有線通信及び／又は無線通信によって接続される管理サーバ１２０とを有する。必須の態様ではないが、健康サービス提供システムは、ビッグデータ記憶部１３５及び／又は事業所端末１９０をさらに有することが好ましい。ビッグデータ記憶部１３５及び／又は事業所端末１９０は、管理サーバ１２０とネットワークを介して接続可能に構成されることが好ましい。以下、健康サービス提供システムは、計測装置１００と、ユーザ端末１１０と、管理サーバ１２０と、ビッグデータ記憶部１３５と、事業所端末１９０とを有するものとして説明する。 As shown in FIG. 1, the health service providing system is connected to the measuring device 100, the user terminal 110 connected to the measuring device 100, and the user terminal 110 via a network by wired communication and / or wireless communication. It has a management server 120. Although not an essential aspect, the health service providing system preferably further includes a big data storage unit 135 and / or a business terminal 190. It is preferable that the big data storage unit 135 and / or the business office terminal 190 is configured to be connectable to the management server 120 via a network. Hereinafter, the health service providing system will be described as having a measuring device 100, a user terminal 110, a management server 120, a big data storage unit 135, and a business office terminal 190.
　ユーザ端末１１０は、計測装置１００と接続可能な端末であれば、特に限定されず、スマートフォン、タブレット端末、及びノート型パソコン等によって例示される従来技術の端末でよい。 The user terminal 110 is not particularly limited as long as it can be connected to the measuring device 100, and may be a terminal of the prior art exemplified by a smartphone, a tablet terminal, a notebook personal computer, or the like.
　すなわち、管理サーバ１２０は、ユーザ端末１１０等とネットワークを介して接続される。また、計測装置１００は、ユーザ端末１１０と有線通信及び／又は無線通信によって接続される。 That is, the management server 120 is connected to the user terminal 110 and the like via the network. Further, the measuring device 100 is connected to the user terminal 110 by wired communication and / or wireless communication.
　管理サーバ１２０は、ユーザ情報記憶部１３０と、事業所情報記憶部１３１と、分析結果記憶部１３２と、分析結果画面記憶部１３３と、サービス画面記憶部１３４と、活動データ分析部１４０と、分析結果画面生成部１５０と、分析結果画面提供部１６０と、サービス画面生成部１７０と、サービス画面提供部１８０と、アラート生成部１８１と、アラート提供部１８２と、を有する。 The management server 120 analyzes the user information storage unit 130, the business office information storage unit 131, the analysis result storage unit 132, the analysis result screen storage unit 133, the service screen storage unit 134, the activity data analysis unit 140, and the analysis. It has a result screen generation unit 150, an analysis result screen providing unit 160, a service screen generating unit 170, a service screen providing unit 180, an alert generating unit 181 and an alert providing unit 182.
　ユーザ情報記憶部１３０には、ユーザ情報２００（後述、図２）が記憶されている。事業所情報記憶部１３１には、事業所情報３００（後述、図３）が記憶されている。分析結果記憶部１３２には、分析結果３１０（後述、図３）が記憶されている。なお、事業所情報記憶部１３１は、分析結果記憶部１３２と同一のデータベースとしてもよい。 User information 200 (described later, FIG. 2) is stored in the user information storage unit 130. The business establishment information storage unit 131 stores business establishment information 300 (described later, FIG. 3). The analysis result storage unit 132 stores the analysis result 310 (described later, FIG. 3). The business establishment information storage unit 131 may be the same database as the analysis result storage unit 132.
　分析結果画面記憶部１３３には、分析結果画面１１００（後述、図１１）が記憶されている。サービス画面記憶部１３４には、サービス画面１４００（後述、図１２）が記憶されている。ビッグデータ記憶部１３５は、後述する平均数値情報９００を抽出可能に構成されている。ビッグデータ記憶部１３５は、平均数値情報９００を抽出可能な記憶装置等であれば特に限定されず、ハードディスク、半導体メモリ、ＮＡＳ（Ｎｅｔｗｏｒｋ　Ａｔｔａｃｈｅｄ　Ｓｔｏｒａｇｅ）、ＳＡＮ（Ｓｔｏｒａｇｅ　Ａｒｅａ　Ｎｅｔｗｏｒｋ）、ファイルサーバ、及びクラウドストレージ等によって例示される各種の記憶装置及び／又は記憶システムでよい。ビッグデータ記憶部１３５は、管理サーバ１２０と別体に構成されていてもよく、管理サーバ１２０と一体に構成されていてもよい。以下、ビッグデータ記憶部１３５は、管理サーバ１２０と別体に構成されているものとして説明する。 The analysis result screen storage unit 133 stores the analysis result screen 1100 (described later, FIG. 11). The service screen 1400 (described later, FIG. 12) is stored in the service screen storage unit 134. The big data storage unit 135 is configured to be able to extract the average numerical information 900 described later. The big data storage unit 135 is not particularly limited as long as it is a storage device or the like capable of extracting average numerical information 900, and is a hard disk, a semiconductor memory, a NAS (Network Attached Storage), a SAN (Storage Area Network), a file server, and a cloud. Various storage devices and / or storage systems exemplified by storage and the like may be used. The big data storage unit 135 may be configured separately from the management server 120, or may be configured integrally with the management server 120. Hereinafter, the big data storage unit 135 will be described as being configured separately from the management server 120.
　活動データ分析部１４０は、通信部１０２とセンサ部１０３とを有する計測装置１００と接続されたユーザ端末１１０から活動データ２１０を含むユーザ情報２００を取得し、記憶する。必須の態様ではないが、ユーザ端末１１０は、表示部１０１及び／又は撮像部１０４をさらに有してもよい。以下、ユーザ端末１１０は、表示部１０１と、通信部１０２と、センサ部１０３と、撮像部１０４とを有するものとして説明する。 The activity data analysis unit 140 acquires and stores the user information 200 including the activity data 210 from the user terminal 110 connected to the measuring device 100 having the communication unit 102 and the sensor unit 103. Although not an essential aspect, the user terminal 110 may further include a display unit 101 and / or an imaging unit 104. Hereinafter, the user terminal 110 will be described as having a display unit 101, a communication unit 102, a sensor unit 103, and an imaging unit 104.
　また、活動データ分析部１４０は、ユーザ情報記憶部１３０に記憶されているユーザ情報２００及び活動データ２１０と、ビッグデータ記憶部１３５に記憶されている平均数値情報９００とに基づいて、活動データ２１０の各項目に対応する結果項目４００ごとに評価４１０を算出する。 Further, the activity data analysis unit 140 is based on the user information 200 and the activity data 210 stored in the user information storage unit 130 and the average numerical information 900 stored in the big data storage unit 135, and the activity data 210 The evaluation 410 is calculated for each result item 400 corresponding to each item of.
　また、活動データ分析部１４０は、算出した評価４１０に基づいて分析結果３１０を生成する。なお、平均数値情報９００及び評価４１０の詳細は後述する。 Further, the activity data analysis unit 140 generates an analysis result 310 based on the calculated evaluation 410. The details of the average numerical information 900 and the evaluation 410 will be described later.
　分析結果画面生成部１５０は、生成された分析結果３１０に基づいて分析結果画面１１００（後述、図１１）を生成する。 The analysis result screen generation unit 150 generates an analysis result screen 1100 (described later, FIG. 11) based on the generated analysis result 310.
　分析結果画面提供部１６０は、生成された分析結果画面１１００をユーザ端末１１０及び事業所端末１９０に提供する。 The analysis result screen providing unit 160 provides the generated analysis result screen 1100 to the user terminal 110 and the business office terminal 190.
　サービス画面生成部１７０は、評価４１０が所定数値未満である結果項目４００が存在し、且つ、レベル５１０が第一の数値以上であるサービス生成用項目５００が存在する場合に、分析結果３１０に基づいてサービス画面１４００を生成する。なお、第一の数値は、例えば、「２」とできる。 The service screen generation unit 170 is based on the analysis result 310 when there is a result item 400 whose evaluation 410 is less than a predetermined numerical value and there is a service generation item 500 whose level 510 is equal to or higher than the first numerical value. To generate the service screen 1400. The first numerical value can be, for example, "2".
　サービス画面提供部１８０は、サービス画面生成部１７０がサービス画面１４００を生成した場合に、生成したサービス画面１４００をユーザ端末１１０及び事業所端末１９０に提供する。 When the service screen generation unit 170 generates the service screen 1400, the service screen providing unit 180 provides the generated service screen 1400 to the user terminal 110 and the business office terminal 190.
　アラート生成部１８１は、サービス生成用項目５００のうちレベル５１０が第一の数値より大きい第二の数値であるサービス生成用項目５００が存在する場合に、生成された分析結果３１０に基づいてアラート１７００を生成する。なお、第二の数値は、例えば「５」とする。 The alert generation unit 181 alerts 1700 based on the analysis result 310 generated when there is a service generation item 500 whose level 510 is a second numerical value larger than the first numerical value among the service generation items 500. To generate. The second numerical value is, for example, "5".
　アラート提供部１８２は、アラート生成部１８１がアラート１７００を生成した場合に、生成したアラート１７００を事業所端末１９０及びユーザ端末１１０に提供する。 When the alert generation unit 181 generates the alert 1700, the alert providing unit 182 provides the generated alert 1700 to the business office terminal 190 and the user terminal 110.
＜ユーザ情報記憶部＞
　図２は、第１実施形態における管理サーバのユーザ情報記憶部に記憶されているユーザ情報及び活動データの概要を示す図である。図２（ａ）は、第１実施形態における管理サーバ１２０のユーザ情報記憶部１３０に記憶されているユーザ情報２００の構成例の概要を示す図である。 <User information storage unit>
FIG. 2 is a diagram showing an outline of user information and activity data stored in the user information storage unit of the management server according to the first embodiment. FIG. 2A is a diagram showing an outline of a configuration example of user information 200 stored in the user information storage unit 130 of the management server 120 in the first embodiment.
　図２（ａ）に示されるように、ユーザ情報２００は、ユーザＩＤと、氏名と、連絡先と、計測装置ＩＤと、活動データ２１０等のデータ項目により構成される。 As shown in FIG. 2A, the user information 200 is composed of data items such as a user ID, a name, a contact, a measuring device ID, and activity data 210.
　ユーザＩＤは、管理サーバ１２０が、ユーザを識別するための符号を示す。氏名は、ユーザの氏名を示す。連絡先は、ユーザの連絡先を示す。活動データ２１０は、ユーザ端末１１０が計測装置１００から受信することで取得するデータの内容を示す（詳細は後述する）。 The user ID indicates a code for the management server 120 to identify the user. The name indicates the user's name. The contact indicates the contact of the user. The activity data 210 indicates the content of the data acquired by the user terminal 110 receiving from the measuring device 100 (details will be described later).
　図２（ｂ）は、第１実施形態における管理サーバ１２０のユーザ情報記憶部１３０に記憶されているユーザ情報２００に含まれる活動データ２１０の構成例の概要を示す図である。活動データ２１０は、取得日、基本データ、血圧、心拍数、血糖値、歩数、食事画像等の情報を示す。 FIG. 2B is a diagram showing an outline of a configuration example of activity data 210 included in the user information 200 stored in the user information storage unit 130 of the management server 120 in the first embodiment. The activity data 210 indicates information such as acquisition date, basic data, blood pressure, heart rate, blood glucose level, number of steps, and meal image.
　「取得日」は、管理サーバ１２０が、ユーザから活動データ２１０の入力を受け付けた日を示す。 The "acquisition date" indicates the date when the management server 120 receives the input of the activity data 210 from the user.
　「基本データ」は、ユーザ端末１１０がユーザから受け付けたユーザの年齢や身長、体重等の情報を示す。基本データを取得することにより、管理サーバ１２０は、後述する活動データ分析処理におけるビッグデータ記憶部１３５から平均数値情報９００を抽出する際の基準とすることができる。 The "basic data" indicates information such as the age, height, and weight of the user received from the user by the user terminal 110. By acquiring the basic data, the management server 120 can be used as a reference when extracting the average numerical information 900 from the big data storage unit 135 in the activity data analysis process described later.
　また、基本データを取得し活動データ分析処理を行うことにより、管理サーバ１２０は、分析結果３１０の結果項目４００に含まれる「体脂肪率」等の評価４１０の算出と、「罹患リスク」、「疾患進行度」のレベル５１０の算出を行うことができる。 Further, by acquiring the basic data and performing the activity data analysis process, the management server 120 calculates the evaluation 410 such as the "body fat percentage" included in the result item 400 of the analysis result 310, and the "morbidity risk" and "morbidity risk". The level 510 of "disease progression" can be calculated.
　「血圧」は、ユーザ端末１１０が計測装置１００から受け付けたユーザの最高血圧や最低血圧等の情報を示す。血圧を取得し、後述する活動データ分析処理を行うことにより、管理サーバ１２０は、分析結果３１０の結果項目４００に含まれる、「ストレス度」等の評価４１０の算出と、「罹患リスク」、「疾患進行度」のレベル５１０の算出を行うことができる。 "Blood pressure" indicates information such as the user's systolic blood pressure and diastolic blood pressure received from the measuring device 100 by the user terminal 110. By acquiring the blood pressure and performing the activity data analysis processing described later, the management server 120 calculates the evaluation 410 such as "stress degree" included in the result item 400 of the analysis result 310, and "risk of illness" and " The level 510 of "disease progression" can be calculated.
　「心拍数」は、ユーザ端末１１０が計測装置１００から受け付けたユーザの心拍数の情報を示す。心拍数を取得し、後述する活動データ分析処理を行うことにより、管理サーバ１２０は、分析結果３１０の結果項目４００に含まれる、「ストレス度」等の評価４１０の算出と、「罹患リスク」、「疾患進行度」のレベル５１０の算出を行うことができる。 "Heart rate" indicates the information of the user's heart rate received from the measuring device 100 by the user terminal 110. By acquiring the heart rate and performing the activity data analysis processing described later, the management server 120 calculates the evaluation 410 such as "stress degree" included in the result item 400 of the analysis result 310, and "risk of illness". The level 510 of "disease progression" can be calculated.
　「歩数」は、ユーザ端末１１０が計測装置１００から受け付けたユーザの歩数の情報を示す。歩数を取得し、後述する活動データ分析処理を行うことにより、管理サーバ１２０は、分析結果３１０の結果項目４００に含まれる、「カロリー消費度」等の評価４１０の算出と、「罹患リスク」、「疾患進行度」のレベル５１０の算出を行うことができる。 The "step count" indicates information on the number of steps of the user received from the measuring device 100 by the user terminal 110. By acquiring the number of steps and performing the activity data analysis processing described later, the management server 120 calculates the evaluation 410 such as "calorie consumption" included in the result item 400 of the analysis result 310, and "risk of illness". The level 510 of "disease progression" can be calculated.
　「食事画像」は、ユーザ端末１１０が計測装置１００から受け付けた食事の画像情報を示す。食事画像を取得し、後述する活動データ分析処理を行うことにより、管理サーバ１２０は、分析結果３１０の結果項目４００に含まれる、「カロリー消費度」等の評価４１０の算出と、「罹患リスク」、「疾患進行度」のレベル５１０の算出を行うことができる。 The "meal image" indicates the image information of the meal received by the user terminal 110 from the measuring device 100. By acquiring the meal image and performing the activity data analysis processing described later, the management server 120 calculates the evaluation 410 such as "calorie consumption" included in the result item 400 of the analysis result 310, and "risk of illness". , The level 510 of "disease progression" can be calculated.
　なお、食事画像は、計測装置１００が有する撮像部１０４又はユーザ端末１１０によって撮影された、ユーザが摂取する食事の内容を表す。管理サーバ１２０は、食事画像に映る食材の種類や容量等を周知手段である画像解析処理により判定し、ユーザが摂取したカロリーや糖分、脂肪量等を算出する。 The meal image represents the content of the meal ingested by the user, which is taken by the imaging unit 104 of the measuring device 100 or the user terminal 110. The management server 120 determines the type and capacity of the foodstuff shown in the meal image by an image analysis process which is a well-known means, and calculates the calorie, sugar content, fat amount and the like ingested by the user.
＜事業所情報記憶部＞
　図３は、第１実施形態における管理サーバの事業所情報記憶部に記憶されている事業所情報及び分析結果の概要を示す図である。図３（ａ）は、第１実施形態における管理サーバ１２０の事業所情報記憶部１３１に記憶されている事業所情報３００の構成例の概要を示す図である。 <Business Information Storage Department>
FIG. 3 is a diagram showing an outline of business establishment information and analysis results stored in the business establishment information storage unit of the management server according to the first embodiment. FIG. 3A is a diagram showing an outline of a configuration example of the business establishment information 300 stored in the business establishment information storage unit 131 of the management server 120 in the first embodiment.
　図３（ａ）に示されるように、事業所情報３００は、事業所ＩＤと、事業所名と、連絡先と、所属ユーザＩＤと、分析結果３１０等のデータ項目により構成される。 As shown in FIG. 3A, the business establishment information 300 is composed of a business establishment ID, a business establishment name, contact information, an affiliated user ID, and data items such as an analysis result 310.
　事業所ＩＤは、管理サーバ１２０が、事業所を識別するための符号を示す。事業所名は、事業所の名称を示す。所属ユーザＩＤは、事業所に例えば、会員登録等によって所属しているユーザのユーザＩＤを示す。分析結果３１０は、活動データ分析部１４０によって生成されるデータの内容を示す（詳細は後述する）。 The business establishment ID indicates a code for the management server 120 to identify the business establishment. The business establishment name indicates the name of the business establishment. The affiliation user ID indicates the user ID of the user who belongs to the business establishment by, for example, membership registration. The analysis result 310 indicates the content of the data generated by the activity data analysis unit 140 (details will be described later).
　図３（ｂ）は、第１実施形態における管理サーバ１２０の事業所情報記憶部１３１に記憶されている事業所情報３００に含まれる分析結果３１０の構成例の概要を示す図である。分析結果３１０は、結果項目４００及びサービス生成用項目５００から構成される。 FIG. 3B is a diagram showing an outline of a configuration example of the analysis result 310 included in the business establishment information 300 stored in the business establishment information storage unit 131 of the management server 120 in the first embodiment. The analysis result 310 is composed of a result item 400 and a service generation item 500.
　結果項目４００は、生成日、体脂肪率、ストレス度、カロリー消費度、等を含む。また、結果項目４００の各項目は、算出された評価４１０の数値を有する。評価４１０は、例えば０から１００までの数値で示され、「１００」が最も優良であるとする。すなわち、評価４１０は、その数値が大きいほどユーザの健康状態が優良であることを示す。 Result item 400 includes the date of production, body fat percentage, stress level, calorie consumption level, and the like. In addition, each item of the result item 400 has the calculated numerical value of the evaluation 410. The evaluation 410 is indicated by a numerical value from 0 to 100, for example, and "100" is assumed to be the best. That is, the evaluation 410 indicates that the larger the value, the better the user's health condition.
　サービス生成用項目５００は、罹患リスク、疾患進行度を含む。また、サービス生成用項目５００の各項目は、算出されたレベル５１０の数値を有する。レベル５１０は、例えば１から５までの数値で示され、「１」が最も優良であるとする。すなわち、レベル５１０は、その数値が小さいほどユーザの健康状態が優良であることを示す。 Item 500 for service generation includes morbidity risk and disease progression. Further, each item of the service generation item 500 has a calculated level 510 numerical value. Level 510 is represented by a numerical value from 1 to 5, for example, and "1" is assumed to be the best. That is, at level 510, the smaller the value, the better the user's health condition.
　サービス生成用項目５００のレベル５１０は、結果項目４００の各項目についての評価４１０に基づいて算出される。例えば、結果項目４００の「体脂肪率、ストレス度、カロリー消費度」についての評価４１０が「８０、８０、８０」の場合、サービス生成用項目５００の「罹患リスク、疾患進行度」のレベル５１０は、「１、１」のように示される。 The level 510 of the service generation item 500 is calculated based on the evaluation 410 for each item of the result item 400. For example, when the evaluation 410 for the "body fat percentage, stress degree, calorie consumption degree" of the result item 400 is "80, 80, 80", the level 510 of the "morbidity risk, disease progression degree" of the service generation item 500. Is indicated as "1, 1".
　また、レベル５１０は、後述する処理において取得データ分析部１４０がサービス画面１４００を提供するか否かを判定する際の基準となる。さらに、レベル５１０は、提案サービスメニューの内容が決定される際の基準となる。 Further, the level 510 serves as a reference when determining whether or not the acquired data analysis unit 140 provides the service screen 1400 in the processing described later. Further, level 510 serves as a reference when the content of the proposed service menu is determined.
　提案サービスメニューは、ユーザの健康問題改善を勧めるための提案サービスの内容を示す。提案サービスメニューは、事業所端末１９０及びユーザ端末１１０に提供されるサービス画面１４００（詳細は後述する）に表示される。 The proposal service menu shows the contents of the proposal service for recommending improvement of the user's health problem. The proposed service menu is displayed on the service screen 1400 (details will be described later) provided to the business office terminal 190 and the user terminal 110.
　また、提案サービスメニューは、サービス生成用項目５００の種類及びサービス生成用項目５００のレベル５１０の数値の大きさに応じて決定される。 Further, the proposed service menu is determined according to the type of the service generation item 500 and the size of the numerical value of the level 510 of the service generation item 500.
　例えば、サービス生成用項目５００のうち「疾患進行度」のレベル５１０の数値が「３」の場合、提案サービスメニューは、「訪問看護」や「見守りサービス」という内容で決定される。あるいは、サービス生成用項目５００のうち「罹患リスク」のレベル５１０の数値が「２」の場合、提案サービスメニューは、「オンライン問診」や「薬配達」という内容で決定される。 For example, when the numerical value of level 510 of "disease progression" among the service generation items 500 is "3", the proposed service menu is determined by the contents of "home-visit nursing care" and "watching service". Alternatively, when the numerical value of the level 510 of the "morbidity risk" among the service generation items 500 is "2", the proposed service menu is determined by the contents of "online interview" and "drug delivery".
　上記の他、提案サービスメニューは、ＡＩ問診、リハビリ、鍼灸、食事配達、マッサージ、ＡＩ食事管理、レシピ提供、往診、アラート送信、救急診療等を含む。これらがレベル５１０の大きさとどのように相関して決定されるかは、周知の医療知識及び汎用情報等により任意に設定できる。 In addition to the above, the proposed service menu includes AI interview, rehabilitation, acupuncture and moxibustion, meal delivery, massage, AI meal management, recipe provision, home visit, alert transmission, emergency medical care, etc. How these are determined in correlation with the magnitude of level 510 can be arbitrarily set by well-known medical knowledge, general-purpose information, and the like.
　なお、上記提案サービスメニューのうち「アラート送信」については、レベル５１０の数値が第二の数値（例えば「５」）の場合にのみ、後述する処理により提供される。 Note that the "alert transmission" in the above proposed service menu is provided by the process described later only when the numerical value of level 510 is the second numerical value (for example, "5").
　また、「見守りサービス」については、サービス生成用項目５００の種類及びサービス生成用項目５００のレベル５１０の数値の大きさに応じることなく、常に提供されるサービスとしても良い。 Further, the "watching service" may be a service that is always provided regardless of the type of the service generation item 500 and the magnitude of the level 510 value of the service generation item 500.
　「生成日」は、管理サーバ１２０が、分析結果３１０を生成した日を示す。 The "generation date" indicates the date on which the management server 120 generated the analysis result 310.
　「体脂肪率」は、後述する活動データ分析処理を行うことにより算出されたユーザの体脂肪率についての評価を示す。具体的には、評価４１０の数値によって示される。 "Body fat percentage" indicates an evaluation of the user's body fat percentage calculated by performing the activity data analysis process described later. Specifically, it is indicated by the numerical value of the evaluation 410.
　「ストレス度」は、後述する活動データ分析処理を行うことにより算出されたユーザのストレスについての評価を示す。具体的には、評価４１０の数値によって示される。 "Stress degree" indicates an evaluation of user stress calculated by performing activity data analysis processing described later. Specifically, it is indicated by the numerical value of the evaluation 410.
　「カロリー消費度」は、後述する活動データ分析処理を行うことにより算出されたユーザのカロリー消費についての評価を示す。具体的には、評価４１０の数値によって示される。 "Calorie consumption" indicates the evaluation of the user's calorie consumption calculated by performing the activity data analysis processing described later. Specifically, it is indicated by the numerical value of the evaluation 410.
　「罹患リスク」は、ユーザが新しい病気等に罹患しているリスクについてのレベルを示す。具体的には、罹患リスクはレベル５１０の数値によって示される。 "Attack risk" indicates the level of risk that the user is suffering from a new disease or the like. Specifically, the risk of morbidity is indicated by a level 510 number.
　罹患リスクは、結果項目４００の種類、及びその評価４１０の数値、またユーザの基本データとの組み合わせ、及び過去の活動データ２１０からの経緯等によって人工知能（ＡＩ）により自動的に判定される。 The morbidity risk is automatically determined by artificial intelligence (AI) based on the types of result items 400, the numerical values of the evaluation 410, the combination with the user's basic data, the history from the past activity data 210, and the like.
　例えば、算出された結果項目４００の「体脂肪率、ストレス度」の評価４１０が「３０、２０」の場合、ユーザが新しい病気等を罹患した可能性があると判定され、罹患リスクは、そのレベル５１０が「２」等と判定される。 For example, when the evaluation 410 of the "body fat percentage, stress degree" of the calculated result item 400 is "30, 20", it is determined that the user may have a new disease or the like, and the risk of morbidity is that. Level 510 is determined to be "2" or the like.
　「疾患進行度」は、ユーザが有している疾患の進行度についてのレベルを示す。具体的には、疾患進行度はレベル５１０の数値によって示される。 "Disease progression" indicates the level of disease progression that the user has. Specifically, the degree of disease progression is indicated by a numerical value of level 510.
　疾患進行度は、結果項目４００の種類、及びその評価４１０の数値、またユーザの基本データとの組み合わせ、及び過去の活動データ２１０からの経緯等によって人工知能（ＡＩ）により自動的に判定される。 The disease progression is automatically determined by artificial intelligence (AI) based on the types of result items 400, the numerical values of the evaluation 410, the combination with the user's basic data, the history from the past activity data 210, and the like. ..
　例えば、算出された結果項目４００の「２０年１月２５日の体脂肪率」の評価４１０が「８０」から、「２０年２月２５日の体脂肪率」の評価４１０が「５０」へと減少した場合、ユーザの疾患が少し進行したと判定され、疾患進行度は、そのレベル５１０が「２」等と判定される。 For example, the evaluation 410 of the calculated result item 400 "body fat percentage on January 25, 2008" is changed from "80" to the evaluation 410 of "body fat percentage on February 25, 2008" is changed to "50". When it decreases, it is determined that the user's disease has progressed a little, and the disease progression level 510 is determined to be "2" or the like.
＜全体処理＞
　図４は、第１実施形態における全体処理の概要を示すフローチャートである。 <Overall processing>
FIG. 4 is a flowchart showing an outline of the overall processing in the first embodiment.
　まず、Ｓ４０１にて、管理サーバ１２０はユーザ情報取得処理及びユーザ情報記憶処理（図５で後述する）を行う。 First, in S401, the management server 120 performs user information acquisition processing and user information storage processing (described later in FIG. 5).
　次に、Ｓ４０２にて、管理サーバ１２０は事業所情報取得処理及び事業所情報記憶処理（図６で後述する）を行う。 Next, in S402, the management server 120 performs a business establishment information acquisition process and a business establishment information storage process (described later in FIG. 6).
　次に、Ｓ４０３にて、管理サーバ１２０は活動データ分析処理（図９、図１０で後述する）を行う。 Next, in S403, the management server 120 performs activity data analysis processing (described later in FIGS. 9 and 10).
　次に、Ｓ４０４にて、管理サーバ１２０は分析結果画面生成処理及び分析結果画面記憶処理（図１１、図１２で後述する）を行う。 Next, in S404, the management server 120 performs an analysis result screen generation process and an analysis result screen storage process (described later in FIGS. 11 and 12).
　次に、Ｓ４０５にて、管理サーバ１２０は分析結果画面提供処理（図１３で後述する）を行う。 Next, in S405, the management server 120 performs an analysis result screen providing process (described later in FIG. 13).
　次に、ユーザがサービス画面を生成すると判定した場合、Ｓ４０６にて、管理サーバ１２０はサービス画面生成処理及びサービス画面記憶処理（図１４、図１５で後述する）を行う。 Next, when it is determined that the user generates a service screen, the management server 120 performs a service screen generation process and a service screen storage process (described later in FIGS. 14 and 15) in S406.
　次に、Ｓ４０７にて、管理サーバ１２０はサービス画面提供処理（図１６で後述する）を行う。 Next, in S407, the management server 120 performs a service screen provision process (described later in FIG. 16).
　次に、ユーザがアラートを生成すると判定した場合、Ｓ４０８にて、管理サーバ１２０はアラート生成処理及びアラート提供処理（図１７～図１９で後述する）を行う。 Next, when it is determined that the user generates an alert, the management server 120 performs an alert generation process and an alert provision process (described later in FIGS. 17 to 19) in S408.
＜ユーザ情報記憶処理＞
　図５は、第１実施形態におけるユーザ情報取得処理及びユーザ情報記憶処理の概要を示すフローチャートである。図５（ａ）は、第１実施形態におけるユーザ情報記憶処理の概要を示すフローチャートである。以下、管理サーバ１２０が、ユーザ情報２００を記憶する方法について説明する。 <User information storage processing>
FIG. 5 is a flowchart showing an outline of the user information acquisition process and the user information storage process according to the first embodiment. FIG. 5A is a flowchart showing an outline of the user information storage process according to the first embodiment. Hereinafter, a method in which the management server 120 stores the user information 200 will be described.
　まず、Ｓ５０１にて、管理サーバ１２０は、ユーザ情報入力画面をユーザ端末１１０に提供する。次に、Ｓ５０２にて、ユーザ端末１１０は、ユーザ情報入力画面をディスプレイに表示させる。 First, in S501, the management server 120 provides the user information input screen to the user terminal 110. Next, in S502, the user terminal 110 displays the user information input screen on the display.
　その後、ユーザが本発明に係るシステムを初めて利用する場合、Ｓ５０３にて、ユーザ端末１１０はユーザ情報２００の入力をユーザから受け付ける。次に、Ｓ５０４にて、ユーザ端末１１０は、Ｓ５０３で入力を受け付けたユーザ情報２００を管理サーバ１２０に送信する。 After that, when the user uses the system according to the present invention for the first time, the user terminal 110 receives the input of the user information 200 from the user in S503. Next, in S504, the user terminal 110 transmits the user information 200 that has received the input in S503 to the management server 120.
　次に、Ｓ５０５にて、管理サーバ１２０は、Ｓ５０４で送信されたユーザ情報２００を受信することにより、ユーザ情報２００を取得する。次に、Ｓ５０６にて、管理サーバ１２０は、受信したユーザ情報２００にユーザＩＤを付して、Ｓ５０３にて入力を受け付けたユーザ情報２００をユーザ情報記憶部１３０に記憶する。 Next, in S505, the management server 120 acquires the user information 200 by receiving the user information 200 transmitted in S504. Next, in S506, the management server 120 attaches a user ID to the received user information 200, and stores the user information 200 received for input in S503 in the user information storage unit 130.
＜ユーザ情報取得処理＞
　図５（ｂ）は、第１実施形態におけるユーザ情報取得処理の概要を示すフローチャートである。以下、管理サーバ１２０が、ユーザ情報２００を取得する方法について説明する。 <User information acquisition process>
FIG. 5B is a flowchart showing an outline of the user information acquisition process according to the first embodiment. Hereinafter, a method in which the management server 120 acquires the user information 200 will be described.
　ユーザが本発明に係るシステムを２回目以降利用する場合、Ｓ５０７にて、ユーザ端末１１０はユーザＩＤの入力をユーザから受け付ける。なお、ユーザＩＤは、ユーザ情報２００に含まれる。 When the user uses the system according to the present invention for the second time or later, in S507, the user terminal 110 accepts the input of the user ID from the user. The user ID is included in the user information 200.
　次に、Ｓ５０８にて、ユーザ端末１１０は、Ｓ５０７で入力を受け付けたユーザＩＤを管理サーバ１２０に送信する。 Next, in S508, the user terminal 110 transmits the user ID that received the input in S507 to the management server 120.
　その後、Ｓ５０９にて、管理サーバ１２０は、Ｓ５０８で送信されたユーザＩＤのキーに対応するユーザ情報２００をユーザ情報記憶部１３０から取得する。 After that, in S509, the management server 120 acquires the user information 200 corresponding to the key of the user ID transmitted in S508 from the user information storage unit 130.
＜事業所情報記憶処理＞
　図６は、第１実施形態における事業所情報取得処理及び事業所情報記憶処理の概要を示す図である。図６（ａ）は、第１実施形態における事業所情報記憶処理の概要を示す図である。以下、管理サーバ１２０が、事業所情報３００を記憶する方法について説明する。 <Business office information memory processing>
FIG. 6 is a diagram showing an outline of the business establishment information acquisition process and the business establishment information storage process in the first embodiment. FIG. 6A is a diagram showing an outline of the business establishment information storage process according to the first embodiment. Hereinafter, a method in which the management server 120 stores the business establishment information 300 will be described.
　まず、Ｓ６０１にて、管理サーバ１２０は、事業所情報入力画面を事業所端末１９０に提供する。次に、Ｓ６０２にて、事業所端末１９０は、事業所情報入力画面をディスプレイに表示させる。 First, in S601, the management server 120 provides the business establishment information input screen to the business establishment terminal 190. Next, in S602, the business establishment terminal 190 displays the business establishment information input screen on the display.
　その後、事業所が本発明に係るシステムを初めて利用する場合、Ｓ６０３にて、事業所端末１９０は事業所情報３００の入力を事業所から受け付ける。次に、Ｓ６０４にて、事業所端末１９０は、Ｓ６０３で入力を受け付けた事業所情報３００を管理サーバ１２０に送信する。 After that, when the business establishment uses the system according to the present invention for the first time, the business establishment terminal 190 accepts the input of the business establishment information 300 from the business establishment in S603. Next, in S604, the business establishment terminal 190 transmits the business establishment information 300 that has received the input in S603 to the management server 120.
　次に、Ｓ６０５にて、管理サーバ１２０は、Ｓ６０４で送信された事業所情報３００を受信することにより、事業所情報３００を取得する。次に、Ｓ６０６にて、管理サーバ１２０は、受信した事業所情報３００に事業所ＩＤを付して、Ｓ６０３にて入力を受け付けた事業所情報３００を事業所情報記憶部１３１に記憶する。 Next, in S605, the management server 120 acquires the business establishment information 300 by receiving the business establishment information 300 transmitted in S604. Next, in S606, the management server 120 attaches a business establishment ID to the received business establishment information 300, and stores the business establishment information 300 received for input in S603 in the business establishment information storage unit 131.
＜事業所情報取得処理＞
　図６（ｂ）は、第１実施形態における事業所情報取得処理の概要を示すフローチャートである。以下、管理サーバ１２０が、事業所情報３００を取得する方法について説明する。 <Business office information acquisition processing>
FIG. 6B is a flowchart showing an outline of the business establishment information acquisition process in the first embodiment. Hereinafter, a method in which the management server 120 acquires the business establishment information 300 will be described.
　事業所が本発明に係るシステムを２回目以降利用する場合、Ｓ６０７にて、事業所端末１９０は事業所ＩＤの入力を事業所から受け付ける。なお、事業所ＩＤは、事業所情報３００に含まれる。 When the business establishment uses the system according to the present invention for the second time or later, the business establishment terminal 190 accepts the input of the business establishment ID from the business establishment in S607. The establishment ID is included in the establishment information 300.
　次に、Ｓ６０８にて、事業所端末１９０は、Ｓ６０７で入力を受け付けた事業所ＩＤを管理サーバ１２０に送信する。 Next, in S608, the business establishment terminal 190 transmits the business establishment ID that received the input in S607 to the management server 120.
　その後、Ｓ６０９にて、管理サーバ１２０は、Ｓ６０８で送信された事業所ＩＤのキーに対応する事業所情報３００を事業所情報記憶部１３１から取得する。 After that, in S609, the management server 120 acquires the business establishment information 300 corresponding to the business establishment ID key transmitted in S608 from the business establishment information storage unit 131.
＜計測装置＞
　図７は、第１実施形態における計測装置１００の概要を示す図である。 <Measuring device>
FIG. 7 is a diagram showing an outline of the measuring device 100 according to the first embodiment.
　図７（ａ）で示されるように、計測装置１００は、表示部１０１と通信部１０２とセンサ部１０３と撮像部１０４とを有する。 As shown in FIG. 7A, the measuring device 100 includes a display unit 101, a communication unit 102, a sensor unit 103, and an imaging unit 104.
　通信部１０２は、図７（ｂ）で示されるように、ユーザ端末１１０とリンク接続しデータを送信する。リンク接続は、例えばＢｌｕｅｔｏｏｔｈ（登録商標）等の近距離波による無線通信接続により行われる。 As shown in FIG. 7B, the communication unit 102 links with the user terminal 110 and transmits data. The link connection is made by a wireless communication connection using a short-range wave such as Bluetooth (registered trademark).
　センサ部３３０は、計測装置１００を装着するユーザの体温、心拍数、加速度、歩数等の情報を活動データ２１０として取得する。 The sensor unit 330 acquires information such as body temperature, heart rate, acceleration, and number of steps of the user who wears the measuring device 100 as activity data 210.
　なお、計測装置１００の消費電力は、一般のスマートフォン端末等に比べて著しく少ない。計測装置１００は専用のバッテリー又は電池により駆動し、バッテリーの充電及び電池交換を約５年間行わなくてもよい。また計測装置１００は、寿命を延ばすための電池駆動に加えて、ソーラーパネル部を有するようにしても良い。 The power consumption of the measuring device 100 is significantly lower than that of a general smartphone terminal or the like. The measuring device 100 is driven by a dedicated battery or battery, and the battery may not be charged or replaced for about 5 years. Further, the measuring device 100 may have a solar panel unit in addition to being driven by a battery for extending the life.
　また、計測装置１００は、通信部１０２を２系統有する構成とできる。すなわち、計測装置１００は、管理サーバ１２０とネットワークを介して無線接続されることもできる。これにより、ユーザは、ユーザ端末１００が破壊した時でも、計測装置１００を利用して本発明に係る効果を得ることができる。なお、この通信部１０２は、その他、外部のユーザーインターフェイスにも接続でき各種センサ等の拡張が可能である。 Further, the measuring device 100 can be configured to have two communication units 102. That is, the measuring device 100 can also be wirelessly connected to the management server 120 via a network. As a result, the user can obtain the effect according to the present invention by using the measuring device 100 even when the user terminal 100 is destroyed. The communication unit 102 can also be connected to an external user interface, and various sensors and the like can be expanded.
　上記特性により、ユーザは、自然災害時に充電ができない場合や、電波を利用できない場合でも、消費電力の少ない計測装置１００によって、電波を利用せずに管理サーバ１２０とネットワークを介して無線通信接続を行える。 Due to the above characteristics, even if the user cannot charge the battery in the event of a natural disaster or cannot use the radio wave, the measuring device 100 with low power consumption makes a wireless communication connection with the management server 120 via the network without using the radio wave. You can.
　撮像部１０４は、計測装置１００を装着した状態で、例えば食事の際の被写体を撮影するカメラである。撮像部１０４が撮影した食事画像は、例えばｊｐｇ等の画像データとして活動データ２１０に含まれ、一時保存される。 The imaging unit 104 is a camera that captures a subject at the time of eating, for example, with the measuring device 100 attached. The meal image taken by the imaging unit 104 is included in the activity data 210 as image data such as jpg, and is temporarily stored.
＜データ取得処理＞
　図８は、第１実施形態における計測装置１００からのデータ取得処理の概要を示すフローチャートである。 <Data acquisition process>
FIG. 8 is a flowchart showing an outline of the data acquisition process from the measuring device 100 in the first embodiment.
　まず、Ｓ８０１にて、計測装置１００は、リンク状態がＯｎであるか否かを判定する。リンク状態がＯｎである場合、計測装置１００は、全行程を終了する。 First, in S801, the measuring device 100 determines whether or not the link state is On. When the link state is On, the measuring device 100 ends the entire process.
　リンク状態がＯｆｆである場合、計測装置１００は、工程Ｓ８０２へ進行する。 When the link state is Off, the measuring device 100 proceeds to step S802.
　Ｓ８０２にて、計測装置１００は、ユーザ端末１１０とリンク接続する。具体的には、計測装置１００が有する通信部１０２を介して、計測装置１００は、ユーザ端末１１０とリンク接続を行う。 In S802, the measuring device 100 is linked to the user terminal 110. Specifically, the measuring device 100 makes a link connection with the user terminal 110 via the communication unit 102 of the measuring device 100.
　次に、Ｓ８０３にて、計測装置１００は、通信装置ＩＤをユーザ端末１１０に送信する。次に、Ｓ８０４にて、計測装置１００は、リンク状態を「Ｏｎ」に更新する。その後、Ｓ８０５にて、計測装置１００は、Ｓ８０５で更新したリンク状態をユーザ端末１１０に送信する。 Next, in S803, the measuring device 100 transmits the communication device ID to the user terminal 110. Next, in S804, the measuring device 100 updates the link state to "On". After that, in S805, the measuring device 100 transmits the link state updated in S805 to the user terminal 110.
　Ｓ８０６にて、計測装置１００は、前回リンク状態をＯｆｆにした時以降の活動データ２１０をユーザ端末１１０に送信する。 In S806, the measuring device 100 transmits the activity data 210 since the last time the link state was turned off to the user terminal 110.
　次に、Ｓ８０７にて、ユーザ端末１１０は、Ｓ８０３で送信された通信装置ＩＤと、Ｓ８０５で送信されたリンク状態と、Ｓ８０６で送信された活動データ２１０とを、ユーザ情報２００として取得する。 Next, in S807, the user terminal 110 acquires the communication device ID transmitted in S803, the link state transmitted in S805, and the activity data 210 transmitted in S806 as user information 200.
　次に、Ｓ８０８にて、ユーザ端末１１０は、Ｓ８０７で取得したユーザ情報２００を管理サーバ１２０に送信する。 Next, in S808, the user terminal 110 transmits the user information 200 acquired in S807 to the management server 120.
　次に、Ｓ８０９にて、管理サーバ１２０は、Ｓ８０８で送信されたユーザ情報２００を取得する。その後、Ｓ８１０にて、管理サーバ１２０は、Ｓ８０９で取得したユーザ情報２００を、ユーザ情報記憶部１３０に記憶されているユーザ情報２００に更新して記憶する。 Next, in S809, the management server 120 acquires the user information 200 transmitted in S808. After that, in S810, the management server 120 updates and stores the user information 200 acquired in S809 with the user information 200 stored in the user information storage unit 130.
　また、Ｓ８０６の後、Ｓ８１１にて、計測装置１００は、計測装置１００を装着しているユーザが所望するタイミングでリンク状態をＯｆｆにする。 Further, after S806, in S811, the measuring device 100 turns off the link state at a timing desired by the user wearing the measuring device 100.
　なお、本実施例の全行程のうち任意の過程において、ユーザがユーザ端末１１０と計測装置１００とのリンク接続を切る場合、計測装置１００は、リンク状態を「Ｏｆｆ」に更新し、更新したリンク状態をユーザ端末１１０に送信する。 When the user disconnects the link connection between the user terminal 110 and the measuring device 100 in any process of the entire process of this embodiment, the measuring device 100 updates the link state to "Off" and the updated link. The status is transmitted to the user terminal 110.
＜平均数値情報の分析結果等との関係性＞
　図９は、第１実施形態における平均数値情報９００の分析結果３１０等との関係性についての概要を示す図である。 <Relationship with analysis results of average numerical information>
FIG. 9 is a diagram showing an outline of the relationship between the analysis result 310 and the like of the average numerical information 900 in the first embodiment.
　図９に示されるように、平均数値情報９００は、活動データ２１０の各項目についてユーザの基本データに含まれる例えば「性別、年齢、身長」等を抽出基準として、ビッグデータ記憶部１３５から抽出される平均値を示す。平均数値情報９００に関し、ビッグデータ記憶部１３５から抽出基準を用いて抽出される値は、特に限定されず、例えば、平均値、中央値、最頻値、第１四分位数、及び第３四分位数等によって例示される、ビッグデータ記憶部１３５から抽出基準を用いて抽出されたデータに関する統計値等でよい。以下、ビッグデータ記憶部１３５から抽出基準を用いて抽出された平均数値情報９００に含まれる値を平均値等とも称する。 As shown in FIG. 9, the average numerical information 900 is extracted from the big data storage unit 135 for each item of the activity data 210, using, for example, "gender, age, height" included in the basic data of the user as an extraction standard. Indicates the average value. With respect to the average numerical information 900, the values extracted from the big data storage unit 135 using the extraction criteria are not particularly limited, and are, for example, the average value, the median value, the mode value, the first quartile, and the third. It may be a statistical value or the like related to the data extracted from the big data storage unit 135 by using the extraction standard, which is exemplified by a quartile or the like. Hereinafter, the value included in the average numerical information 900 extracted from the big data storage unit 135 using the extraction standard is also referred to as an average value or the like.
　例えば、ユーザの基本データが「男性、５５歳、１６０ｃｍ」の時、平均数値情報９００は、ビッグデータ記憶部１３５から「男性、５５歳、１６０ｃｍ」と同一の条件をみたす、血圧、心拍数等の項目ごとの平均値等を抽出することにより取得される。 For example, when the basic data of the user is "male, 55 years old, 160 cm", the average numerical information 900 satisfies the same conditions as "male, 55 years old, 160 cm" from the big data storage unit 135, blood pressure, heart rate, etc. It is obtained by extracting the average value etc. for each item of.
　また、図９に示されるように、分析結果３１０は、活動データ２１０の各項目について、ユーザの活動データ２１０と平均数値情報９００に含まれる平均値等とを比較することによって得られる。すなわち、活動データ２１０の各項目について、ユーザの活動データ２１０が、平均数値情報９００に含まれる平均値等と比較して優れた数値であるか否かに応じて、分析結果３１０の評価４１０は、高い数値であるか否かが決定する。 Further, as shown in FIG. 9, the analysis result 310 is obtained by comparing the activity data 210 of the user with the average value or the like included in the average numerical information 900 for each item of the activity data 210. That is, for each item of the activity data 210, the evaluation 410 of the analysis result 310 depends on whether or not the user's activity data 210 is an excellent numerical value as compared with the average value or the like included in the average numerical information 900. , Determine whether it is a high number.
　例えば、ユーザの「歩数」の活動データ２１０が「７０００歩」であって、平均数値情報９００が「５０００歩」である場合、ユーザの「歩数」についての評価４１０は「６０」として示される。なお、評価４１０は、例えば、０から１００までの数値とできるが特に限定されない。また、評価４１０の算出式は、特に限定されない。 For example, when the activity data 210 of the user's "steps" is "7000 steps" and the average numerical information 900 is "5000 steps", the evaluation 410 for the user's "steps" is shown as "60". The evaluation 410 can be, for example, a numerical value from 0 to 100, but is not particularly limited. Further, the calculation formula of the evaluation 410 is not particularly limited.
　また、図９に示されるように、分析結果画面１１００は、分析結果３１０に基づいて生成される。サービス画面１４００は、評価４１０が所定数値、例えば５０未満である結果項目４００、又はレベル５１０が所定数値、例えば２以上であるサービス生成用項目５００に基づいて生成される。 Further, as shown in FIG. 9, the analysis result screen 1100 is generated based on the analysis result 310. The service screen 1400 is generated based on a result item 400 whose evaluation 410 is a predetermined value, for example, less than 50, or a service generation item 500, whose level 510 is a predetermined value, for example 2, or more.
　このように、ユーザが有する基本データと同一条件についての平均値である平均数値情報９００をビッグデータ記憶部１３５から抽出し、ユーザの行動に由来する活動データ２１０と比較することで、管理サーバ１２０は、ユーザの健康状態が平均からどの程度優れているかを分析できる。 In this way, by extracting the average numerical information 900, which is the average value for the same conditions as the basic data possessed by the user, from the big data storage unit 135 and comparing it with the activity data 210 derived from the user's behavior, the management server 120 Can analyze how good a user's health is from the average.
　また、評価４１０が所定数値、例えば５０未満、である項目について、サービス画面１４００を生成することにより、健康診断等の実施に伴う時間や労力を必要とせずに、管理サーバ１２０は、ユーザの健康問題を把握して最適な問題解決方法を提案できる。 Further, by generating the service screen 1400 for the item whose evaluation 410 is a predetermined value, for example, less than 50, the management server 120 can be used for the health of the user without requiring time and labor associated with the implementation of the health examination and the like. You can grasp the problem and propose the optimum problem solving method.
＜活動データ分析処理＞
　図１０は、第１実施形態における活動データ分析処理の概要を示すフローチャートである。 <Activity data analysis processing>
FIG. 10 is a flowchart showing an outline of the activity data analysis process in the first embodiment.
　まず、Ｓ１００１にて、管理サーバ１２０の活動データ分析部１４０は、ユーザ情報記憶部１３０からユーザ情報２００を抽出する。 First, in S1001, the activity data analysis unit 140 of the management server 120 extracts the user information 200 from the user information storage unit 130.
　次に、Ｓ１００２にて、活動データ分析部１４０は、Ｓ１００１で抽出したユーザ情報２００に含まれるユーザＩＤに対応する活動データ２１０を抽出する。 Next, in S1002, the activity data analysis unit 140 extracts the activity data 210 corresponding to the user ID included in the user information 200 extracted in S1001.
　次に、Ｓ１００３にて、活動データ分析部１４０は、Ｓ１００２で抽出した活動データ２１０の各項目についての平均数値情報９００をビッグデータ記憶部１３５から抽出する。 Next, in S1003, the activity data analysis unit 140 extracts the average numerical information 900 for each item of the activity data 210 extracted in S1002 from the big data storage unit 135.
　次に、Ｓ１００４にて、活動データ分析部１４０は、Ｓ１００３で抽出した平均数値情報９００に基づいて、活動データ２１０の各項目に対応する結果項目４００ごとに評価４１０を算出する。より具体的には、活動データ分析部１４０は、Ｓ１００２で抽出した活動データ２１０の各項目について、当該活動データ２１０の数値と、Ｓ１００３で抽出した平均数値情報９００の数値とを比較することによって、評価４１０を算出する。 Next, in S1004, the activity data analysis unit 140 calculates an evaluation 410 for each result item 400 corresponding to each item of the activity data 210 based on the average numerical information 900 extracted in S1003. More specifically, the activity data analysis unit 140 compares the numerical value of the activity data 210 with the numerical value of the average numerical information 900 extracted in S1003 for each item of the activity data 210 extracted in S1002. The evaluation 410 is calculated.
　なお、活動データ分析部１４０は、活動データ２１０の各項目について、当該活動データ２１０の数値が平均数値情報９００の数値と比較して優れた数値であるか否かに応じて、評価４１０の数値を決定する。 The activity data analysis unit 140 evaluates each item of the activity data 210 according to whether or not the numerical value of the activity data 210 is superior to the numerical value of the average numerical information 900. To determine.
　次に、Ｓ１００５にて、活動データ分析部１４０は、Ｓ１００４で算出した評価４１０に基づいて、分析結果３１０を生成する。活動データ分析部１４０は、活動データ２１０の各項目について、算出した評価４１０の数値と、ユーザＩＤと、生成日等とを紐付けて分析結果３１０を生成する。 Next, in S1005, the activity data analysis unit 140 generates an analysis result 310 based on the evaluation 410 calculated in S1004. The activity data analysis unit 140 generates an analysis result 310 by associating the calculated numerical value of the evaluation 410 with the user ID, the generation date, and the like for each item of the activity data 210.
　次に、Ｓ１００６にて、活動データ分析部１４０は、Ｓ１００５で生成した分析結果３１０を分析結果記憶部１３２に記憶する。 Next, in S1006, the activity data analysis unit 140 stores the analysis result 310 generated in S1005 in the analysis result storage unit 132.
　次に、Ｓ１００７にて、活動データ分析部１４０は、分析結果画面１１００の生成を分析結果画面生成部１５０に要求する。 Next, in S1007, the activity data analysis unit 140 requests the analysis result screen generation unit 150 to generate the analysis result screen 1100.
　次に、Ｓ１００８にて、活動データ分析部１４０は、Ｓ１００５で生成した分析結果３１０に含まれる項目のうち評価４１０が所定数値、例えば５０未満、である結果項目４１０が存在し、且つ、分析結果３１０に含まれるサービス生成用項目５００のうちレベル５１０が第一の数値（例えば、「２」）以上であるサービス生成用項目５００が存在するか否かを判定する。なお、所定数値は特に限定されない。 Next, in S1008, the activity data analysis unit 140 has a result item 410 in which the evaluation 410 is a predetermined value, for example, less than 50, among the items included in the analysis result 310 generated in S1005, and the analysis result. It is determined whether or not there is a service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") among the service generation items 500 included in 310. The predetermined numerical value is not particularly limited.
　Ｓ１００５で生成した分析結果３１０に含まれる項目のうち評価４１０が所定数値、例えば５０未満、である結果項目４１０が存在しない場合、又は、分析結果３１０に含まれるサービス生成用項目５００のうちレベル５１０が第一の数値（例えば、「２」）以上であるサービス生成用項目５００が存在しない場合、活動データ分析部１４０は、本工程を終了する。 If there is no result item 410 in which the evaluation 410 is a predetermined value, for example, less than 50 among the items included in the analysis result 310 generated in S1005, or the service generation item 500 included in the analysis result 310 is level 510. When there is no service generation item 500 in which is equal to or greater than the first numerical value (for example, “2”), the activity data analysis unit 140 ends this step.
　Ｓ１００５で生成した分析結果３１０に含まれる項目のうち評価４１０が所定数値、例えば５０未満、である結果項目４１０が存在し、且つ、分析結果３１０に含まれるサービス生成用項目５００のうちレベル５１０が第一の数値（例えば、「２」）以上であるサービス生成用項目５００が存在する場合、Ｓ１００９にて、活動データ分析部１４０は、サービス画面１４００の生成をサービス画面生成部１７０に要求する。 Among the items included in the analysis result 310 generated in S1005, there is a result item 410 in which the evaluation 410 is a predetermined value, for example, less than 50, and the level 510 of the service generation items 500 included in the analysis result 310 is level 510. When there is a service generation item 500 that is equal to or greater than the first numerical value (for example, "2"), in S1009, the activity data analysis unit 140 requests the service screen generation unit 170 to generate the service screen 1400.
　次に、Ｓ１０１０にて、活動データ分析部１４０は、Ｓ１００５で生成した分析結果３１０に含まれる項目のうちレベル５１０が第二の数値（例えば、「５」）であるサービス生成用項目５１０が存在するか否かを判定する。 Next, in S1010, the activity data analysis unit 140 has a service generation item 510 in which the level 510 is the second numerical value (for example, "5") among the items included in the analysis result 310 generated in S1005. Determine whether or not to do so.
　Ｓ１００５で生成した分析結果３１０に含まれる項目のうちレベル５１０が第二の数値（例えば、「５」）であるサービス生成用項目５１０が存在しない場合、活動データ分析部１４０は、本工程を終了する。 If there is no service generation item 510 whose level 510 is the second numerical value (for example, "5") among the items included in the analysis result 310 generated in S1005, the activity data analysis unit 140 ends this process. do.
　Ｓ１００５で生成した分析結果３１０に含まれる項目のうちレベル５１０が第二の数値（例えば、「５」）であるサービス生成用項目５１０が存在する場合、Ｓ１０１１にて、活動データ分析部１４０は、アラート１７００の生成をアラート生成部１８１に要求する。 If there is a service generation item 510 whose level 510 is the second numerical value (for example, "5") among the items included in the analysis result 310 generated in S1005, the activity data analysis unit 140 in S1011 The alert generation unit 181 is requested to generate the alert 1700.
　このように、ユーザが有する年齢や身長といった基本データと同一条件での平均値である平均数値情報９００をビッグデータ記憶部１３５から抽出し、ユーザの行動に由来する活動データ２１０と比較することで、管理サーバ１２０は、ユーザの日常の健康状態がどの程度優れているかを分析できる。 In this way, by extracting the average numerical information 900, which is the average value under the same conditions as the basic data such as the age and height of the user, from the big data storage unit 135 and comparing it with the activity data 210 derived from the user's behavior. , The management server 120 can analyze how good the user's daily health condition is.
＜分析結果画面＞
　図１１は、第１実施形態における分析結果画面１１００の概念を示す図である。 <Analysis result screen>
FIG. 11 is a diagram showing the concept of the analysis result screen 1100 according to the first embodiment.
　図１１（ａ）に示されるように、分析結果画面１１００は、スコア表示領域１１１０と、第１チャート表示領域１１２０とを含む。 As shown in FIG. 11A, the analysis result screen 1100 includes a score display area 1110 and a first chart display area 1120.
　スコア表示領域１１１０は、活動データ２１０の各項目について算出された分析結果３１０のうち評価４１０の数値等を表示させる。なお、スコア表示領域１１１０が表示させる評価４１０の数値等の表示のさせ方については特に限定されない。 The score display area 1110 displays the numerical value of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210. The method of displaying the numerical value of the evaluation 410 displayed by the score display area 1110 is not particularly limited.
　第１チャート表示領域１１２０は、活動データ２１０の各項目について算出された分析結果３１０のうち評価４１０の数値等を、例えば折れ線グラフや、ヒストグラム等のチャートにより表示させる。なお、第１チャート表示領域１１２０が表示させる評価４１０の数値等のチャート表示のさせ方については特に限定されない。 The first chart display area 1120 displays the numerical value of the evaluation 410 out of the analysis results 310 calculated for each item of the activity data 210 by, for example, a line graph or a chart such as a histogram. The method of displaying the chart such as the numerical value of the evaluation 410 displayed by the first chart display area 1120 is not particularly limited.
　また、図１１（ｂ）に示されるように、分析結果画面１１００は、第２チャート表示領域１１３０のみを含むものとしてもよい。この場合、分析結果画面１１００は、スコア表示領域１１１０を含まないものとできる。 Further, as shown in FIG. 11B, the analysis result screen 1100 may include only the second chart display area 1130. In this case, the analysis result screen 1100 may not include the score display area 1110.
　第２チャート表示領域１１３０は、活動データ２１０の各項目について算出された分析結果３１０のうち評価４１０の数値等を、第１チャート表示領域１１２０で表示されたチャートとは異なる形式の、例えばレーダーチャート等のチャートにより表示させる。なお、第２チャート表示領域１１３０が表示させる評価４１０の数値等のチャート表示のさせ方については特に限定されない。 In the second chart display area 1130, the numerical values of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210 are displayed in a format different from the chart displayed in the first chart display area 1120, for example, a radar chart. It is displayed by a chart such as. The method of displaying the chart such as the numerical value of the evaluation 410 displayed by the second chart display area 1130 is not particularly limited.
　このようにして、管理サーバ１２０は、ユーザの通院や健康診断に伴う時間や労力のコストを必要とせずに、ユーザの健康状態を把握させることができる。また、分析結果画面１１００が複数の異なるチャート表示領域を有することで、ユーザは、より多角的に健康状態を把握できる。 In this way, the management server 120 can grasp the health condition of the user without requiring the cost of time and labor associated with the visit to the hospital and the health examination of the user. Further, since the analysis result screen 1100 has a plurality of different chart display areas, the user can grasp the health state from various angles.
＜分析結果画面生成処理及び分析結果画面記憶処理＞
　図１２は、第１実施形態における分析結果画面生成処理及び分析結果画面記憶処理の概要を示すフローチャートである。 <Analysis result screen generation processing and analysis result screen storage processing>
FIG. 12 is a flowchart showing an outline of the analysis result screen generation process and the analysis result screen storage process in the first embodiment.
　まず、Ｓ１２０１にて、管理サーバ１２０の分析結果画面生成部１５０は、Ｓ１００７で要求された分析結果画面１１００の生成リクエストを受け付け、生成に要する分析結果３１０を分析結果記憶部１３２から抽出する。 First, in S1201, the analysis result screen generation unit 150 of the management server 120 receives the generation request of the analysis result screen 1100 requested in S1007, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
　次に、Ｓ１２０２にて、分析結果画面生成部１５０は、Ｓ１２０１で抽出した分析結果３１０に基づいて、分析結果画面１１００を生成する。 Next, in S1202, the analysis result screen generation unit 150 generates the analysis result screen 1100 based on the analysis result 310 extracted in S1201.
　次に、Ｓ１２０３にて、分析結果画面生成部１５０は、Ｓ１２０２で生成した分析結果画面１１００を分析結果画面記憶部１３３に記憶する。 Next, in S1203, the analysis result screen generation unit 150 stores the analysis result screen 1100 generated in S1202 in the analysis result screen storage unit 133.
　次に、Ｓ１２０４にて、分析結果画面生成部１５０は、分析結果画面１１００の提供を分析結果画面提供部１６０に要求する。 Next, in S1204, the analysis result screen generation unit 150 requests the analysis result screen providing unit 160 to provide the analysis result screen 1100.
＜分析結果画面提供処理＞
　図１３は、第１実施形態における分析結果画面提供処理の構成例の概要を示すフローチャートである。 <Analysis result screen provision processing>
FIG. 13 is a flowchart showing an outline of a configuration example of the analysis result screen providing process in the first embodiment.
　まず、Ｓ１３０１にて、管理サーバ１２０の分析結果画面提供部１６０は、Ｓ１２０４で要求された分析結果画面１１００の提供リクエストを受け付ける。 First, in S1301, the analysis result screen providing unit 160 of the management server 120 receives the request for providing the analysis result screen 1100 requested in S1204.
　次に、Ｓ１３０２にて、分析結果画面提供部１６０は、Ｓ１２０３で記憶された分析結果画面１１００を分析結果画面記憶部１３３から抽出する。 Next, in S1302, the analysis result screen providing unit 160 extracts the analysis result screen 1100 stored in S1203 from the analysis result screen storage unit 133.
　次に、Ｓ１３０３にて、分析結果画面提供部１６０は、分析結果画面１１００を提供したい事業所ＩＤに対応する事業所情報３００を事業所情報記憶部１３１から抽出する。 Next, in S1303, the analysis result screen providing unit 160 extracts the business establishment information 300 corresponding to the business establishment ID for which the analysis result screen 1100 is to be provided from the business establishment information storage unit 131.
　次に、Ｓ１３０４にて、分析結果画面提供部１６０は、Ｓ１３０２で抽出した分析結果画面１１００を事業所端末１９０に提供する。 Next, in S1304, the analysis result screen providing unit 160 provides the analysis result screen 1100 extracted in S1302 to the business office terminal 190.
　次に、Ｓ１３０５にて、事業所端末１９０は、Ｓ１３０４で管理サーバ１２０から提供された分析結果画面１１００を、端末のディスプレイに表示させる。 Next, in S1305, the business office terminal 190 causes the analysis result screen 1100 provided by the management server 120 in S1304 to be displayed on the display of the terminal.
　次に、Ｓ１３０６にて、分析結果画面提供部１６０は、Ｓ１３０３で抽出した事業所情報３００に含まれる所属ユーザＩＤに対応したユーザ情報２００をユーザ情報記憶部１３０から抽出する。 Next, in S1306, the analysis result screen providing unit 160 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1303 from the user information storage unit 130.
　次に、Ｓ１３０７にて、分析結果画面提供部１６０は、Ｓ１３０２で抽出した分析結果画面１１００をユーザ端末１１０に提供する。 Next, in S1307, the analysis result screen providing unit 160 provides the analysis result screen 1100 extracted in S1302 to the user terminal 110.
　次に、Ｓ１３０８にて、ユーザ端末１１０は、Ｓ１３０７で管理サーバ１２０から提供された分析結果画面１１００を、端末のディスプレイに表示させる。 Next, in S1308, the user terminal 110 displays the analysis result screen 1100 provided by the management server 120 in S1307 on the display of the terminal.
　このようにして、管理サーバ１２０は、ユーザの通院や健康診断に伴う時間や労力のコストを必要とせずに、ユーザの健康状態を把握させることができる。また、管理サーバ１２０は、事業所端末１９０に分析結果画面９００を提供することで、世界中の医療機関と随時情報の交換を行い、遠隔診療を速やかに行うことができる。 In this way, the management server 120 can grasp the health condition of the user without requiring the cost of time and labor associated with the visit to the hospital and the health examination of the user. In addition, the management server 120 can exchange information with medical institutions around the world at any time by providing the analysis result screen 900 to the business office terminal 190, and can promptly perform telemedicine.
＜サービス画面＞
　図１４は、第１実施形態におけるサービス画面１４００の概念を示す図である。 <Service screen>
FIG. 14 is a diagram showing the concept of the service screen 1400 according to the first embodiment.
　図１４（ａ）に示されるように、サービス画面１４００は、コメント表示領域１４１０及び提案サービスメニュー表示領域１４２０を含む。 As shown in FIG. 14A, the service screen 1400 includes a comment display area 1410 and a proposed service menu display area 1420.
　コメント表示領域１４１０は、分析結果３１０に含まれる結果項目４００のうち評価４１０が所定数値、例えば５０未満、である項目が何であるかを知らせるためのコメントを表示させる。また、コメント表示領域１４１０は、分析結果３１０に含まれるサービス生成用項目５００のうちレベル５１０が第一の数値（例えば、「２」）以上であるサービス生成用項目５００について、レベル５１０の数値に応じたコメントを表示させる。なお、コメント表示領域１４１０のコメント表示のさせ方については特に限定されない。 The comment display area 1410 displays a comment for notifying what is the item whose evaluation 410 is a predetermined numerical value, for example, less than 50, among the result items 400 included in the analysis result 310. Further, the comment display area 1410 is set to the value of level 510 for the service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") among the service generation items 500 included in the analysis result 310. Display the corresponding comment. The method of displaying the comment in the comment display area 1410 is not particularly limited.
　例えば、コメント表示領域１４１０は、分析結果３１０に含まれる「ストレス度」の評価４１０が「４７」である場合、コメントとして「ストレス度のスコアが低いです」等を表示させる。また、分析結果３１０に含まれる「罹患リスク」のレベル５１０が「２」である場合、コメントとして「疾患〇〇、〇〇の可能性があります」等を表示させる。 For example, in the comment display area 1410, when the evaluation 410 of the "stress degree" included in the analysis result 310 is "47", "the stress degree score is low" or the like is displayed as a comment. In addition, when the level 510 of the "morbidity risk" included in the analysis result 310 is "2", "there is a possibility of disease OO, OO" or the like is displayed as a comment.
　なお、上記コメントに係る〇〇の疾患名は、分析結果３１０の結果項目４００の種類、及びその評価４１０の数値、またユーザの基本データとの組み合わせ、及び過去の活動データ２１０からの経緯等によって人工知能（ＡＩ）により自動的に判定される。例えば、結果項目４００のうち「体脂肪率、ストレス度」の評価４１０が「３０、２０」の場合、上記コメントに係る〇〇の疾患名は、「糖尿病」や「脳卒中」と判定される。 In addition, the disease name of XX related to the above comment depends on the type of the result item 400 of the analysis result 310, the numerical value of the evaluation 410, the combination with the basic data of the user, the history from the past activity data 210, and the like. It is automatically determined by artificial intelligence (AI). For example, when the evaluation 410 of "body fat percentage, stress degree" in the result item 400 is "30, 20", the disease name of XX related to the above comment is determined to be "diabetes" or "stroke".
　このように、日数が経過するにつれてユーザ情報２００の取得に伴うユーザの活動データ２１０の蓄積量が増え、人工知能（ＡＩ）による判定の正確性が向上するため、管理サーバ１２０は、ユーザからの活動データ２１０の取得、分析、その後のサービス画面１４００の提供等を通じて、ユーザの健康管理についてのＰＤＣＡサイクルを効率よく実現できる。 In this way, as the number of days elapses, the amount of accumulation of the user's activity data 210 accompanying the acquisition of the user information 200 increases, and the accuracy of the determination by the artificial intelligence (AI) improves. The PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of activity data 210 and the subsequent provision of the service screen 1400.
　提案サービスメニュー表示領域１４２０は、分析結果３１０に含まれる結果項目４００のうち評価４１０が所定数値、例えば５０未満、である項目についての、また、分析結果３１０に含まれるサービス生成用項目５００のうちレベル５１０が第一の数値（例えば、「２」）以上であるサービス生成用項目５００についての問題改善を勧めるための提案サービスメニューを表示させる。なお、提案サービスメニュー表示領域１４２０の表示のさせ方については特に限定されない。 The proposed service menu display area 1420 is for an item in which the evaluation 410 is a predetermined value, for example, less than 50 among the result items 400 included in the analysis result 310, and among the service generation items 500 included in the analysis result 310. A proposed service menu for recommending improvement of the problem of the service generation item 500 whose level 510 is equal to or higher than the first numerical value (for example, "2") is displayed. The method of displaying the proposed service menu display area 1420 is not particularly limited.
　また、図１４（ｂ）で示されるように、提案サービスメニューは、レベル５１０の数値に応じて、内容が決定される。例えば、サービス生成用項目５００のうち「罹患リスク」のレベル５１０の数値が「２」の場合、提案サービスメニューは、「オンライン問診」や「薬配達」という内容で決定される。 Further, as shown in FIG. 14B, the content of the proposed service menu is determined according to the numerical value of level 510. For example, when the numerical value of the level 510 of the "morbidity risk" among the service generation items 500 is "2", the proposed service menu is determined by the contents of "online interview" and "drug delivery".
　あるいは、例えば、サービス生成用項目５００のうち「疾患進行度」のレベル５１０の数値が「３」の場合、提案サービスメニューは、「訪問看護」や「見守りサービス」という内容で決定される。 Alternatively, for example, when the numerical value of level 510 of the "disease progression" among the service generation items 500 is "3", the proposed service menu is determined by the contents of "home-visit nursing care" and "watching service".
　また、レベル５１０の数値が大きいほどユーザの健康問題について重篤度が高いことを示すため、提案サービスメニューは、分析結果３１０に含まれるサービス生成用項目５００のレベル５１０の数値が大きくなるに従って、健康サービスの高度性や緊急性の高いものを構成する。なお、提案サービスメニューの内容については特に限定されない。 Further, since the larger the value of level 510 is, the more serious the user's health problem is, the proposed service menu is set as the value of level 510 of the service generation item 500 included in the analysis result 310 becomes larger. Consists of high-level and urgent health services. The content of the proposed service menu is not particularly limited.
　このように、管理サーバ１２０は、ユーザからの活動データ２１０の取得と同時に活動データ２１０の結果を反映した健康サービスメニューを提供することにより、ユーザの通院や健康診断に伴う時間や労力のコストを低減し、ユーザに日常の健康管理を容易に行わせるための健康サービスを提案することが可能となる。 In this way, the management server 120 acquires the activity data 210 from the user and at the same time provides the health service menu that reflects the result of the activity data 210, thereby reducing the cost of time and labor associated with the user's hospital visit and health examination. It is possible to reduce the number of health services and propose health services to facilitate daily health management.
　また、事業所は、分析した結果生成された罹患リスク・疾患進行度を容易に把握でき、健康問題に対する最適な解決方法を迅速にユーザに提供できる。 In addition, the business establishment can easily grasp the morbidity risk and disease progression generated as a result of the analysis, and can promptly provide the user with the optimum solution to the health problem.
　さらに、ユーザは、分析した結果生成された罹患リスク・疾患進行度を容易に把握でき、健康問題に対する最適な解決方法を迅速に把握できる。 Furthermore, the user can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can quickly grasp the optimum solution to the health problem.
＜サービス画面生成処理及びサービス画面記憶処理＞
　図１５は、第１実施形態におけるサービス画面生成処理及びサービス画面記憶処理の概要を示すフローチャートである。 <Service screen generation processing and service screen storage processing>
FIG. 15 is a flowchart showing an outline of the service screen generation process and the service screen storage process according to the first embodiment.
　まず、Ｓ１５０１にて、管理サーバ１２０のサービス画面生成部１７０は、Ｓ１００９で要求されたサービス画面１４００の生成リクエストを受け付け、生成に要する分析結果３１０を分析結果記憶部１３２から抽出する。 First, in S1501, the service screen generation unit 170 of the management server 120 receives the generation request of the service screen 1400 requested in S1009, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
　次に、Ｓ１５０２にて、サービス画面生成部１７０は、Ｓ１５０１で抽出した分析結果３１０に基づいて、サービス画面１４００を生成する。 Next, in S1502, the service screen generation unit 170 generates the service screen 1400 based on the analysis result 310 extracted in S1501.
　次に、Ｓ１５０３にて、サービス画面生成部１７０は、Ｓ１５０２で生成したサービス画面１４００をサービス画面記憶部１３４に記憶する。 Next, in S1503, the service screen generation unit 170 stores the service screen 1400 generated in S1502 in the service screen storage unit 134.
　次に、Ｓ１５０４にて、サービス画面生成部１７０は、サービス画面１４００の提供をサービス画面提供部１８０に要求する。 Next, in S1504, the service screen generation unit 170 requests the service screen providing unit 180 to provide the service screen 1400.
＜サービス画面提供処理＞
　図１６は、第１実施形態におけるサービス画面提供処理の構成例の概要を示すフローチャートである。 <Service screen provision processing>
FIG. 16 is a flowchart showing an outline of a configuration example of the service screen providing process according to the first embodiment.
　まず、Ｓ１６０１にて、管理サーバ１２０のサービス画面提供部１８０は、Ｓ１５０４で要求されたサービス画面１４００の提供リクエストを受け付ける。 First, in S1601, the service screen providing unit 180 of the management server 120 receives the request for providing the service screen 1400 requested in S1504.
　次に、Ｓ１６０２にて、サービス画面提供部１８０は、Ｓ１５０３で記憶されたサービス画面１４００をサービス画面記憶部１３４から抽出する。 Next, in S1602, the service screen providing unit 180 extracts the service screen 1400 stored in S1503 from the service screen storage unit 134.
　次に、Ｓ１６０３にて、サービス画面提供部１８０は、サービス画面１４００を提供したい事業所ＩＤに対応する事業所情報３００を事業所情報記憶部１３１から抽出する。 Next, in S1603, the service screen providing unit 180 extracts the business establishment information 300 corresponding to the business establishment ID for which the service screen 1400 is to be provided from the business establishment information storage unit 131.
　次に、Ｓ１６０４にて、サービス画面提供部１８０は、Ｓ１６０２で抽出したサービス画面１４００を事業所端末１９０に提供する。 Next, in S1604, the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the business office terminal 190.
　次に、Ｓ１６０５にて、事業所端末１９０は、Ｓ１６０４で管理サーバ１２０から提供されたサービス画面１４００を、端末のディスプレイに表示させる。 Next, in S1605, the business office terminal 190 displays the service screen 1400 provided by the management server 120 in S1604 on the display of the terminal.
　次に、Ｓ１６０６にて、サービス画面提供部１８０は、Ｓ１６０３で抽出した事業所情報３００に含まれる所属ユーザＩＤに対応したユーザ情報２００をユーザ情報記憶部１３０から抽出する。 Next, in S1606, the service screen providing unit 180 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1603 from the user information storage unit 130.
　次に、Ｓ１６０７にて、サービス画面提供部１８０は、Ｓ１６０２で抽出したサービス画面１４００をユーザ端末１１０に提供する。 Next, in S1607, the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the user terminal 110.
　次に、Ｓ１６０８にて、ユーザ端末１１０は、Ｓ１６０７で管理サーバ１２０から提供されたサービス画面１４００を、端末のディスプレイに表示させる。 Next, in S1608, the user terminal 110 displays the service screen 1400 provided by the management server 120 in S1607 on the display of the terminal.
　このように、管理サーバ１２０は、ユーザからの活動データ２１０の取得と同時に活動データ２１０の結果を反映した健康サービスメニューを提供することにより、ユーザの通院や健康診断に伴う時間や労力のコストを低減し、ユーザに日常の健康管理を容易に行わせるための健康サービスを提案することが可能となる。 In this way, the management server 120 acquires the activity data 210 from the user and at the same time provides the health service menu that reflects the result of the activity data 210, thereby reducing the cost of time and labor associated with the user's hospital visit and health examination. It is possible to reduce the number of health services and propose health services to facilitate daily health management.
　また、管理サーバ１２０は、事業所端末１９０にサービス画面１４００を提供することで、世界中の医療機関と随時情報の交換を行い、遠隔診療を速やかに行うことができる。さらに、事業所は、分析した結果生成された罹患リスク・疾患進行度を容易に把握でき、健康問題に対する最適な解決方法を迅速にユーザに提供できる。 In addition, the management server 120 can exchange information with medical institutions around the world at any time by providing the service screen 1400 to the business office terminal 190, and can promptly perform telemedicine. Furthermore, the business establishment can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can promptly provide the user with the optimum solution to the health problem.
　また、日数が経過するにつれてユーザ情報２００の取得に伴うユーザの活動データ２１０の蓄積量が増え、人工知能（ＡＩ）による判定の正確性が向上するため、管理サーバ１２０は、ユーザからの活動データ２１０の取得、分析、その後のサービス画面１４００の提供等を通じて、ユーザの健康管理についてのＰＤＣＡサイクルを効率よく実現できる。 Further, as the number of days elapses, the amount of the user's activity data 210 accumulated with the acquisition of the user information 200 increases, and the accuracy of the determination by the artificial intelligence (AI) improves. Therefore, the management server 120 uses the activity data from the user. The PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of 210 and the subsequent provision of the service screen 1400.
　さらに、ユーザは、分析した結果生成された罹患リスク・疾患進行度を容易に把握でき、健康問題に対する最適な解決方法を迅速に把握できる。 Furthermore, the user can easily grasp the morbidity risk and the degree of disease progression generated as a result of the analysis, and can quickly grasp the optimum solution to the health problem.
＜アラート＞
　図１７は、第１実施形態におけるアラート１７００の概要を示す図である。 <Alert>
FIG. 17 is a diagram showing an outline of the alert 1700 according to the first embodiment.
　図１７（ａ）に示されるように、アラート１７００は、アラート表示領域１７１０を含む。 As shown in FIG. 17A, the alert 1700 includes an alert display area 1710.
　アラート表示領域１７１０は、レベル５１０が第二の数値（例えば、「５」）であるサービス生成用項目５００について、サービス生成用項目５００の種類に応じたコメントを表示させる。なお、アラート表示領域１７１０の表示のさせ方については特に限定されない。 The alert display area 1710 displays comments according to the type of the service generation item 500 for the service generation item 500 whose level 510 is the second numerical value (for example, "5"). The method of displaying the alert display area 1710 is not particularly limited.
　例えば、アラート表示領域１７１０は、レベル５１０が第二の数値（例えば、「５」）であるサービス生成用項目５００が「罹患リスク」である場合、コメントとして「疾患〇〇の罹患のおそれがあります」等を表示させる。 For example, in the alert display area 1710, if the service generation item 500 whose level 510 is the second numerical value (for example, "5") is "risk of illness", the comment "There is a risk of morbidity of disease XX". , Etc. are displayed.
　なお、上記コメントに係る〇〇の疾患名は、分析結果３１０の結果項目４００の種類、及びその評価４１０の数値、またユーザの基本データとの組み合わせ、及び過去の活動データ２１０からの経緯等によって人工知能（ＡＩ）により自動的に判定される。例えば、結果項目４００のうち「体脂肪率、ストレス度」の評価４１０が「３０、２０」の場合、上記コメントに係る〇〇の疾患名は、「糖尿病」や「脳卒中」と判定される。 In addition, the disease name of XX related to the above comment depends on the type of the result item 400 of the analysis result 310, the numerical value of the evaluation 410, the combination with the basic data of the user, the history from the past activity data 210, and the like. It is automatically determined by artificial intelligence (AI). For example, when the evaluation 410 of "body fat percentage, stress degree" in the result item 400 is "30, 20", the disease name of XX related to the above comment is determined to be "diabetes" or "stroke".
　図１７（ｂ）に示されるように、アラート１７００は、管理サーバ１２０からユーザ端末１１０に提供される。また、ユーザ端末１１０と計測装置１００がリンク接続されている状態の時、アラート１７００は、計測装置１００の表示部１０１に表示される。この際、計測装置１００は、表示部１０１の背景色が所定色に変化してアラート１７００を表示させる。 As shown in FIG. 17B, the alert 1700 is provided from the management server 120 to the user terminal 110. Further, when the user terminal 110 and the measuring device 100 are linked and connected, the alert 1700 is displayed on the display unit 101 of the measuring device 100. At this time, the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700.
　このように、管理サーバ１２０は、計測装置１００から取得したユーザの活動データ２１０の分析を通じて、罹患リスク・疾患進行度が著しく高い場合にアラート１７００をユーザに対し提供することにより、ユーザの通院や健康診断に伴う時間や労力のコストを低減しつつ、健康についての重篤度・緊急性の高いユーザに対し、健康サービスを受けることを促すことができる。 In this way, the management server 120 provides the alert 1700 to the user when the morbidity risk / disease progression is extremely high through the analysis of the user activity data 210 acquired from the measuring device 100, so that the user can go to the hospital or visit the hospital. While reducing the time and labor costs associated with health examinations, it is possible to encourage users with high health severity and urgency to receive health services.
＜アラート生成処理＞
　図１８は、第１実施形態におけるアラート生成処理の概要を示すフローチャートである。 <Alert generation process>
FIG. 18 is a flowchart showing an outline of the alert generation process according to the first embodiment.
　まず、Ｓ１８０１にて、管理サーバ１２０のアラート生成部１８１は、Ｓ１０１１で要求されたアラート１７００の生成リクエストを受け付け、生成に要する分析結果３１０を分析結果記憶部１３２から抽出する。 First, in S1801, the alert generation unit 181 of the management server 120 receives the generation request of the alert 1700 requested in S1011 and extracts the analysis result 310 required for generation from the analysis result storage unit 132.
　次に、Ｓ１８０２にて、アラート生成部１８１は、Ｓ１８０１で抽出した分析結果３１０に基づいて、アラート１７００を生成する。 Next, in S1802, the alert generation unit 181 generates an alert 1700 based on the analysis result 310 extracted in S1801.
　次に、Ｓ１８０３にて、アラート生成部１８１は、Ｓ１８０２で生成したアラート１７００の提供をアラート提供部１８２に要求する。 Next, in S1803, the alert generation unit 181 requests the alert providing unit 182 to provide the alert 1700 generated in S1802.
＜アラート提供処理＞
　図１９は、第１実施形態におけるアラート提供処理の概要を示すフローチャートである。 <Alert provision processing>
FIG. 19 is a flowchart showing an outline of the alert providing process according to the first embodiment.
　まず、Ｓ１９０１にて、管理サーバ１２０のアラート提供部１８２は、Ｓ１８０３で要求されたアラート１７００の提供リクエストを受け付ける。 First, in S1901, the alert providing unit 182 of the management server 120 receives the request for providing the alert 1700 requested in S1803.
　次に、Ｓ１９０２にて、アラート提供部１８２は、アラート１７００を提供したい事業所ＩＤに対応する事業所情報３００を事業所情報記憶部１３１から抽出する。 Next, in S1902, the alert providing unit 182 extracts the business establishment information 300 corresponding to the business establishment ID to which the alert 1700 is to be provided from the business establishment information storage unit 131.
　次に、Ｓ１９０３にて、アラート提供部１８２は、Ｓ１９０２で抽出したアラート１７００を事業所端末１９０に提供する。 Next, in S1903, the alert providing unit 182 provides the alert 1700 extracted in S1902 to the business terminal 190.
　次に、Ｓ１９０４にて、事業所端末１９０は、Ｓ１９０３で管理サーバ１２０から提供されたアラート１７００を、端末のディスプレイに表示させる。 Next, in S1904, the business office terminal 190 displays the alert 1700 provided by the management server 120 in S1903 on the display of the terminal.
　次に、Ｓ１９０５にて、アラート提供部１８２は、Ｓ１９０２で抽出した事業所情報３００に含まれる所属ユーザＩＤに対応したユーザ情報２００をユーザ情報記憶部１３０から抽出する。 Next, in S1905, the alert providing unit 182 extracts the user information 200 corresponding to the belonging user ID included in the business establishment information 300 extracted in S1902 from the user information storage unit 130.
　次に、Ｓ１９０６にて、アラート提供部１８２は、Ｓ１９０２で抽出したアラート１７００をユーザ端末１１０に提供する。 Next, in S1906, the alert providing unit 182 provides the alert 1700 extracted in S1902 to the user terminal 110.
　次に、Ｓ１９０７にて、ユーザ端末１１０は、Ｓ１９０６で管理サーバ１２０から提供されたアラート１７００を、端末のディスプレイに表示させる。 Next, in S1907, the user terminal 110 displays the alert 1700 provided by the management server 120 in S1906 on the display of the terminal.
　次に、Ｓ１９０８にて、ユーザ端末１１０は、リンク状態が「Ｏｎ」であるか否かを判定する。リンク状態が「Ｏｆｆ」である場合、ユーザ端末１１０は、本行程を終了する。リンク状態が「Ｏｎ」である場合、ユーザ端末１１０は、工程Ｓ１９０９へ進行する。 Next, in S1908, the user terminal 110 determines whether or not the link state is "On". When the link state is "Off", the user terminal 110 ends this process. When the link state is "On", the user terminal 110 proceeds to step S1909.
　Ｓ１９０９にて、ユーザ端末１１０は、提供されたアラート１７００をリンク接続している計測装置１００に送信する。 In S1909, the user terminal 110 transmits the provided alert 1700 to the measuring device 100 linked to the link.
　Ｓ１９１０にて、計測装置１００は、表示部１０１の背景色を所定の色に変化させてアラート１７００を表示させる。 In S1910, the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700.
　このように、計測装置１００は、表示部１０１の背景色を所定の色に変化させてアラート１７００を表示させることにより、ユーザに対し、ユーザの健康についての重篤度・緊急性の高さをより強く印象付けることができる。また、管理サーバ１２０は、事業所端末１９０にアラート１７００を提供することで、世界中の医療機関と随時情報の交換を行い、遠隔診療を速やかに行うことができる。 In this way, the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700, thereby giving the user a high degree of seriousness and urgency regarding the health of the user. You can make a stronger impression. In addition, the management server 120 can exchange information with medical institutions around the world at any time by providing the alert 1700 to the business office terminal 190, and can promptly perform telemedicine.
＜第１実施形態の使用例＞
　続いて、本実施形態における健康サービス提供システムの使用例を説明する。 <Usage example of the first embodiment>
Subsequently, an example of using the health service providing system in this embodiment will be described.
〔活動データの提供〕
　患者等は、計測装置１００を手首に装着する等して、患者等の活動データ２１０を計測する。ユーザ端末１１０は、データ取得処理を行い、活動データ２１０を取得し、管理サーバ１２０に送信する。管理サーバ１２０は、ユーザ情報記憶部１３０に受信した活動データ２１０等を記憶する。 [Provision of activity data]
The patient or the like measures the activity data 210 of the patient or the like by wearing the measuring device 100 on the wrist or the like. The user terminal 110 performs a data acquisition process, acquires activity data 210, and transmits it to the management server 120. The management server 120 stores the activity data 210 and the like received in the user information storage unit 130.
〔活動データの分析〕
　管理サーバ１２０は、活動データ分析処理を行い、ビッグデータ記憶部１３５から平均数値情報９００を抽出し、活動データ２１０と平均数値情報９００とを比較する等して評価４１０及び分析結果３１０を生成する。管理サーバ１２０は、分析結果画面提供処理を行い、分析結果画面１１００を生成する。管理サーバ１２０は、評価４１０及び／又は分析結果３１０が各種の条件を満たす場合、サービス画面１４００の生成をサービス画面生成部１７０に要求する。また、管理サーバ１２０は、分析結果３１０が定められた条件を満たす場合、アラート１７００の生成をアラート生成部１８１に要求する。 [Analysis of activity data]
The management server 120 performs activity data analysis processing, extracts average numerical information 900 from the big data storage unit 135, compares the activity data 210 with the average numerical information 900, and generates evaluation 410 and analysis result 310. .. The management server 120 performs the analysis result screen providing process and generates the analysis result screen 1100. When the evaluation 410 and / or the analysis result 310 satisfy various conditions, the management server 120 requests the service screen generation unit 170 to generate the service screen 1400. Further, the management server 120 requests the alert generation unit 181 to generate the alert 1700 when the analysis result 310 satisfies the predetermined condition.
〔サービス画面等の生成〕
　サービス画面１４００の生成をサービス画面生成部１７０に要求した場合、管理サーバ１２０は、サービス画面提供処理を行い、分析結果３１０、疾患に関する疾患情報、及び／又は疾患情報に対応する提案サービスメニュー等を含むサービス画面１４００を生成する。アラート１７００の生成をアラート生成部１８１に要求した場合、管理サーバ１２０は、疾患情報に関するコメントを含むアラート１７００を生成する。 [Generation of service screen, etc.]
When the service screen generation unit 170 is requested to generate the service screen 1400, the management server 120 performs the service screen provision process, and provides the analysis result 310, the disease information related to the disease, and / or the proposed service menu corresponding to the disease information. Generate a service screen 1400 to include. When the alert generation unit 181 is requested to generate the alert 1700, the management server 120 generates the alert 1700 including the comment regarding the disease information.
〔サービス画面等の表示〕
　ユーザ端末１１０は、管理サーバ１２０による分析結果画面１１００、サービス画面１４００、及び／又はアラート１７００の提供に応じて、提供された分析結果画面１１００、サービス画面１４００、及び／又はアラート１７００をユーザ端末のディスプレイに表示させる。 [Display of service screen, etc.]
The user terminal 110 uses the analysis result screen 1100, the service screen 1400, and / or the alert 1700 provided by the management server 120 in response to the provision of the analysis result screen 1100, the service screen 1400, and / or the alert 1700. Show on the display.
＜第１実施形態の効果＞
　以上説明した本発明の第１実施形態によれば、管理サーバ１２０は、ユーザからの活動データ２１０の取得と同時に活動データ２１０の結果を反映した健康サービスメニューを提供することにより、ユーザの通院や健康診断に伴う時間や労力のコストを低減し、ユーザに日常の健康管理を容易に行わせるための健康サービスを提案することが可能となる。 <Effect of the first embodiment>
According to the first embodiment of the present invention described above, the management server 120 obtains the activity data 210 from the user and at the same time provides a health service menu that reflects the result of the activity data 210, so that the user can go to the hospital or visit the hospital. It is possible to reduce the time and labor costs associated with health examinations and propose health services that facilitate daily health management for users.
　また、日数が経過するにつれてユーザ情報２００の取得に伴うユーザの活動データ２１０の蓄積量が増え、人工知能（ＡＩ）による判定の正確性が向上するため、管理サーバ１２０は、ユーザからの活動データ２１０の取得、分析、その後のサービス画面１４００の提供等を通じて、ユーザの健康管理についてのＰＤＣＡサイクルを効率よく実現できる。 Further, as the number of days elapses, the amount of the user's activity data 210 accumulated with the acquisition of the user information 200 increases, and the accuracy of the determination by the artificial intelligence (AI) improves. Therefore, the management server 120 uses the activity data from the user. The PDCA cycle for user health management can be efficiently realized through the acquisition and analysis of 210 and the subsequent provision of the service screen 1400.
　また、管理サーバ１２０は、ユーザの活動データ２１０の分析を通じ算出した罹患リスク・疾患進行度の重篤度が、例えば、著しく高い場合にアラート１７００を提供し、重篤度に関わらず見守りサービスや薬配達等を提供することにより、ユーザの通院や健康診断に伴う時間や労力のコストを低減しつつ、健康についての重篤度に応じた最適な健康サービスをユーザに提供できる。 In addition, the management server 120 provides an alert 1700 when the severity of the morbidity risk / disease progression calculated through the analysis of the user's activity data 210 is extremely high, for example, and provides a monitoring service regardless of the severity. By providing drug delivery and the like, it is possible to provide the user with the optimum health service according to the severity of health while reducing the time and labor costs associated with the user's hospital visit and health examination.
　管理サーバ１２０において実行される一連の処理により、患者等がユーザ端末１１０を利用して活動データを提供する場合に、このユーザ端末１１０から提供される患者等の活動データ２１０に基づいて生活習慣の分析結果３１０を生成し、生成した分析結果３１０に基づく「罹患リスク」及び／又は「罹患進行度」を含む疾患情報と対応する提案サービスを含むサービス画面１４００を生成できる。したがって、生成したサービス画面１４００を介して、活動データ２１０を反映したサービスを提案できる。 When a patient or the like provides activity data using the user terminal 110 by a series of processes executed on the management server 120, the lifestyle is based on the activity data 210 of the patient or the like provided from the user terminal 110. The analysis result 310 can be generated, and the service screen 1400 including the proposed service corresponding to the disease information including the "morbidity risk" and / or the "morbidity progression" based on the generated analysis result 310 can be generated. Therefore, it is possible to propose a service that reflects the activity data 210 via the generated service screen 1400.
　管理サーバ１２０によれば、活動データ２１０だけでなく、活動データ２１０に基づいて分析された生活習慣をも反映したサービスを提案し得る。さらに、分析結果３１０に基づく疾患情報をも反映したサービスを提案し得る。したがって、活動データ２１０だけでなく、活動データ２１０に基づく各種の情報をも反映したサービスを提案し得る。 According to the management server 120, it is possible to propose a service that reflects not only the activity data 210 but also the lifestyle analyzed based on the activity data 210. Furthermore, it is possible to propose a service that also reflects disease information based on the analysis result 310. Therefore, it is possible to propose a service that reflects not only the activity data 210 but also various information based on the activity data 210.
　人間が活動データを評価する場合、評価の基準となる基準情報を用いなければ、評価する人間の主観や恣意的な判断等が評価に含まれ得る。そのため、人間が基準情報を用いずに行った評価に基づいて疾患情報を生成する場合に、評価に含まれる主観や恣意的な判断等によって疾患情報の客観性に改善の余地があり得る。客観性に改善の余地がある疾患情報に基づいて生成される分析結果もまた、客観性に改善の余地があり得る。 When a human evaluates activity data, the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
　活動データ分析処理において、平均数値情報９００等の基準情報に基づいて活動データ２１０に対する評価を生成するため、評価する人間の主観や恣意的な判断等の影響を抑え得る。したがって、客観性において改善された評価４１０を生成し得る。このように生成された評価４１０に基づいて疾患情報を生成し、生成された疾患情報に基づいて分析結果３１０を生成するため、客観性において改善された分析結果３１０を生成し得る。 In the activity data analysis process, since the evaluation for the activity data 210 is generated based on the reference information such as the average numerical information 900, the influence of the subjective and arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved rating 410 in objectivity. Since the disease information is generated based on the evaluation 410 thus generated and the analysis result 310 is generated based on the generated disease information, the analysis result 310 improved in objectivity can be generated.
　患者等の活動データ２１０が健康状態に問題を抱えている可能性を示唆する場合に、患者等は、健康状態に問題を抱えている可能性について精査する医療サービス、及び／又は健康状態の問題に対応する医療サービス等の有益なサービスをさらに必要とし得る。患者等が何らかの疾患に罹患している可能性がある場合に、患者等は、疾患に罹患している可能性について精査する医療サービス、及び／又は疾患の治療に関する医療サービス等の有益なサービスをさらに必要とし得る。これらの両方の可能性が示唆される場合には、患者等は、有益なサービスをよりいっそう必要とし得る。 If the activity data 210 of the patient or the like suggests that the patient or the like may have a health condition problem, the patient or the like may have a medical service and / or a health condition problem to scrutinize the possibility of having a health condition problem. Further useful services such as medical services corresponding to the above may be required. When a patient may have some kind of illness, the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
　活動データ分析処理において、例えば、評価４１０及び疾患情報が上述の可能性を示している場合に対応する条件等の患者等がサービスをよりいっそう必要とする場合に対応する所定の条件を満たす場合に提案サービスを含むサービス画面１４００の生成をサービス画面生成部１７０に要求するため、患者等がサービスをよりいっそう必要とする場合に、患者等にとって有益なサービスを提案し得る。 In the activity data analysis process, for example, when the predetermined conditions corresponding to the case where the patient or the like corresponds to the case where the evaluation 410 and the disease information indicate the above-mentioned possibility and the like correspond to the above-mentioned possibility are satisfied. Since the service screen generation unit 170 is requested to generate the service screen 1400 including the proposed service, it is possible to propose a service useful for the patient or the like when the patient or the like further needs the service.
　活動データ分析処理において、分析結果３１０に含まれる項目のうちレベル５１０が第二の数値であるサービス生成用項目５１０が存在する場合にアラート１７００の生成をアラート生成部１８１に要求するため、患者等は、何らかの疾患に罹患し得る場合に、ユーザ端末１１０を通じて疾患情報に関する情報を把握し得る。これにより、患者等にとってよりいっそう有益なサービスを提案可能な管理装置を提供できる。 In the activity data analysis process, when there is a service generation item 510 whose level 510 is the second numerical value among the items included in the analysis result 310, the alert generation unit 181 is requested to generate the alert 1700, so that the patient, etc. Can grasp information on disease information through the user terminal 110 when it is possible to suffer from some disease. This makes it possible to provide a management device capable of proposing even more useful services for patients and the like.
　ユーザ端末１１０と管理サーバ１２０とを無線接続可能に構成し得るため、管理サーバ１２０は、管理サーバ１２０とユーザ端末１１０とを有線接続することなく、ユーザ端末１１０から提供される活動データ２１０を取得し得る。これにより、管理サーバ１２０とユーザ端末１１０とを有線接続できない状況であっても活動データ２１０を取得し得る。したがって、患者等からより確実に取得した活動データ２１０等を用いて、患者等にとって有益なサービスを提案可能な管理サーバ１２０を提供できる。 Since the user terminal 110 and the management server 120 can be configured to be wirelessly connectable, the management server 120 acquires the activity data 210 provided by the user terminal 110 without connecting the management server 120 and the user terminal 110 by wire. Can be done. As a result, the activity data 210 can be acquired even in a situation where the management server 120 and the user terminal 110 cannot be connected by wire. Therefore, it is possible to provide the management server 120 capable of proposing a service useful for the patient or the like by using the activity data 210 or the like more reliably acquired from the patient or the like.
＜＜第２実施形態＞＞
　以下、本発明の第２の実施形態について説明する。 << Second Embodiment >>
Hereinafter, a second embodiment of the present invention will be described.
＜管理システム２００１＞
　図２０は、第２実施形態に係る管理システム２００１のハードウェア構成及びソフトウェア構成の一例を示す、ブロック図である。 <Management system 2001>
FIG. 20 is a block diagram showing an example of the hardware configuration and software configuration of the management system 2001 according to the second embodiment.
　管理システム２００１は、少なくとも、管理装置２００２と、管理装置２００２に活動データを提供可能な１以上の計測端末２００３と、管理装置２００２及び計測端末２００３を通信可能に接続するネットワークＮとを含んで構成される。 The management system 2001 includes at least a management device 2002, one or more measurement terminals 2003 capable of providing activity data to the management device 2002, and a network N for communicably connecting the management device 2002 and the measurement terminal 2003. Will be done.
　以下、計測端末２００３を介して活動データを提供する患者や介護施設利用者等を患者等あるいは単に被管理者とも称し、医師、看護師、ケアマネージャー等に例示される管理装置２００２の利用者を医師等あるいは単に利用者とも称する。 Hereinafter, patients and care facility users who provide activity data via the measurement terminal 2003 are also referred to as patients or simply managed persons, and users of the management device 2002 exemplified by doctors, nurses, care managers, etc. are referred to. Also referred to as a doctor or simply a user.
〔管理装置２００２〕
　管理装置２００２は、少なくとも、制御部２０２１、記憶部２０２２、及び通信部２０２３を含んで構成される。 [Management device 2002]
The management device 2002 includes at least a control unit 2021, a storage unit 2022, and a communication unit 2023.
［制御部２０２１］
　制御部２０２１は、ＣＰＵ（Ｃｅｎｔｒａｌ　Ｐｒｏｃｅｓｓｉｎｇ　Ｕｎｉｔ）、ＲＡＭ（Ｒａｎｄｏｍ　Ａｃｃｅｓｓ　Ｍｅｍｏｒｙ）、及びＲＯＭ（Ｒｅａｄ　Ｏｎｌｙ　Ｍｅｍｏｒｙ）等を備える。 [Control unit 2021]
The control unit 2021 includes a CPU (Central Processing Unit), a RAM (Random Access Memory), a ROM (Read Only Memory), and the like.
　制御部２０２１は、所定のプログラムを読み込み、必要に応じて記憶部２０２２及び／又は通信部２０２３と協働することで、管理装置２００２におけるソフトウェア構成の要素である、活動データ受信部２２１１、活動データ分析部２２１２、サービス画面生成部２２１３、通知部２２１４、助言付与部２２１５、及び時系列情報送信部２２１６等を実現する。 The control unit 2021 reads a predetermined program and cooperates with the storage unit 2022 and / or the communication unit 2023 as needed, so that the activity data receiving unit 2211 and the activity data, which are elements of the software configuration in the management device 2002, are used. The analysis unit 2212, the service screen generation unit 2213, the notification unit 2214, the advice giving unit 2215, the time series information transmission unit 2216, and the like are realized.
　必須の態様ではないが、活動データ分析部２２１２は、活動データに関する基準情報に基づいて活動データに関する評価を生成する評価生成部２２１２Ａ（図示せず）、評価に基づいて疾患情報を生成する疾患情報生成部２２１２Ｂ（図示せず）、及び評価及び疾患情報に基づいて分析結果を生成する分析結果生成部２２１２Ｃ（図示せず）を含むことが好ましい。評価生成部２２１２Ａ、疾患情報生成部２２１２Ｂ、及び分析結果生成部２２１２Ｃを含む活動データ分析部２２１２について、後に図２９を用いてより詳細に説明する。 Although not an essential aspect, the activity data analysis unit 2212 generates an evaluation generation unit 2212A (not shown) that generates an evaluation regarding the activity data based on the reference information regarding the activity data, and a disease information that generates the disease information based on the evaluation. It is preferable to include a generation unit 2212B (not shown) and an analysis result generation unit 2212C (not shown) that generates an analysis result based on evaluation and disease information. The activity data analysis unit 2212 including the evaluation generation unit 2212A, the disease information generation unit 2212B, and the analysis result generation unit 2212C will be described in more detail later with reference to FIG. 29.
［記憶部２０２２］
　記憶部２０２２は、データやファイルが記憶される装置であって、ハードディスク、半導体メモリ、記録媒体、及びメモリカード等によるデータのストレージ部を有する。記憶部２０２２は、ネットワークを介してＮＡＳ（Ｎｅｔｗｏｒｋ　Ａｔｔａｃｈｅｄ　Ｓｔｏｒａｇｅ）、ＳＡＮ（Ｓｔｏｒａｇｅ　Ａｒｅａ　Ｎｅｔｗｏｒｋ）、クラウドストレージ、ファイルサーバ及び／又は分散ファイルシステム等の記憶装置又は記憶システムとの接続を可能にする仕組みを有してもよい。 [Storage 2022]
The storage unit 2022 is a device for storing data and files, and has a data storage unit such as a hard disk, a semiconductor memory, a recording medium, and a memory card. The storage unit 2022 has a mechanism that enables connection with a storage device or storage system such as NAS (Network Attached Storage), SAN (Storage Area Network), cloud storage, a file server, and / or a distributed file system via a network. You may have.
　記憶部２０２２には、少なくとも、マイクロコンピューターで実行される制御プログラム、計測端末２００３に関する端末情報を格納する端末情報テーブル２２２１、及び活動データに関する情報を格納する活動データテーブル２２２２等が記憶されている。 The storage unit 2022 stores at least a control program executed by a microcomputer, a terminal information table 2221 that stores terminal information about the measurement terminal 2003, an activity data table 2222 that stores information about activity data, and the like.
（端末情報テーブル２２２１）
　図２１は、端末情報テーブル２２２１の一例を示す図である。図２１に示す端末情報テーブル２２２１には、計測端末２００３を識別可能な「計測端末ＩＤ」と、活動データ受信の可否に関する「受信可否」と、活動データに関する「受信状態」と、最後に活動データを受信した日時に関する「最終受信日時」とが関連付けられて格納されている。 (Terminal information table 2221)
FIG. 21 is a diagram showing an example of the terminal information table 2221. In the terminal information table 2221 shown in FIG. 21, a "measurement terminal ID" that can identify the measurement terminal 2003, a "reception availability" regarding whether or not activity data can be received, a "reception status" regarding activity data, and finally activity data Is stored in association with the "last received date and time" related to the date and time when the data was received.
　計測端末ＩＤを含むことにより、端末情報の取得及び格納が容易になる。受信可否を含むことにより、端末ＩＤによって識別される計測端末２００３から活動データを受信可能であるか否かを判別し得る。受信状態を含むことにより、計測端末ＩＤによって識別される計測端末２００３から活動データを受信済であるか未受信であるかを識別し得る。最終受信日時を含むことにより、活動データを受信してからの経過時間を把握し得る。 By including the measurement terminal ID, it becomes easy to acquire and store the terminal information. By including whether or not reception is possible, it is possible to determine whether or not activity data can be received from the measurement terminal 2003 identified by the terminal ID. By including the reception state, it is possible to identify whether the activity data has been received or not received from the measurement terminal 2003 identified by the measurement terminal ID. By including the last reception date and time, the elapsed time from receiving the activity data can be grasped.
　図２１の端末ＩＤ「Ｃ０００１」には、計測端末ＩＤ「Ｃ０００１」によって識別される計測端末２００３について、活動データの受信可否が「受信可能」であり、活動データの受信状態が「受信済」であり、最終受信日時が２０２０年４月１日１４時であることが格納されている。これにより、計測端末ＩＤ「Ｃ０００１」によって識別される計測端末２００３について、２０２０年４月１日１４時から所定時間が経過するまで活動データを受信する処理を実行しないよう、管理装置２００２を制御し得る。 In the terminal ID "C0001" of FIG. 21, for the measurement terminal 2003 identified by the measurement terminal ID "C0001", whether or not the activity data can be received is "receivable", and the reception status of the activity data is "received". Yes, it is stored that the last reception date and time is 14:00 on April 1, 2020. As a result, the management device 2002 is controlled so that the measurement terminal 2003 identified by the measurement terminal ID "C0001" does not execute the process of receiving the activity data from 14:00 on April 1, 2020 until the predetermined time elapses. obtain.
（活動データテーブル２２２２）
　図２２は、活動データテーブル２２２２の一例を示す図である。図２２に示す活動データテーブル２２２２には、活動データを識別する「活動データＩＤ」と、活動データを提供した計測端末２００３を識別する「計測端末ＩＤ」と、活動データを提供した「患者等」と、活動データが提供された「日時」と、「血圧」、「脈拍」、及び「運動量」を含む「活動データ」とが関連付けられて格納されている。 (Activity data table 2222)
FIG. 22 is a diagram showing an example of the activity data table 2222. In the activity data table 2222 shown in FIG. 22, an "activity data ID" that identifies the activity data, a "measurement terminal ID" that identifies the measurement terminal 2003 that provided the activity data, and a "patient, etc." that provided the activity data. And the "date and time" for which the activity data was provided, and the "activity data" including the "blood pressure", "pulse", and "exercise amount" are stored in association with each other.
　活動データＩＤを含むことにより、活動データの取得及び格納が容易になる。計測端末ＩＤを含むことにより、ある計測端末２００３から提供された活動データを他の計測端末２００３から提供された活動データと取り違えることを防げる。患者等を含むことにより、被管理者から提供された活動データを他の患者等から提供された活動データと取り違えることを防げる。日時を含むことにより、活動データの時系列における変化を把握し得る。活動データを含むことにより、活動データに基づいて生活習慣の分析結果を生成し得る。活動データが血圧を含むことにより、血圧に基づいて生活習慣の分析結果を生成し得る。活動データが脈拍を含むことにより、脈拍に基づいて生活習慣の分析結果を生成し得る。活動データが運動量を含むことにより、運動量に基づいて生活習慣の分析結果を生成し得る。 By including the activity data ID, it becomes easy to acquire and store the activity data. By including the measurement terminal ID, it is possible to prevent the activity data provided by one measurement terminal 2003 from being mistaken for the activity data provided by another measurement terminal 2003. By including patients, etc., it is possible to prevent the activity data provided by the managed person from being mistaken for the activity data provided by other patients, etc. By including the date and time, it is possible to grasp the change in the activity data in the time series. By including the activity data, it is possible to generate the analysis result of the lifestyle based on the activity data. By including the blood pressure in the activity data, it is possible to generate the analysis result of the lifestyle based on the blood pressure. By including the pulse in the activity data, it is possible to generate the analysis result of the lifestyle based on the pulse. By including the amount of exercise in the activity data, it is possible to generate the analysis result of the lifestyle based on the amount of exercise.
　図２２の活動データＩＤ「Ｖ０００１」には、計測端末ＩＤ「Ｃ０００１」によって識別される計測端末２００３から提供された、患者等「山田太郎」に関する２０２０年４月１日１２時における活動データが格納されている。格納された活動データは、患者等である山田太郎について、収縮期血圧（最高血圧とも称する。）が１３０であり、拡張期血圧（最低血圧とも称する。）が７０であり、脈拍が７０であり、運動量が１５８２ｋｃａｌであることを示している。これにより、患者等「山田太郎」の２０２０年４月１日１２時における、血圧・脈拍・運動量を含む活動データを取得し得る。 The activity data ID "V0001" in FIG. 22 stores activity data at 12:00 on April 1, 2020 regarding the patient "Taro Yamada" provided by the measurement terminal 2003 identified by the measurement terminal ID "C0001". Has been done. The stored activity data shows that the patient, etc., Taro Yamada, has a systolic blood pressure (also referred to as systolic blood pressure) of 130, a diastolic blood pressure (also referred to as diastolic blood pressure) of 70, and a pulse of 70. , Shows that the amount of exercise is 1582 kcal. As a result, it is possible to acquire activity data including blood pressure, pulse rate, and amount of exercise of patients, etc. "Taro Yamada" at 12:00 on April 1, 2020.
　また、活動データＩＤ「Ｖ０００２」には、計測端末ＩＤ「Ｃ０００１」によって識別される計測端末２００３から提供された患者等「山田太郎」に関する２０２０年４月１日１３時における活動データが格納されている。すなわち、上述の活動データＩＤ「Ｖ０００１」に格納された活動データと異なる日時における患者等「山田太郎」に関する活動データが格納されている。格納された活動データは、患者等である山田太郎について、収縮期血圧が１４５であり、拡張期血圧が８０であり、脈拍が８５であり、運動量が１６１４ｋｃａｌであることを示している。これらの活動データは、２０２０年４月１日１２時における活動データから変化している。このように、同じ被管理者について、異なる日時における活動データを格納可能であるため、活動データの時系列における変化を把握し得る。 In addition, the activity data ID "V0002" stores activity data at 13:00 on April 1, 2020 regarding the patient "Taro Yamada" provided by the measurement terminal 2003 identified by the measurement terminal ID "C0001". There is. That is, the activity data related to the patient or the like "Taro Yamada" at a date and time different from the activity data stored in the above-mentioned activity data ID "V0001" is stored. The stored activity data shows that the patient, etc., Taro Yamada, has a systolic blood pressure of 145, a diastolic blood pressure of 80, a pulse of 85, and an amount of exercise of 1614 kcal. These activity data have changed from the activity data at 12:00 on April 1, 2020. In this way, since the activity data at different dates and times can be stored for the same managed person, it is possible to grasp the change in the activity data in the time series.
　活動データは、血圧、脈拍、運動量、血糖値、体温、患者等が歩いた歩数、身長、体重、体脂肪率等の患者等の生体データ、摂取カロリー、食事時間等の患者等の食事に関するデータ、及び／又はストレス度等の患者等の精神状態に関するデータ等によって例示される被管理者の活動に関するデータを含む活動データであれば、特に限定されない。 The activity data includes biometric data of the patient such as blood pressure, pulse, exercise amount, blood glucose level, body temperature, number of steps taken by the patient, height, weight, body fat percentage, etc., and data on the patient's diet such as calorie intake and meal time. And / or the activity data including the data on the activity of the managed person exemplified by the data on the mental state of the patient such as the degree of stress is not particularly limited.
　活動データは、患者等の血圧及び脈拍を含むことが好ましい。活動データが患者等の血圧及び脈拍を含むことにより、患者等の血圧及び脈拍に基づいて生活習慣の分析結果を生成し得る。活動データは、患者等の運動量を含むことが好ましい。活動データが患者等の運動量を含むことにより、患者等の運動量に基づいて生活習慣の分析結果を生成し得る。活動データは、患者等が歩いた歩数を含むことが好ましい。活動データが、患者等が歩いた歩数を含むことにより、患者等が歩いた歩数に基づいて生活習慣の分析結果を生成し得る。 The activity data preferably includes the blood pressure and pulse of the patient or the like. By including the blood pressure and pulse of the patient or the like in the activity data, it is possible to generate the analysis result of the lifestyle based on the blood pressure and the pulse of the patient or the like. The activity data preferably includes the amount of exercise of the patient or the like. By including the amount of exercise of the patient or the like in the activity data, it is possible to generate the analysis result of the lifestyle habit based on the amount of exercise of the patient or the like. The activity data preferably includes the number of steps taken by the patient or the like. By including the number of steps taken by the patient or the like in the activity data, it is possible to generate an analysis result of lifestyle habits based on the number of steps taken by the patient or the like.
（基準情報テーブル２２２３）
　記憶部２０２２には、さらに、活動データに関する基準情報を記憶する基準情報テーブル２２２３が格納されることが好ましい。基準情報テーブル２２２３が格納されることにより、基準情報に基づいて活動データに対する評価を生成し得る。基準情報に基づいて活動データに対する評価を生成することについては、後により詳細に説明する。以下、記憶部２０２２は、基準情報テーブル２２２３を格納するものとして説明を行う。 (Reference information table 2223)
It is preferable that the storage unit 2022 further stores the reference information table 2223 for storing the reference information regarding the activity data. By storing the reference information table 2223, it is possible to generate an evaluation for the activity data based on the reference information. Generating assessments for activity data based on reference information will be discussed in more detail later. Hereinafter, the storage unit 2022 will be described as storing the reference information table 2223.
　図２３は、基準情報テーブル２２２３の一例を示す図である。図２３に示す基準情報テーブル２２２３には、基準情報を識別する「基準情報ＩＤ」と、いずれの活動データに対する基準情報であるかを示す「項目」と、項目に関する活動データに対する「基準情報」と、基準情報に基づく「評価」とが関連付けられて格納されている。 FIG. 23 is a diagram showing an example of the reference information table 2223. In the reference information table 2223 shown in FIG. 23, a "reference information ID" for identifying the reference information, an "item" indicating which activity data the reference information is for, and a "reference information" for the activity data related to the item are displayed. , "Evaluation" based on the standard information is stored in association with it.
　基準情報ＩＤを含むことにより、基準情報の取得及び格納が容易になる。項目を含むことにより、活動データが複数の項目を含む場合であっても、それぞれの項目に関する基準情報を提供し得る。基準情報を含むことにより、活動データに対する基準情報を提供し得る。評価を含むことにより、基準情報に基づく活動データの評価を生成し得る。 By including the reference information ID, it becomes easy to acquire and store the reference information. By including the items, even if the activity data includes a plurality of items, it is possible to provide reference information for each item. By including the reference information, the reference information for the activity data can be provided. By including the evaluation, it is possible to generate an evaluation of the activity data based on the reference information.
　基準情報は、活動データに関する基準を示す情報を含んでいれば特に限定されず、活動データが示す値に対して所定の上限を示す基準情報を含んでもよく、活動データが示す値に対して所定の下限を示す基準情報を含んでもよく、活動データが示す値に対して特定の上限と特定の下限を示す基準情報を含んでもよい。活動データが示す値に対する上限及び／又は下限を示す基準情報を含むことにより、活動データが示す値と基準情報が示す上限及び／又は下限との比較によって関連付けられた評価を生成し得る。 The reference information is not particularly limited as long as it includes information indicating a standard regarding the activity data, and may include reference information indicating a predetermined upper limit with respect to the value indicated by the activity data, and is predetermined with respect to the value indicated by the activity data. The reference information indicating the lower limit of the above may be included, and the reference information indicating a specific upper limit and a specific lower limit may be included with respect to the value indicated by the activity data. By including reference information indicating an upper limit and / or a lower limit for the value indicated by the activity data, it is possible to generate an evaluation associated by comparing the value indicated by the activity data with the upper limit and / or the lower limit indicated by the reference information.
　基準情報は、活動データに関する平均値、中央値、最頻値、第１四分位数、及び第３四分位数等によって例示される活動データに関する統計値を含んでもよい。基準情報が活動データに関する統計値を含むことにより、活動データと統計値との比較によって関連付けられた評価を生成し得る。 The reference information may include statistical values related to activity data exemplified by the average value, median value, mode value, first quartile, third quartile, etc. related to activity data. By including the statistical values for the activity data in the reference information, it is possible to generate the evaluation associated by comparing the activity data with the statistical values.
　例えば、図２３の基準情報ＩＤ「Ｒ０００１」には、活動データに関する項目「血圧」に関し、基準情報「収縮期１４０以上、及び／又は拡張期９０以上」と評価「高血圧Ｉ」とを関連付けた情報が格納されている。この情報に基づいて、項目に関する活動データ（この例では、血圧）が基準情報に示す基準（この例では、収縮期血圧１４０以上、及び／又は拡張期血圧９０以上）を満たす場合に、項目及び基準情報と関連付けられた評価（この例では、高血圧Ｉ）を生成し得る。 For example, the reference information ID “R0001” in FIG. 23 is information relating to the reference information “systole 140 or more and / or diastole 90 or more” and the evaluation “hypertension I” regarding the item “blood pressure” related to activity data. Is stored. Based on this information, if the activity data for the item (blood pressure in this example) meets the criteria shown in the reference information (systolic blood pressure 140 or higher and / or diastolic blood pressure 90 or higher in this example), the item and A rating associated with the reference information (hypertension I in this example) can be generated.
（疾患情報テーブル２２２４）
　記憶部２０２２に基準情報テーブル２２２３が格納される場合、記憶部２０２２には、さらに、評価に基づく疾患情報を記憶する疾患情報テーブル２２２４が格納されることが好ましい。疾患情報テーブル２２２４が格納されることにより、基準情報テーブル２２２３に格納された基準情報を用いて生成した評価に基づいて疾患情報を生成し得る。評価に基づいて疾患情報を生成することについては、後により詳細に説明する。 (Disease information table 2224)
When the reference information table 2223 is stored in the storage unit 2022, it is preferable that the storage unit 2022 further stores the disease information table 2224 that stores the disease information based on the evaluation. By storing the disease information table 2224, disease information can be generated based on the evaluation generated using the reference information stored in the reference information table 2223. Generating disease information based on assessment will be described in more detail later.
　図２４は、疾患情報テーブル２２２４の一例を示す図である。図２４に示す疾患情報テーブル２２２４には、疾患情報を識別する「疾患情報ＩＤ」と、評価に関する「評価条件」と、「疾患リスク」及び／又は「疾患進行度」を含む「疾患情報」とが関連付けられて格納されている。 FIG. 24 is a diagram showing an example of the disease information table 2224. The disease information table 2224 shown in FIG. 24 includes a "disease information ID" for identifying disease information, an "evaluation condition" for evaluation, and "disease information" including "disease risk" and / or "disease progression". Is associated and stored.
　疾患情報ＩＤを含むことにより、疾患情報の取得及び格納が容易になる。評価に関する評価条件を含むことにより、評価が条件を満たした場合に該評価に基づく疾患情報を提供し得る。疾患リスク及び／又は疾患進行度を含む疾患情報を含むことにより、評価に基づく疾患情報を生成し得る。 By including the disease information ID, it becomes easy to acquire and store the disease information. By including the evaluation conditions related to the evaluation, disease information based on the evaluation can be provided when the evaluation meets the conditions. Assessment-based disease information can be generated by including disease information including disease risk and / or disease progression.
　評価条件に格納される情報は、基準情報テーブル２２２３に基づく評価に基づいて疾患情報を生成する条件を示すことが可能な情報であれば、特に限定されない。例えば、評価条件に評価を格納し、該評価が生成された場合に関連付けられた疾患情報を生成することを示してもよい。また、例えば、評価条件に所定期間と特定数と評価とを関連付けた情報を格納し、所定期間に評価が生成された回数が特定数以上である場合に関連付けられた疾患情報を生成することを示してもよい。 The information stored in the evaluation conditions is not particularly limited as long as it can indicate the conditions for generating disease information based on the evaluation based on the reference information table 2223. For example, it may be indicated that the evaluation is stored in the evaluation condition and the associated disease information is generated when the evaluation is generated. Further, for example, it is possible to store information relating a predetermined period, a specific number, and an evaluation in an evaluation condition, and generate the associated disease information when the number of times an evaluation is generated in a predetermined period is a specific number or more. May be shown.
　疾患情報は、疾患リスク、及び／又は疾患進行度の少なくとも一方を含む疾患情報であれば特に限定されず、疾患リスクを含んでいてもよく（図２４の疾患情報ＩＤ「Ｄ０００４」等）、疾患進行度を含んでいてもよく（図２４の疾患情報ＩＤ「Ｄ０００１」等）、疾患リスクと疾患進行度の両方を含んでいてもよい（図２４の疾患情報ＩＤ「Ｄ０００３」等）。 The disease information is not particularly limited as long as it is disease information including at least one of a disease risk and / or a disease progression degree, and may include a disease risk (disease information ID “D0004” in FIG. 24, etc.), and a disease. The degree of progression may be included (disease information ID “D0001” in FIG. 24, etc.), and both the risk of disease and the degree of disease progression may be included (disease information ID “D0003”, etc. in FIG. 24).
　例えば、図２４の疾患情報ＩＤ「Ｄ０００１」には、活動データに関する評価条件「高血圧Ｉ」に関し、関連する疾患リスクが格納されていないことを示す「－」と、疾患進行度「Ｉ度高血圧」と、を関連付けた情報が格納されている。この情報に基づいて、活動データに関する評価（この例では、「高血圧Ｉ」）が生成された場合に、評価条件と関連付けられた疾患情報（この例では、疾患進行度「Ｉ度高血圧」を含む疾患情報）を生成し得る。 For example, the disease information ID “D0001” in FIG. 24 has a “−” indicating that the related disease risk is not stored with respect to the evaluation condition “hypertension I” related to the activity data, and the disease progression degree “I degree hypertension”. And, the information associated with is stored. Based on this information, when an assessment of activity data (in this example, "hypertension I") is generated, it includes disease information associated with the assessment criteria (in this example, disease progression "I degree hypertension"). Disease information) can be generated.
　また、図２４の疾患情報ＩＤ「Ｄ０００３」には、活動データに関する評価「１日に３回以上の高血圧Ｉ」と、疾患リスク「高血圧症の疑い強し」と、疾患進行度「Ｉ度高血圧」とを関連付けた情報が格納されている。この情報に基づいて、所定の期間（この例では、「１日」）に活動データに関する評価（この例では、「高血圧Ｉ」）が生成された数が特定数以上（この例では、「３回以上」）である場合に、評価と関連付けられた疾患情報（この例では、疾患リスク「高血圧症の疑い強し」、及び疾患進行度「Ｉ度高血圧」を含む疾患情報）を生成し得る。 In addition, the disease information ID "D0003" in FIG. 24 includes an evaluation of activity data "hypertension I three times or more a day", a disease risk "strong suspicion of hypertension", and a disease progression degree "I degree hypertension". Information associated with and is stored. Based on this information, the number of evaluations related to activity data (“hypertension I” in this example) generated during a predetermined period (“1 day” in this example) is greater than or equal to a specific number (“3” in this example). In the case of "more than once"), disease information associated with the assessment (in this example, disease information including the disease risk "high suspicion of hypertension" and the disease progression "I degree hypertension") can be generated.
（分析結果テーブル２２２５）
　記憶部２０２２には、さらに、活動データ等に基づいて生成され、生成された日時と関連付けられた分析結果を記憶する分析結果テーブル２２２５が格納されることが好ましい。分析結果テーブル２２２５を格納することにより、分析結果の時系列における変化を把握し得る。日時と関連付けられた分析結果に基づく、分析結果の時系列における変化を把握可能な分析結果時系列情報については、後により詳細に説明する。 (Analysis result table 2225)
It is preferable that the storage unit 2022 further stores an analysis result table 2225 that stores the analysis results generated based on the activity data and the like and associated with the generated date and time. By storing the analysis result table 2225, it is possible to grasp the change in the analysis result in the time series. The analysis result time series information that can grasp the change in the analysis result in the time series based on the analysis result associated with the date and time will be described in more detail later.
　図２５は、分析結果テーブル２２２５の一例を示す図である。図２５に示す分析結果テーブル２２２５には、分析結果を識別する「分析結果ＩＤ」と、分析結果と関連付けられた「患者等」と、分析結果が生成された「日時」と、「血圧」、「脈拍」、「運動量」、「評価」、及び「疾患情報」を含む分析結果と、が関連付けられて格納されている。 FIG. 25 is a diagram showing an example of the analysis result table 2225. In the analysis result table 2225 shown in FIG. 25, an “analysis result ID” for identifying the analysis result, a “patient, etc.” associated with the analysis result, a “date and time” for which the analysis result was generated, and a “blood pressure”, Analysis results including "pulse", "exercise amount", "evaluation", and "disease information" are stored in association with each other.
　分析結果ＩＤを含むことにより、分析結果の取得及び格納が容易になる。患者等を含むことにより、患者等と関連付けられた分析結果を他の患者等と関連付けられた分析結果と取り違えることを防げる。日時を含むことにより、分析結果の時系列における変化を把握し得る。疾患情報を有する分析結果を含むことにより、分析結果に基づく疾患情報と対応する提案サービスを含む画面を生成し得る。 By including the analysis result ID, it becomes easy to acquire and store the analysis result. By including the patient, etc., it is possible to prevent the analysis result associated with the patient, etc. from being mistaken for the analysis result associated with another patient, etc. By including the date and time, it is possible to grasp the change in the analysis result in the time series. By including the analysis result having the disease information, it is possible to generate a screen including the disease information based on the analysis result and the corresponding proposal service.
　分析結果は、活動データ、及び疾患情報を含む生活習慣の分析結果であれば、特に限定されず、例えば、活動データテーブル２２２２に格納される各種の活動データ、これら各種の活動データのそれぞれに対する評価、及び／又は評価に基づく疾患情報を含んでよい。分析結果が活動データテーブル２２２２に格納される各種の活動データを含むことにより、これら各種の活動データに対する評価を生成し得る。分析結果が各種の活動データのそれぞれに対する評価を含むことにより、評価に基づく分析結果を生成し得る。分析結果が評価に基づく疾患情報を含むことにより、疾患情報に対応する提案サービスを含む画面を生成し得る。 The analysis result is not particularly limited as long as it is an activity data and a lifestyle analysis result including disease information. For example, various activity data stored in the activity data table 2222 and evaluation of each of these various activity data. , And / or disease information based on the assessment may be included. By including the various activity data stored in the activity data table 2222, the analysis result can generate an evaluation for these various activity data. By including the evaluation of each of the various activity data in the analysis result, the analysis result based on the evaluation can be generated. By including the disease information based on the evaluation in the analysis result, it is possible to generate a screen including the proposal service corresponding to the disease information.
　疾患情報は、分析結果に基づく疾患リスクと疾患進行度との少なくともいずれか一方を含む疾患情報であれば、特に限定されない。疾患情報が分析結果に基づく疾患リスクを含むことにより、疾患リスクと対応するサービスを提案し得る。疾患情報が疾患進行度を含むことにより、疾患進行度と対応するサービスを提案し得る。 The disease information is not particularly limited as long as it includes at least one of the disease risk and the disease progression based on the analysis result. By including the disease risk based on the analysis result in the disease information, it is possible to propose a service corresponding to the disease risk. By including the disease progression in the disease information, it is possible to propose a service corresponding to the disease progression.
　図２５の分析結果ＩＤ「Ａ０００１」には、患者等「山田太郎」の２０２０年４月１日１２時における分析結果が格納されている。分析結果は、患者等である山田太郎について、収縮期血圧が１３０であり、拡張期血圧が７０であり、脈拍が７０であり、運動量が１５８２ｋｃａｌであり、評価及び疾患情報が「－」、すなわち、活動データに関する評価及び疾患情報が生成されていないことを示している。この分析結果が格納されていることにより、患者等である山田太郎の２０２０年４月１日１２時における分析結果と対応する提案サービスを含む画面を生成し得る。 The analysis result ID "A0001" in FIG. 25 stores the analysis result of the patient "Taro Yamada" at 12:00 on April 1, 2020. The analysis results show that the patient, etc., Taro Yamada, has a systolic blood pressure of 130, a diastolic blood pressure of 70, a pulse of 70, an exercise amount of 1582 kcal, and an evaluation and disease information of "-", that is, , Indicates that no assessment or disease information regarding activity data has been generated. By storing this analysis result, it is possible to generate a screen including the analysis result of Taro Yamada, who is a patient, etc. at 12:00 on April 1, 2020, and the corresponding proposal service.
　また、図２５の分析結果ＩＤ「Ａ０００２」には、患者等「山田太郎」の２０２０年４月１日１３時における分析結果が格納されている。分析結果は、患者等である山田太郎について、収縮期血圧が１４５であり、拡張期血圧が８０であり、脈拍が８５であり、運動量が１６１４ｋｃａｌであり、活動データに関する「高血圧Ｉ」との評価と、「Ｉ度高血圧」を示す疾患情報とを有することを示している。この分析結果は、２０２０年４月１日１２時における分析結果から変化している。このように、同じ患者等について、異なる日時における分析結果を格納可能であるため、分析結果の時系列における変化を把握し得る。 In addition, the analysis result ID "A0002" in FIG. 25 stores the analysis result of the patient "Taro Yamada" at 13:00 on April 1, 2020. As a result of the analysis, the systolic blood pressure was 145, the diastolic blood pressure was 80, the pulse was 85, the amount of exercise was 1614 kcal, and the activity data was evaluated as "hypertension I" for Taro Yamada, who is a patient or the like. And the disease information indicating "I degree hypertension". This analysis result has changed from the analysis result at 12:00 on April 1, 2020. In this way, since the analysis results at different dates and times can be stored for the same patient or the like, it is possible to grasp the changes in the analysis results in the time series.
（助言テーブル２２２６）
　記憶部２０２２に分析結果テーブル２２２５が格納される場合、記憶部２０２２には、さらに、分析結果に付与された助言を記憶する助言テーブル２２２６が格納されることが好ましい。助言テーブル２２２６が格納されることにより、分析結果に付与された助言を記憶し得る。分析結果に付与された助言の利用については、後により詳細に説明する。 (Advice table 2226)
When the analysis result table 2225 is stored in the storage unit 2022, it is preferable that the storage unit 2022 further stores the advice table 2226 for storing the advice given to the analysis result. By storing the advice table 2226, the advice given to the analysis result can be stored. The use of the advice given to the analysis results will be explained in more detail later.
　図２６は、助言テーブル２２２６の一例を示す図である。図２６に示す助言テーブル２２２６には、助言を識別する「助言ＩＤ」と、助言を付与した「利用者」を識別可能な情報と、助言が付与された「日時」と、助言と対応付けられた分析結果を識別可能な「分析結果ＩＤ」と、「助言」とが関連付けられて格納されている。これにより、分析結果に付与された助言及び助言が付与された日時を提供し得る。また、分析結果と助言との対応付けである対応情報を提供し得る。 FIG. 26 is a diagram showing an example of the advice table 2226. In the advice table 2226 shown in FIG. 26, the "advice ID" that identifies the advice, the information that can identify the "user" who gave the advice, the "date and time" to which the advice was given, and the advice are associated with each other. The "analysis result ID" that can identify the analysis result and the "advice" are stored in association with each other. Thereby, the advice given to the analysis result and the date and time when the advice was given can be provided. In addition, it is possible to provide correspondence information that is a correspondence between the analysis result and the advice.
　利用者は、管理装置２００２の利用者を識別可能な情報であれば、特に限定されず、例えば、医師、看護師、ケアマネージャー等に例示される医師等を識別可能な情報でよい。分析結果ＩＤは、助言と対応付けられた分析結果を識別可能であれば特に限定されず、例えば、図２５に示した分析結果テーブル２２２５に記憶された分析結果ＩＤと対応する分析結果ＩＤでよい。助言は、分析結果に関する助言であれば、特に限定されず、例えば、分析結果に関する文章を用いた助言、分析結果に関する画像を用いた助言、及び分析結果に関する音声を用いた助言のいずれか１以上を含む助言でよい。 The user is not particularly limited as long as it is information that can identify the user of the management device 2002, and may be, for example, information that can identify a doctor or the like exemplified by a doctor, a nurse, a care manager, or the like. The analysis result ID is not particularly limited as long as the analysis result associated with the advice can be identified. For example, the analysis result ID corresponding to the analysis result ID stored in the analysis result table 2225 shown in FIG. 25 may be used. .. The advice is not particularly limited as long as it is advice on the analysis result, and for example, any one or more of advice using sentences related to the analysis result, advice using images on the analysis result, and advice using voice on the analysis result Any advice, including.
　例えば、図２６の助言ＩＤ「Ｓ０００１」には、利用者「看護師」と、日時「２０２０／０４／０１　１５：００」と、分析結果ＩＤ「Ａ０００２」と、を関連付けた情報が格納されている。この情報に基づいて、図２５に例示した、評価「高血圧Ｉ」及び疾患情報「Ｉ度高血圧」を有する分析結果「Ａ０００２」に看護師が付与した「運動後の一時的なもので、問題ありません。」との助言を取得し、利用し得る。このように、助言テーブル２２２６に分析結果ＩＤと関連付けられた助言を格納することにより、分析結果について、健康管理に関するサービスの提案を必要とするか否か等の判断に活用可能な助言を付与し、利用し得る。 For example, the advice ID “S0001” in FIG. 26 stores information associated with the user “nurse”, the date and time “2020/04/01 15:00”, and the analysis result ID “A0002”. There is. Based on this information, the analysis result "A0002" having the evaluation "hypertension I" and the disease information "I degree hypertension" illustrated in FIG. 25 was given by the nurse as "temporary after exercise, and there is no problem." You can get the advice and use it. In this way, by storing the advice associated with the analysis result ID in the advice table 2226, advice that can be used for determining whether or not a service proposal related to health management is required for the analysis result is given. , Available.
［通信部２０２３］
　図２０に戻る。通信部２０２３は、管理装置２００２を計測端末２００３その他の機器と通信可能にするためのデバイスを有する。デバイスの種類は特に限定されるものでなく、例えばイーサネット規格に対応したネットワークカード、ＩＥＥＥ８０２．１１に準拠したＷｉ－Ｆｉ（Ｗｉｒｅｌｅｓｓ　Ｆｉｄｅｌｉｔｙ）対応デバイス等を有する。通信手段は、特に限定されず、例えば、無線通信や有線通信等の手段で行われる。無線通信プロトコル又は規格は、特に限定されず、例えば、ＩＥＥＥ　８０２．１１　ａ／ｂ／ｇ／ｎ／ａｘ／ｂａ／ＥＨＴ等のＷｉｒｅｌｅｓｓ　Ｆｉｄｅｌｉｔｙ（ＷｉＦｉ）（登録商標）、Ｂｌｕｅｔｏｏｔｈ（登録商標）、近距離無線通信（ＮＦＣ）、ｒａｄｉｏ　ｆｒｅｑｕｅｎｃｙ　ｉｄｅｎｔｉｆｉｅｒ（ＲＦＩＤ）、及び携帯通信（例えば、Ｌｏｎｇ　Ｔｅｒｍ　Ｅｖｏｌｕｔｉｏｎ（ＬＴＥ）、ＬＴＥ－Ａｄｖａｎｃｅｄ（ＬＴＥ－Ａ）、第５世代（５Ｇ））の少なくとも１つが含まれる場合がある。有線通信のためのモジュールとして、例えば、ユニバーサルシリアルバス（ＵＳＢ）、高精細度マルチメディアインターフェイス（ＨＤＭＩ(登録商標)）、Ｒｅｃｏｍｍｅｎｄｅｄ　Ｓｔａｎｄａｒｄ　２３２（ＲＳ－２３２）が挙げられる。 [Communication unit 2023]
Return to FIG. The communication unit 2023 has a device for enabling the management device 2002 to communicate with the measurement terminal 2003 and other devices. The type of device is not particularly limited, and includes, for example, a network card compatible with the Ethernet standard, a Wi-Fi (Wireless Fitness) compatible device conforming to IEEE802.11, and the like. The communication means is not particularly limited, and is performed by, for example, wireless communication or wired communication. The wireless communication protocol or standard is not particularly limited, and for example, Wireless Fidelity (WiFi) (registered trademark), Bluetooth (registered trademark), near, such as IEEE 802.11 a / b / g / n / ax / ba / EHT. When at least one of range radio communication (NFC), radio wifi identifier (RFID), and mobile communication (eg, Long Term Evolution (LTE), LTE-Advanced (LTE-A), 5th generation (5G)) is included. There is. Modules for wired communication include, for example, a universal serial bus (USB), a high definition multimedia interface (HDMI®), and a Recommitted Standard 232 (RS-232).
　必須の態様ではないが、通信部２０２３は、無線通信を可能にする無線デバイスを含み、無線通信によって計測端末２００３と通信可能であることが好ましい。これにより、管理装置２００２は、管理装置２００２と計測端末２００３とを有線接続することなく、計測端末２００３から提供される活動データを取得し得る。これにより、管理装置２００２と計測端末２００３とを有線接続できない状況であっても活動データを取得し得る。したがって、通信部２０２３が無線デバイスを含み、無線通信によって計測端末２００３と通信可能であることにより、患者等からより確実に取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置２００２を提供できる。 Although not an essential aspect, it is preferable that the communication unit 2023 includes a wireless device that enables wireless communication and can communicate with the measurement terminal 2003 by wireless communication. As a result, the management device 2002 can acquire the activity data provided from the measurement terminal 2003 without connecting the management device 2002 and the measurement terminal 2003 by wire. As a result, activity data can be acquired even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire. Therefore, since the communication unit 2023 includes a wireless device and can communicate with the measurement terminal 2003 by wireless communication, it is possible to propose a service useful for the patient or the like by using the activity data or the like more reliably acquired from the patient or the like. A management device 2002 can be provided.
　通信部２０２３が無線デバイスを含む場合、該無線デバイスは、無線通信を用いて同時に接続可能な計測端末２００３の数が所定数以下に制限される無線デバイスでもよい。該無線デバイスが無線通信を用いて同時に接続可能な端末の数が所定数以下に制限される無線デバイスであることにより、無線通信において利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限がある場合でも、無線通信によって計測端末２００３と通信し得る。このような無線デバイスとして、例えば、ＩＥＥＥ　８０２．１１　ａ／ｂ／ｇ／ｎ／ａｘ／ｂａ／ＥＨＴ等のＷｉｒｅｌｅｓｓ　Ｆｉｄｅｌｉｔｙ（ＷｉＦｉ）（登録商標）に対応した無線デバイス、Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイス、近距離無線通信（ＮＦＣ）に対応した無線デバイス等が挙げられる。 When the communication unit 2023 includes a wireless device, the wireless device may be a wireless device in which the number of measurement terminals 2003 that can be simultaneously connected using wireless communication is limited to a predetermined number or less. Since the wireless device is a wireless device in which the number of terminals that can be connected simultaneously using wireless communication is limited to a predetermined number or less, the radio band that can be used in wireless communication is limited, and / or communication used for wireless communication. Even if there are restrictions due to the device, it is possible to communicate with the measuring terminal 2003 by wireless communication. As such a wireless device, for example, it corresponds to Bluetooth (registered trademark), a wireless device compatible with Wi-Fi (WiFi) (registered trademark) such as IEEE 802.11 a / b / g / n / ax / ba / EHT. Examples include wireless devices that support short-range wireless communication (NFC) and wireless devices that support short-range wireless communication (NFC).
　必須の態様ではないが、通信部２０２３は、管理装置２００２と別体に構成された管理装置側無線デバイスＷとネットワークＮを介して接続可能に構成されることが好ましい。管理装置２００２と別体に構成された管理装置側無線デバイスＷとネットワークＮを介して接続可能に構成されることにより、管理装置側無線デバイスＷを管理装置２００２から離れた場所に配置できる。これにより、管理装置２００２から離れた位置にある計測端末２００３から提供される活動データを、管理装置側無線デバイスＷを介して受信し得る。管理装置側無線デバイスＷの数は、特に限定されず、１又は複数の管理装置側無線デバイスＷと接続可能に通信部２０２３を構成してよい。 Although it is not an essential aspect, it is preferable that the communication unit 2023 is configured to be connectable to the management device side wireless device W, which is configured separately from the management device 2002, via the network N. The management device-side wireless device W, which is configured separately from the management device 2002, can be connected to the management device-side wireless device W via the network N, so that the management device-side wireless device W can be arranged at a location away from the management device 2002. As a result, the activity data provided from the measurement terminal 2003 located at a position away from the management device 2002 can be received via the management device side wireless device W. The number of the management device side wireless devices W is not particularly limited, and the communication unit 2023 may be configured so as to be able to connect to one or a plurality of management device side wireless devices W.
〔管理装置側無線デバイスＷ〕
　管理装置側無線デバイスＷは、管理装置２００２と別体に構成され、無線通信によって計測端末２００３と通信可能であれば特に限定されず、通信部２０２３に含まれる無線デバイスと同様に構成してよい。管理装置側無線デバイスＷは、中でも、Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを含むことが好ましい。数メートルから数十メートル程度の近距離での簡易な情報のやりとりに適したＢｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを含むことにより、管理装置側無線デバイスＷと計測端末２００３との距離が数メートルから数十メートル程度の近距離である場合に、管理装置側無線デバイスＷと計測端末２００３とは、電波を使い簡易な情報のやりとりを行う無線通信を行い得る。Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを用いた無線通信は、赤外線通信等より無線通信に用いる電磁波の指向性が少ないため、管理装置側無線デバイスＷに対する計測端末２００３の方向、及び／又は計測端末２００３に対する管理装置側無線デバイスＷの方向による、無線通信への悪影響を軽減し得る。したがって、より多くの状況において、活動データを取得し得る。Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを用いた通信は、パスキーを用いて通信内容を暗号化可能であるため、被管理者でも利用者でもない第三者による活動データの傍受等を防ぎ得る。すなわち、活動データの傍受に関する被管理者の恐れを軽減し、より多くの被管理者から活動データを提供され得る。管理システム２００１が備える管理装置側無線デバイスＷの数は、特に限定されず、１又は複数の管理装置側無線デバイスＷを備える構成でよい。以下、管理システム２００１は、管理装置側無線デバイスＷを含むものとして説明する。 [Wireless device W on the management device side]
The management device side wireless device W is configured separately from the management device 2002, and is not particularly limited as long as it can communicate with the measurement terminal 2003 by wireless communication, and may be configured in the same manner as the wireless device included in the communication unit 2023. .. The management device side wireless device W preferably includes a wireless device compatible with Bluetooth (registered trademark). By including a wireless device compatible with Bluetooth (registered trademark) suitable for simple information exchange at a short distance of several meters to several tens of meters, the distance between the management device side wireless device W and the measurement terminal 2003 is several. When the distance is a short distance of about several tens of meters from a meter, the management device side wireless device W and the measurement terminal 2003 can perform wireless communication for exchanging simple information using radio waves. Since wireless communication using a wireless device compatible with Bluetooth (registered trademark) has less directivity of electromagnetic waves used for wireless communication than infrared communication or the like, the direction and / or measurement of the measurement terminal 2003 with respect to the wireless device W on the management device side. The adverse effect on wireless communication due to the direction of the management device side wireless device W with respect to the terminal 2003 can be reduced. Therefore, in more situations, activity data can be obtained. Communication using a wireless device compatible with Bluetooth (registered trademark) can encrypt the communication content using a passkey, so it is possible to prevent interception of activity data by a third party who is neither the managed person nor the user. .. That is, the fear of the managed person regarding the interception of the activity data can be reduced, and the activity data can be provided by more managed persons. The number of management device-side wireless devices W included in the management system 2001 is not particularly limited, and may be configured to include one or a plurality of management device-side wireless devices W. Hereinafter, the management system 2001 will be described as including the management device side wireless device W.
〔計測端末２００３〕
　計測端末２００３は、管理装置２００２に患者等の活動データを提供可能な端末である。計測端末２００３は、管理装置２００２に患者等の活動データを提供可能な端末であれば特に限定されず、例えば、被管理者の手首に装着されて患者等の活動データを計測し、Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスによって計測端末２００３に無線通信を用いて計測した活動データを提供可能に構成された、スマートバンド、スマートウォッチ等によって例示されるウェアラブル端末が挙げられる。管理システム２００１が備える計測端末２００３の数は、特に限定されず、１又は複数の計測端末２００３を備える構成でよい。計測端末２００３は、血圧計、脈拍計、歩数計、運動量計、体温計、及び／又は血糖値計等によって例示される、被管理者の活動データを計測可能な従来技術の計測器を１以上含むことが好ましい。計測端末２００３が被管理者の活動データを計測可能な従来技術の計測器を１以上含むことにより、患者等の活動データを管理装置２００２に提供できる。 [Measurement terminal 2003]
The measurement terminal 2003 is a terminal capable of providing activity data of a patient or the like to the management device 2002. The measurement terminal 2003 is not particularly limited as long as it is a terminal capable of providing the activity data of the patient or the like to the management device 2002. Examples thereof include wearable terminals exemplified by smart bands, smart watches, etc., which are configured to be able to provide activity data measured by using wireless communication to the measuring terminal 2003 by a wireless device corresponding to the trademark). The number of measurement terminals 2003 included in the management system 2001 is not particularly limited, and may be configured to include one or a plurality of measurement terminals 2003. The measuring terminal 2003 includes one or more conventional measuring instruments capable of measuring the activity data of the managed person, which is exemplified by a sphygmomanometer, a pulse meter, a pedometer, an exercise meter, a thermometer, and / or a blood glucose meter. Is preferable. When the measuring terminal 2003 includes one or more conventional measuring instruments capable of measuring the activity data of the managed person, the activity data of the patient or the like can be provided to the management device 2002.
〔表示端末２００４〕
　必須の態様ではないが、管理システム２００１は、管理装置２００２から分析結果等を受信し、表示可能な表示端末２００４を備えることが好ましい。表示端末２００４を備えることにより、活動データに関する分析結果等を表示するサービスを提案し得る。表示端末２００４は、少なくとも、制御部２０４１、記憶部２０４２、及び通信部２０４３を含んで構成される。表示端末２００４は、特に限定されず、例えば、スマートフォン、タブレット端末等によって例示される、患者等が携帯可能な携帯端末や、スマートバンド、スマートウォッチ等によって例示される、患者等の身体の一部に装着可能なウェアラブル端末等が挙げられる。 [Display terminal 2004]
Although not an essential aspect, it is preferable that the management system 2001 includes a display terminal 2004 capable of receiving and displaying analysis results and the like from the management device 2002. By providing the display terminal 2004, it is possible to propose a service for displaying analysis results and the like related to activity data. The display terminal 2004 includes at least a control unit 2041, a storage unit 2042, and a communication unit 2043. The display terminal 2004 is not particularly limited, and is, for example, a mobile terminal that can be carried by a patient or the like, which is exemplified by a smartphone, a tablet terminal, or the like, or a part of the body of the patient or the like, which is exemplified by a smart band, a smart watch, or the like. Examples include wearable terminals that can be attached to a smartphone.
　必須の態様ではないが、表示端末２００４は、計測部２０４４を含むことが好ましい。表示端末２００４が計測部２０４４を含むことにより、表示端末２００４は、患者等の活動データを取得し、管理装置２００２に提供し得る。 Although not an essential aspect, it is preferable that the display terminal 2004 includes the measurement unit 2044. Since the display terminal 2004 includes the measurement unit 2044, the display terminal 2004 can acquire activity data of a patient or the like and provide the activity data to the management device 2002.
　必須の態様ではないが、表示端末２００４は、表示部２０４５を含むことが好ましい。表示部２０４５を含むことにより、表示端末２００４は、管理装置２００２から提案サービス画面、分析結果時系列情報、及び／又は助言等を受信し、表示部２０４５に表示し得る。表示部２０４５を用いた提案サービス画面等の表示については、後により詳細に説明する。 Although not an essential aspect, the display terminal 2004 preferably includes a display unit 2045. By including the display unit 2045, the display terminal 2004 can receive the proposal service screen, the analysis result time series information, and / or the advice and the like from the management device 2002 and display them on the display unit 2045. The display of the proposed service screen or the like using the display unit 2045 will be described in more detail later.
　必須の態様ではないが、表示端末２００４が表示部２０４５を含む場合、表示端末２００４は、入力部（図示せず）を含むことが好ましい。入力部を含むことにより、表示端末２００４を利用する被管理者等は、入力部を介して管理装置２００２に提案サービス画面の送信、分析結果時系列情報の送信、及び／又は助言の送信等を指令し得る。また、表示端末２００４を利用する被管理者等は、入力部を介して複数の助言のうちいずれか１以上を指定し得る。表示端末２００４を利用する被管理者等が入力部を介して複数の助言のうちいずれか１以上を指定することについては、後により詳細に説明する。 Although not an essential aspect, when the display terminal 2004 includes the display unit 2045, it is preferable that the display terminal 2004 includes an input unit (not shown). By including the input unit, the managed person or the like who uses the display terminal 2004 transmits the proposal service screen, the analysis result time series information, and / or the advice to the management device 2002 via the input unit. Can command. In addition, the managed person or the like using the display terminal 2004 may specify any one or more of the plurality of advices via the input unit. The fact that the managed person or the like using the display terminal 2004 specifies any one or more of the plurality of advices via the input unit will be described in more detail later.
［制御部２０４１］
　制御部２０４１のハードウェア構成は、制御部２０２１と同様である。制御部２０４１は、所定のプログラムを読み込み、必要に応じて記憶部２０４２、通信部２０４３、計測部２０４４、表示部２０４５、及び／又は入力部と協働することで、表示端末２００４におけるソフトウェア構成の要素である、分析結果受信部２４１１、助言受信部２４１２、及び表示制御部２４１３等を実現する。 [Control unit 2041]
The hardware configuration of the control unit 2041 is the same as that of the control unit 2021. The control unit 2041 reads a predetermined program and cooperates with the storage unit 2042, the communication unit 2043, the measurement unit 2044, the display unit 2045, and / or the input unit as necessary to configure the software configuration in the display terminal 2004. The elements such as the analysis result receiving unit 2411, the advice receiving unit 2412, and the display control unit 2413 are realized.
［記憶部２０４２］
　記憶部２０４２のハードウェア構成は、記憶部２０２２と同様である。記憶部２０４２には、少なくとも、マイクロコンピューターで実行される制御プログラム等が記憶されている。 [Storage 2042]
The hardware configuration of the storage unit 2042 is the same as that of the storage unit 2022. The storage unit 2042 stores at least a control program or the like executed by the microcomputer.
［通信部２０４３］
　通信部２０４３のハードウェア構成は、通信部２０２３と同様である。 [Communication unit 2043]
The hardware configuration of the communication unit 2043 is the same as that of the communication unit 2023.
　必須の態様ではないが、通信部２０４３は、無線通信を可能にする無線デバイスを含み、無線通信によって管理装置２００２と通信可能であることが好ましい。これにより、表示端末２００４は、管理装置２００２と表示端末２００４とを有線接続することなく、管理装置２００２に活動データを提供し得る。これにより、管理装置２００２と計測端末２００３とを有線接続できない状況であっても活動データを提供し得る。 Although not an essential aspect, it is preferable that the communication unit 2043 includes a wireless device that enables wireless communication and can communicate with the management device 2002 by wireless communication. As a result, the display terminal 2004 can provide the activity data to the management device 2002 without connecting the management device 2002 and the display terminal 2004 by wire. As a result, activity data can be provided even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire.
　管理装置２００２の通信部２０２３が管理装置２００２と別体に構成された管理装置側無線デバイスＷとネットワークＮを介して接続可能に構成される場合、通信部２０４３は、Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを含むことが好ましい。近距離での簡易な情報のやりとりに適したＢｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを含むことにより、管理装置側無線デバイスＷと計測端末２００３との距離が数メートルから数十メートル程度の場合に、管理装置側無線デバイスＷと計測端末２００３とは、電波を使い簡易な情報のやりとりを行う無線通信を行い得る。Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを用いた無線通信は、赤外線通信等より無線通信に用いる電磁波の指向性が少ないため、管理装置側無線デバイスＷに対する計測端末２００３の方向、及び／又は計測端末２００３に対する管理装置側無線デバイスＷの方向による、無線通信への悪影響を軽減し得る。したがって、より多くの状況において、活動データを提供し得る。Ｂｌｕｅｔｏｏｔｈ（登録商標）に対応した無線デバイスを用いた通信は、パスキーを用いて通信内容を暗号化可能であるため、被管理者でも利用者でもない第三者による活動データの傍受等を防ぎ得る。すなわち、活動データの傍受に関する被管理者の恐れを軽減し、より多くの被管理者からの活動データを提供し得る。 When the communication unit 2023 of the management device 2002 is configured to be connectable via the network N to the management device side wireless device W configured separately from the management device 2002, the communication unit 2043 corresponds to Bluetooth (registered trademark). It is preferable to include the wireless device. When the distance between the wireless device W on the management device side and the measurement terminal 2003 is about several meters to several tens of meters by including a wireless device compatible with Bluetooth (registered trademark) suitable for simple information exchange at a short distance. In addition, the management device side wireless device W and the measurement terminal 2003 can perform wireless communication for exchanging simple information using radio waves. Since wireless communication using a wireless device compatible with Bluetooth (registered trademark) has less directivity of electromagnetic waves used for wireless communication than infrared communication or the like, the direction and / or measurement of the measurement terminal 2003 with respect to the wireless device W on the management device side. The adverse effect on wireless communication due to the direction of the management device side wireless device W with respect to the terminal 2003 can be reduced. Therefore, activity data may be provided in more situations. Communication using a wireless device compatible with Bluetooth (registered trademark) can encrypt the communication content using a passkey, so it is possible to prevent interception of activity data by a third party who is neither the managed person nor the user. .. That is, it is possible to reduce the fear of the managed person regarding the interception of the activity data and provide the activity data from more managed persons.
［計測部２０４４］
　計測部２０４４は、被管理者の活動データを取得可能な計測部であれば、特に限定されず、血圧計、脈拍計、歩数計、運動量計、体温計、及び／又は血糖値計等によって例示される、被管理者の活動データを計測可能な従来技術の計測器を１以上含む計測部でよい。 [Measurement unit 2044]
The measuring unit 2044 is not particularly limited as long as it is a measuring unit capable of acquiring activity data of the managed person, and is exemplified by a blood pressure meter, a pulse meter, a pedometer, an exercise meter, a thermometer, and / or a glucose meter. It may be a measuring unit including one or more conventional measuring instruments capable of measuring the activity data of the managed person.
　計測部２０４４は、異なる日時において被管理者の活動データを計測し、計測した活動データの時系列情報を記憶可能に構成されていることが好ましい。計測部２０４４が異なる日時において被管理者の活動データを計測し、計測した活動データの時系列情報を記憶可能に構成されていることにより、管理装置２００２等からの指令に応じて、指令を行った管理装置２００２等に活動データの時系列情報を提供し得る。これにより、管理装置２００２と計測端末２００３との間の通信回数を減らし得る。通信回数を減らし得るため、複数の計測端末２００３が無線通信によって管理装置２００２に活動データを提供する場合、無線通信に用いる通信帯域の利用を抑え、他の計測端末２００３から管理装置２００２への活動データの提供を容易にする効果も期待し得る。 It is preferable that the measurement unit 2044 is configured to measure the activity data of the managed person at different dates and times and to store the time series information of the measured activity data. The measurement unit 2044 measures the activity data of the managed person at different dates and times, and the time-series information of the measured activity data can be stored so that the measurement unit 2044 issues a command in response to a command from the management device 2002 or the like. It is possible to provide time-series information of activity data to the management device 2002 and the like. As a result, the number of communications between the management device 2002 and the measurement terminal 2003 can be reduced. In order to reduce the number of communications, when a plurality of measurement terminals 2003 provide activity data to the management device 2002 by wireless communication, the use of the communication band used for wireless communication is suppressed, and the activity from the other measurement terminals 2003 to the management device 2002. The effect of facilitating the provision of data can also be expected.
［表示部２０４５］
　表示部２０４５の種類は、後述する分析結果時系列情報及び／又は助言を表示可能であれば特に限定されず、例えば、モニタ、タッチパネル、プロジェクタ等が挙げられる。 [Display unit 2045]
The type of the display unit 2045 is not particularly limited as long as it can display the analysis result time series information and / or advice described later, and examples thereof include a monitor, a touch panel, and a projector.
［入力部］
　入力部の種類は、複数の助言のうちいずれか１以上を指定可能であれば特に限定されず、例えば、タッチパネル、ソフトウェアキーボード、音声を認識するマイク、外部の装置から入力を受信する通信デバイス、キーボード、マウス等が挙げられる。 [Input section]
The type of input unit is not particularly limited as long as one or more of a plurality of advices can be specified, for example, a touch panel, a software keyboard, a microphone that recognizes voice, a communication device that receives input from an external device, and the like. Examples include a keyboard and a mouse.
［ネットワークＮ］
　ネットワークＮの種類は、管理装置２００２と計測端末２００３とを通信可能に接続するネットワークであれば特に限定されず、例えば、パーソナルエリアネットワーク、ローカルエリアネットワーク、イントラネット、エクストラネット、インターネット、Ｗｉ－Ｆｉネットワーク、ユニバーサル・シリアル・バス（ＵＳＢ）に準拠したバスネットワーク、あるいはこれらを含むネットワークを複数組み合わせたネットワーク等が挙げられる。 [Network N]
The type of network N is not particularly limited as long as it is a network that connects the management device 2002 and the measurement terminal 2003 so as to be communicable. For example, a personal area network, a local area network, an intranet, an extranet, the Internet, or a Wi-Fi network. , A bus network compliant with the universal serial bus (USB), or a network in which a plurality of networks including these are combined.
　ネットワークＮは、無線通信可能なネットワークを含むことが好ましい。ネットワークＮが無線通信可能なネットワークを含むことにより、管理装置２００２と計測端末２００３とを有線接続することなく、管理装置２００２と計測端末２００３との間における活動データの提供が行われ得る。これにより、管理装置２００２と計測端末２００３とを有線接続できない状況であっても、活動データの提供が行われ得る。 The network N preferably includes a network capable of wireless communication. Since the network N includes a network capable of wireless communication, activity data can be provided between the management device 2002 and the measurement terminal 2003 without connecting the management device 2002 and the measurement terminal 2003 by wire. As a result, activity data can be provided even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire.
〔健康管理処理のメインフローチャート〕
　図２７は、管理装置２００２で実行される健康管理処理の一例を示すメインフローチャートである。以下では、図２７を参照しながら、管理装置２００２で行われる健康管理処理の好ましい手順について説明する。 [Main flowchart of health management process]
FIG. 27 is a main flowchart showing an example of the health management process executed by the management device 2002. In the following, a preferable procedure of the health management process performed by the management device 2002 will be described with reference to FIG. 27.
［ステップＳ２０１０：活動データ受信処理］
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、計測端末２００３から活動データを受信する活動データ受信処理を行う（ステップＳ２０１０）。制御部２０２１は、処理をステップＳ２０２０に移す。ステップＳ２０１０において行われる活動データ受信処理の好ましい手順について、後に図２８を用いてより詳細に説明する。 [Step S2010: Activity data reception process]
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and performs an activity data reception process for receiving the activity data from the measurement terminal 2003 (step S2010). The control unit 2021 shifts the process to step S2020. The preferred procedure of the activity data reception process performed in step S2010 will be described in more detail later with reference to FIG. 28.
　活動データ受信部２２１１を実行し、計測端末２００３から活動データを受信する活動データ受信処理を行うことにより、計測端末２００３から活動データを受信し得る。 By executing the activity data receiving unit 2211 and performing the activity data receiving process of receiving the activity data from the measuring terminal 2003, the activity data can be received from the measuring terminal 2003.
［ステップＳ２０２０：活動データ分析処理］
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２を実行し、ステップＳ２０１０において受信した活動データを分析し、活動データに基づく分析結果等を生成する活動データ分析処理を行う（ステップＳ２０２０）。制御部２０２１は、処理をステップＳ２０３０に移す。ステップＳ２０２０において行われる活動データ分析処理の好ましい手順について、後に図２９を用いてより詳細に説明する。 [Step S2020: Activity data analysis process]
The control unit 2021 executes the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, analyzes the activity data received in step S2010, and generates an analysis result based on the activity data. Perform the process (step S2020). The control unit 2021 shifts the process to step S2030. A preferred procedure for the activity data analysis process performed in step S2020 will be described in more detail later with reference to FIG.
　活動データ分析処理を行うことにより、患者等が計測端末２００３を利用して活動データを提供する場合に、この計測端末２００３から提供される患者等の活動データに基づいて生活習慣の分析結果を生成し得る。 By performing activity data analysis processing, when a patient or the like provides activity data using the measurement terminal 2003, a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the measurement terminal 2003. Can be done.
［ステップＳ２０３０：サービス画面生成処理］
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働してサービス画面生成部２２１３を実行し、ステップＳ２０２０において生成した分析結果等に基づく提案サービスを含む提案サービス画面を生成するサービス画面生成処理を行う（ステップＳ２０３０）。制御部２０２１は、処理をステップＳ２０１０に移し、ステップＳ２０１０からステップＳ２０３０を繰り返す。ステップＳ２０３０において行われるサービス画面生成処理の好ましい手順について、後に図３０を用いてより詳細に説明する。 [Step S2030: Service screen generation process]
The control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and generates a service screen generation process including a proposal service including a proposal service based on the analysis result generated in step S2020. (Step S2030). The control unit 2021 shifts the process to step S2010, and repeats steps S2010 to S2030. A preferred procedure for the service screen generation process performed in step S2030 will be described in more detail later with reference to FIG.
　サービス画面生成処理を行うことにより、患者等が計測端末２００３を利用して活動データを提供する場合に、この計測端末２００３から提供される患者等の活動データに基づいて生成した分析結果に基づく疾患情報と対応する提案サービスを含む画面を生成し得る。したがって、生成した画面を介して、活動データを反映したサービスを提案し得る。また、活動データだけでなく、活動データに基づいて分析された生活習慣をも反映したサービスを提案し得る。したがって、活動データだけでなく、活動データに基づく各種の情報をも反映したサービスを提案し得る。 When a patient or the like provides activity data using the measurement terminal 2003 by performing the service screen generation process, a disease based on the analysis result generated based on the activity data of the patient or the like provided from the measurement terminal 2003. A screen containing information and corresponding proposed services can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen. In addition, it is possible to propose a service that reflects not only activity data but also lifestyle habits analyzed based on activity data. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
［活動データ受信処理］
　図２８は、管理装置２００２で実行される活動データ受信処理の一例を示すフローチャートである。以下、図２８を用いて、図２７のステップＳ２０１０で行われる活動データ受信処理の好ましい手順について説明する。 [Activity data reception processing]
FIG. 28 is a flowchart showing an example of the activity data reception process executed by the management device 2002. Hereinafter, a preferable procedure of the activity data reception process performed in step S2010 of FIG. 27 will be described with reference to FIG. 28.
（ステップＳ２０１１：接続可能な計測端末があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、接続可能な計測端末２００３があるか否かを判別する処理を行う（ステップＳ２０１１）。接続可能な計測端末２００３があるならば、制御部２０２１は、処理をステップＳ２０１２に移す。接続可能な計測端末２００３がないならば、制御部２０２１は、活動データ受信処理を終了し、処理をステップＳ２０２０に移す。 (Step S2011: Determining whether or not there is a measurement terminal that can be connected)
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is a connectable measurement terminal 2003 (step S2011). If there is a connectable measuring terminal 2003, the control unit 2021 shifts the process to step S2012. If there is no connectable measurement terminal 2003, the control unit 2021 ends the activity data reception process and shifts the process to step S2020.
　接続可能な計測端末２００３があるか否かを判別する処理を行うことにより、接続可能な計測端末２００３がある場合にのみ、制御部２０２１は、計測端末２００３から提供される活動データを受信する処理を実行できる。これにより、接続可能な計測端末２００３がない場合に、制御部２０２１等に活動データを受信する処理に関する負荷が生じることを軽減し得る。 By performing a process of determining whether or not there is a connectable measurement terminal 2003, the control unit 2021 receives the activity data provided from the measurement terminal 2003 only when there is a connectable measurement terminal 2003. Can be executed. As a result, when there is no connectable measurement terminal 2003, it is possible to reduce the load on the control unit 2021 and the like related to the process of receiving the activity data.
（ステップＳ２０１２：活動データを受信可能な計測端末があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、接続可能な計測端末２００３について、端末情報テーブル２２２１を参照し、活動データを受信可能な計測端末２００３があるか否かを判別する処理を行う（ステップＳ２０１２）。 (Step S2012: Determining whether or not there is a measurement terminal capable of receiving activity data)
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, refers to the terminal information table 2221 for the connectable measurement terminal 2003, and is a measurement terminal capable of receiving the activity data. A process for determining whether or not there is 2003 is performed (step S2012).
　端末情報テーブル２２２１を参照し、活動データを受信可能な計測端末２００３があるか否かを判別する手段は、特に限定されず、例えば、端末情報テーブル２２２１に格納された受信可否が「受信可能」であり、かつ、受信状態が「未受信」である端末ＩＤによって識別される計測端末２００３があるか否かを判別する手段等でよい。 The means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is not particularly limited, and for example, the reception availability stored in the terminal information table 2221 is "receivable". It may be a means for determining whether or not there is a measurement terminal 2003 identified by a terminal ID whose reception state is “not received”.
　無線通信では、無線通信において利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限等によって無線通信を用いて同時に接続可能な計測端末２００３の数が比較的少ない数に制限され得る。無線通信による接続において接続対象となる計測端末２００３の総数が同時に接続可能な計測端末２００３の数より多い場合、同時に接続可能な計測端末２００３の数の制限により、管理装置２００２は、接続対象となる計測端末２００３のすべてと同時に接続できず、同時に接続されなかった計測端末２００３から活動データを受信できない可能性がある。 In wireless communication, the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a relatively small number due to restrictions on the radio band that can be used in wireless communication and / or restrictions by communication devices used for wireless communication. obtain. When the total number of measurement terminals 2003 to be connected in the wireless communication connection is larger than the number of measurement terminals 2003 that can be connected at the same time, the management device 2002 becomes the connection target due to the limitation of the number of measurement terminals 2003 that can be connected at the same time. It is possible that all of the measurement terminals 2003 cannot be connected at the same time, and activity data cannot be received from the measurement terminals 2003 that are not connected at the same time.
　端末情報テーブル２２２１を参照し、活動データを受信可能な計測端末２００３があるか否かを判別する手段が端末情報テーブル２２２１に格納された受信可否が「受信可能」であり、かつ、受信状態が「未受信」である端末ＩＤによって識別される計測端末２００３があるか否かを判別する手段であることにより、活動データの送信元であった計測端末２００３（受信状態が「受信済」である端末ＩＤによって識別される計測端末２００３）と、活動データの送信元であった計測端末２００３と異なる計測端末２００３（受信状態が「未受信」である端末ＩＤによって識別される計測端末２００３）とを判別できる。これにより、利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限等によって無線通信を用いて同時に接続可能な計測端末２００３の数が計測端末２００３の総数より少ない所定数に制限される場合でも、活動データの送信元であった計測端末２００３と異なる計測端末２００３があるか否かを判別し、活動データの送信元であった計測端末２００３と異なる計測端末２００３から活動データを受信し得る。 The means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is that the reception availability stored in the terminal information table 2221 is "receivable" and the reception status is By means of determining whether or not there is a measurement terminal 2003 identified by a terminal ID that is "not received", the measurement terminal 2003 that was the source of the activity data (the reception state is "received"). The measurement terminal 2003 identified by the terminal ID) and the measurement terminal 2003 (measurement terminal 2003 identified by the terminal ID whose reception status is "not received") different from the measurement terminal 2003 that was the source of the activity data. Can be identified. As a result, the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a predetermined number that is smaller than the total number of measurement terminals 2003 due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even if this is done, it is determined whether or not there is a measurement terminal 2003 that is different from the measurement terminal 2003 that was the source of the activity data, and the activity data is output from the measurement terminal 2003 that is different from the measurement terminal 2003 that was the source of the activity data. Can be received.
　活動データを受信可能な計測端末２００３があるならば、制御部２０２１は、処理をステップＳ２０１３に移す。活動データを受信可能な計測端末２００３がないならば、制御部２０２１は、処理をステップＳ２０１４に移す。 If there is a measurement terminal 2003 capable of receiving activity data, the control unit 2021 shifts the process to step S2013. If there is no measuring terminal 2003 capable of receiving the activity data, the control unit 2021 shifts the process to step S2014.
（ステップＳ２０１３：活動データを受信可能な所定数以下の計測端末から活動データを受信）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、接続可能かつ活動データを受信可能な計測端末２００３について、所定数以下の計測端末２００３から活動データを受信し、端末情報テーブル２２２１に格納された受信状態を「受信済」に変更し、最終受信日時を現在の日時に変更する処理を行う（ステップＳ２０１３）。制御部２０２１は、処理をステップＳ２０１６に移す。 (Step S2013: Activity data is received from a predetermined number or less of measurement terminals that can receive activity data)
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and for the measurement terminals 2003 that can be connected and can receive the activity data, the activity data is transmitted from the measurement terminals 2003 of a predetermined number or less. Is received, the reception status stored in the terminal information table 2221 is changed to "received", and the last reception date and time is changed to the current date and time (step S2013). The control unit 2021 shifts the process to step S2016.
　接続可能かつ活動データを受信可能な計測端末２００３について、所定数以下の計測端末２００３から活動データを受信する処理を行うことにより、管理装置２００２は、活動データを受信可能な計測端末２００３、例えば、活動データの送信元であった計測端末２００３と異なる計測端末２００３から活動データを受信し得る。これにより、利用可能な電波帯域に関する制限、及び／又は無線通信に用いる通信デバイスによる制限等によって無線通信を用いて同時に接続可能な計測端末２００３の数が計測端末２００３の総数より少ない所定数に制限される場合でも、所定数を上回る数の計測端末２００３から活動データを受信し得る。したがって、活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 By performing a process of receiving activity data from a predetermined number or less of the measurement terminals 2003 for the measurement terminals 2003 that can be connected and can receive the activity data, the management device 2002 can receive the activity data, for example, the measurement terminals 2003. The activity data can be received from the measurement terminal 2003 which is different from the measurement terminal 2003 which was the transmission source of the activity data. As a result, the number of measurement terminals 2003 that can be connected simultaneously using wireless communication is limited to a predetermined number that is smaller than the total number of measurement terminals 2003 due to restrictions on the available radio band and / or restrictions by the communication device used for wireless communication. Even if this is done, activity data can be received from a number of measurement terminals 2003 that exceeds a predetermined number. Therefore, it is possible to receive the activity data more reliably and propose a service based on the activity data.
　活動データを受信した計測端末２００３について、端末情報テーブル２２２１に格納された受信状態を「受信済」に変更する処理を行うことにより、活動データの送信元であった計測端末２００３を判別可能とし得る。接続可能かつ活動データを受信可能な計測端末２００３について、端末情報テーブル２２２１に格納された最終受信日時を現在の日時に変更処理を行うことにより、該計測端末２００３から活動データを最後に受信した日時を取得し得る。 By performing a process of changing the reception state stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it is possible to determine the measurement terminal 2003 that was the source of the activity data. .. For the measurement terminal 2003 that can be connected and can receive activity data, the date and time when the activity data was last received from the measurement terminal 2003 by changing the last reception date and time stored in the terminal information table 2221 to the current date and time. Can be obtained.
　必須の態様ではないが、データ受信処理は、ステップＳ２０１４及びステップＳ２０１５によって実現される、活動データの受信から所定時間が経過した所定数以下の計測端末２００３から活動データを受信する処理を含むことが好ましい。これにより、活動データを受信した計測端末２００３について、所定時間が経過した場合に、活動データの受信を開始及び／又は完了した後に該計測端末２００３が提供可能となった活動データを受信し得る。 Although not an essential aspect, the data reception process may include a process of receiving activity data from a predetermined number or less of measurement terminals 2003 in which a predetermined time has passed since the activity data was received, which is realized by step S2014 and step S2015. preferable. As a result, with respect to the measurement terminal 2003 that has received the activity data, when the predetermined time elapses, the activity data that can be provided by the measurement terminal 2003 can be received after the reception of the activity data is started and / or completed.
（ステップＳ２０１４：受信から所定時間が経過した計測端末があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、接続可能な計測端末２００３について、受信から所定時間が経過した計測端末２００３があるか否かを判別する処理を行う（ステップＳ２０１４）。受信から所定時間が経過した計測端末２００３があるならば、制御部２０２１は、処理をステップＳ２０１５に移す。受信から所定時間が経過した計測端末２００３がないならば、制御部２０２１は、活動データ受信処理を終了し、処理をステップＳ２０２０に移す。 (Step S2014: Determining whether or not there is a measurement terminal for which a predetermined time has passed since reception)
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and determines whether or not there is a measurement terminal 2003 for which a predetermined time has passed from the reception of the connectable measurement terminal 2003. Perform the determination process (step S2014). If there is a measurement terminal 2003 for which a predetermined time has passed since the reception, the control unit 2021 shifts the process to step S2015. If there is no measurement terminal 2003 for which a predetermined time has passed since the reception, the control unit 2021 ends the activity data reception process and shifts the process to step S2020.
　計測端末２００３は、管理装置２００２に活動データを提供した後も、活動データを計測及び蓄積し得る。したがって、管理装置２００２に活動データを提供した後も、管理装置２００２に提供されていない活動データが存在し得る。活動データの送信元であった計測端末２００３とは異なる計測端末２００３から活動データを受信する場合、活動データを提供した後に計測端末２００３が計測及び蓄積した活動データを受信できない可能性がある。 The measurement terminal 2003 can measure and store the activity data even after the activity data is provided to the management device 2002. Therefore, even after the activity data is provided to the management device 2002, there may be activity data that is not provided to the management device 2002. When the activity data is received from the measurement terminal 2003 different from the measurement terminal 2003 which was the transmission source of the activity data, there is a possibility that the measurement terminal 2003 cannot receive the activity data measured and accumulated after the activity data is provided.
　接続可能な計測端末２００３について、受信から所定時間が経過した計測端末２００３があるか否かを判別する処理を行うことにより、活動データを受信した計測端末２００３について、所定時間が経過した場合に、管理装置２００２は、活動データの受信を開始及び／又は完了した後に該計測端末２００３が提供可能となった活動データを受信し得る。したがって、活動データを提供した後に該計測端末２００３が提供可能となった活動データをより確実に受信し、活動データに基づくサービスを提案し得る。接続可能な計測端末２００３について、受信から所定時間が経過した計測端末２００３があるか否かを判別する処理は特に限定されず、端末情報テーブル２２２１に格納された端末ＩＤそれぞれについて、端末ＩＤと関連付けられた最終受信日時と現在時刻とを比較することで、受信から所定時間が経過した計測端末２００３があるか否かを判別する処理等でよい。 When the predetermined time elapses for the measurement terminal 2003 that has received the activity data by performing the process of determining whether or not there is the measurement terminal 2003 for which the predetermined time has elapsed from the reception of the connectable measurement terminal 2003, The management device 2002 may receive the activity data that can be provided by the measurement terminal 2003 after the reception of the activity data is started and / or completed. Therefore, after providing the activity data, the measurement terminal 2003 can more reliably receive the activity data that can be provided, and can propose a service based on the activity data. Regarding the connectable measurement terminal 2003, the process of determining whether or not there is a measurement terminal 2003 for which a predetermined time has passed since reception is not particularly limited, and each terminal ID stored in the terminal information table 2221 is associated with the terminal ID. By comparing the received last reception date and time with the current time, it may be a process of determining whether or not there is a measurement terminal 2003 in which a predetermined time has passed since the reception.
（ステップＳ２０１５：受信から所定時間が経過した所定数以下の計測端末から活動データを受信）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ受信部２２１１を実行し、接続可能かつ受信から所定時間が経過した計測端末２００３について、所定数以下の計測端末２００３から活動データを受信し、端末情報テーブル２２２１に格納された受信状態を「受信済」に変更し、最終受信日時を現在の日時に変更する処理を行う（ステップＳ２０１５）。制御部２０２１は、処理をステップＳ２０１６に移す。 (Step S2015: Activity data is received from a predetermined number or less of measurement terminals for which a predetermined time has passed since reception)
The control unit 2021 executes the activity data reception unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and activates the measurement terminals 2003 that can be connected and a predetermined time has passed since the reception from the measurement terminals 2003 of a predetermined number or less. A process of receiving data, changing the reception status stored in the terminal information table 2221 to "received", and changing the last reception date and time to the current date and time is performed (step S2015). The control unit 2021 shifts the process to step S2016.
　接続可能かつ受信から所定時間が経過した計測端末２００３について、所定数以下の計測端末２００３から活動データを受信する処理を行うことにより、活動データを受信した計測端末２００３について、所定時間が経過した場合に、管理装置２００２は、活動データの受信を開始及び／又は完了した後に該計測端末２００３が提供可能となった活動データを受信し得る。したがって、活動データを提供した後に該計測端末２００３が提供可能となった活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 When a predetermined time has elapsed for the measurement terminal 2003 that has received the activity data by performing a process of receiving activity data from a predetermined number or less of the measurement terminals 2003 for the measurement terminals 2003 that can be connected and the predetermined time has passed since the reception. In addition, the management device 2002 may receive the activity data that can be provided by the measurement terminal 2003 after the reception of the activity data is started and / or completed. Therefore, after providing the activity data, the measurement terminal 2003 can more reliably receive the activity data that can be provided, and can propose a service based on the activity data.
　活動データを受信した計測端末２００３について、端末情報テーブル２２２１に格納された受信状態を「受信済」に変更する処理を行うことにより、活動データの送信元であった計測端末２００３を判別可能とし得る。接続可能かつ活動データを受信可能な計測端末２００３について、端末情報テーブル２２２１に格納された最終受信日時を現在の日時に変更処理を行うことにより、該計測端末２００３から活動データを最後に受信した日時を取得し得る。 By performing a process of changing the reception state stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it is possible to determine the measurement terminal 2003 that was the source of the activity data. .. For the measurement terminal 2003 that can be connected and can receive activity data, the date and time when the activity data was last received from the measurement terminal 2003 by changing the last reception date and time stored in the terminal information table 2221 to the current date and time. Can be obtained.
（ステップＳ２０１６：活動データを格納）
　制御部２０２１は、記憶部２０２２と協働して活動データ受信部２２１１を実行し、活動データを提供した計測端末２００３を識別する端末ＩＤと、活動データを提供した被管理者と、活動データを受信した日時と、受信した活動データとを関連付けて活動データテーブル２２２２に格納する処理を行う（ステップＳ２０１６）。制御部２０２１は、活動データ受信処理を終了し、処理をステップＳ２０２０に移す。 (Step S2016: Store activity data)
The control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022, and outputs the terminal ID that identifies the measurement terminal 2003 that provided the activity data, the managed person who provided the activity data, and the activity data. A process of associating the received date and time with the received activity data and storing it in the activity data table 2222 is performed (step S2016). The control unit 2021 ends the activity data reception process and shifts the process to step S2020.
　活動データを提供した計測端末２００３を識別する端末ＩＤと、活動データを提供した被管理者と、活動データを受信した日時と、受信した活動データとを関連付けて活動データテーブル２２２２に格納する処理を行うことにより、端末ＩＤによって識別される計測端末２００３が活動データの送信元であることを記憶させ得る。また、端末ＩＤによって識別される計測端末２００３について、活動データを受信した日時を記憶させ得る。 The process of associating the terminal ID that identifies the measurement terminal 2003 that provided the activity data, the managed person who provided the activity data, the date and time when the activity data was received, and the received activity data in the activity data table 2222 is performed. By doing so, it is possible to memorize that the measurement terminal 2003 identified by the terminal ID is the source of the activity data. Further, the date and time when the activity data is received can be stored in the measurement terminal 2003 identified by the terminal ID.
　必須の態様ではないが、ステップＳ２０１２において、端末情報テーブル２２２１を参照し、活動データを受信可能な計測端末２００３があるか否かを判別する手段が端末情報テーブル２２２１に格納された受信可否が「受信可能」であり、かつ、受信状態が「未受信」である端末ＩＤによって識別される計測端末２００３があるか否かを判別する手段である場合、複数ある計測端末２００３のすべてから活動データを受信して格納した場合に、制御部２０２１は、端末情報テーブル２２２１に格納された受信状態「受信済」と関連付けられた活動データそれぞれについて、受信状態を「未受信」に変更する処理を実行することが好ましい。複数ある計測端末２００３のすべてから活動データを受信して格納した場合であるか否かを判別する処理は、特に限定されず、例えば、複数ある計測端末２００３のすべてについて、計測端末２００３を識別する端末ＩＤが受信状態「受信済」と関連付けられて端末情報テーブル２２２１に格納されているか否かを判別する処理でよい。 Although it is not an indispensable aspect, in step S2012, the reception availability is that the means for determining whether or not there is a measurement terminal 2003 capable of receiving activity data by referring to the terminal information table 2221 is stored in the terminal information table 2221. When it is a means for determining whether or not there is a measurement terminal 2003 identified by a terminal ID whose reception status is "not received" and which is "receivable", activity data is collected from all of a plurality of measurement terminals 2003. When received and stored, the control unit 2021 executes a process of changing the reception status to "not received" for each activity data associated with the reception status "received" stored in the terminal information table 2221. Is preferable. The process of determining whether or not the activity data is received from all of the plurality of measurement terminals 2003 and stored is not particularly limited. For example, the measurement terminal 2003 is identified for all of the plurality of measurement terminals 2003. It may be a process of determining whether or not the terminal ID is associated with the reception status "received" and stored in the terminal information table 2221.
　受信状態を「未受信」に変更する処理を行うことにより、活動データを受信した計測端末２００３について、複数ある計測端末２００３のすべてから活動データを受信した場合に、活動データの受信を開始及び／又は完了した後に該計測端末２００３が提供可能となった活動データを受信し得る。したがって、活動データを開始及び／又は完了した後に該計測端末２００３が提供可能となった活動データをより確実に受信し、活動データに基づくサービスを提案し得る。 By performing the process of changing the reception status to "not received", when the activity data is received from all of the plurality of measurement terminals 2003 for the measurement terminal 2003 that has received the activity data, the reception of the activity data is started and / Alternatively, the activity data that can be provided by the measuring terminal 2003 after completion can be received. Therefore, it is possible to more reliably receive the activity data that can be provided by the measurement terminal 2003 after starting and / or completing the activity data, and propose a service based on the activity data.
［活動データ分析処理］
　図２９は、管理装置２００２で実行される活動データ分析処理の一例を示すフローチャートである。以下、図２９を用いて、図２７のステップＳ２０２０で実行される活動データ分析処理の好ましい手順について説明する。 [Activity data analysis processing]
FIG. 29 is a flowchart showing an example of the activity data analysis process executed by the management device 2002. Hereinafter, a preferable procedure of the activity data analysis process executed in step S2020 of FIG. 27 will be described with reference to FIG. 29.
（ステップＳ２０２１：評価対象となる活動データがあるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する評価生成部２２１２Ａを実行し、評価対象となる活動データがあるか否かを判別する処理を行う（ステップＳ２０２１）。データ受信処理において活動データを受信しており、評価対象となる活動データがあるならば、制御部２０２１は、処理をステップＳ２０２２に移す。データ受信処理において活動データを受信しておらず、評価対象となる活動データがないならば、制御部２０２１は、処理をステップＳ２０２３に移す。 (Step S2021: Determine if there is activity data to be evaluated)
The control unit 2021 executes the evaluation generation unit 2212A relating to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is activity data to be evaluated (step). S2021). If activity data is received in the data reception process and there is activity data to be evaluated, the control unit 2021 shifts the process to step S2022. If no activity data has been received in the data reception process and there is no activity data to be evaluated, the control unit 2021 shifts the process to step S2023.
　評価対象となる活動データがあるか否かを判別する処理を行うことにより、データ受信処理において受信した評価対象となる活動データがある場合に、制御部２０２１は、評価対象となる活動データに対する評価を生成する処理を実行し得る。 By performing a process of determining whether or not there is activity data to be evaluated, when there is activity data to be evaluated received in the data reception process, the control unit 2021 evaluates the activity data to be evaluated. Can be executed.
（ステップＳ２０２２：評価対象となる活動データ１つを選択し、基準情報に基づいて評価を生成）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する評価生成部２２１２Ａを実行し、評価対象となる活動データ１つを選択し、基準情報テーブル２２２３に格納された基準情報に基づいて評価を生成する処理を行う（ステップＳ２０２２）。制御部２０２１は、処理をステップＳ２０２１に移す。 (Step S2022: Select one activity data to be evaluated and generate an evaluation based on the reference information)
The control unit 2021 executes the evaluation generation unit 2212A regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, selects one activity data to be evaluated, and stores it in the reference information table 2223. A process of generating an evaluation based on the reference information is performed (step S2022). The control unit 2021 shifts the process to step S2021.
　評価対象となる活動データ１つを選択し、基準情報テーブル２２２３に格納された基準情報に基づいて評価を生成する処理を行うことにより、評価対象となる活動データがある場合に、制御部２０２１は、該活動データに対し、基準情報に基づく評価を生成し得る。 By selecting one activity data to be evaluated and performing a process of generating an evaluation based on the reference information stored in the reference information table 2223, when there is activity data to be evaluated, the control unit 2021 , An evaluation based on reference information can be generated for the activity data.
　基準情報テーブル２２２３に格納された基準情報が活動データに関する上限及び／又は下限を示す基準情報である場合に基準情報テーブル２２２３に格納された基準情報に基づいて評価を生成する処理について、より詳細に説明する。制御部２０２１は、評価対象となる活動データについて、該活動データに対応する項目と関連付けられた基準情報を基準情報テーブル２２２３から取得して参照し、評価対象となる活動データについて、基準情報が示す上限、及び／又は下限を満たす値を示す活動データであるか否かを判別する。基準情報が示す上限、及び／又は下限を満たす値を示す活動データである場合、基準情報と関連付けられた評価を生成する。基準情報が示す上限、及び／又は下限を満たす値を示す活動データでない場合、基準情報と関連付けられた評価を生成しない。これにより、基準情報テーブル２２２３に格納された基準情報に基づいて、活動データに対する評価を生成し得る。 More details about the process of generating an evaluation based on the reference information stored in the reference information table 2223 when the reference information stored in the reference information table 2223 is the reference information indicating the upper limit and / or the lower limit of the activity data. explain. The control unit 2021 acquires and refers to the reference information associated with the item corresponding to the activity data for the activity data to be evaluated from the reference information table 2223, and the reference information indicates the activity data to be evaluated. It is determined whether or not the activity data indicates a value that satisfies the upper limit and / or the lower limit. If the activity data shows a value that satisfies the upper limit and / or the lower limit indicated by the reference information, the evaluation associated with the reference information is generated. If the activity data does not indicate a value that satisfies the upper and / or lower limits indicated by the reference information, the evaluation associated with the reference information is not generated. Thereby, an evaluation for the activity data can be generated based on the reference information stored in the reference information table 2223.
　基準情報テーブル２２２３に格納された基準情報が活動データに関する統計値である場合に基準情報テーブル２２２３に格納された基準情報に基づいて評価を生成する処理は、活動データと統計値とを比較して評価を生成する処理であれば特に限定されず、例えば、活動データと統計値との差及び／又は比が所定の範囲である場合に基準情報と関連付けられた評価を生成する処理、活動データと統計値との差及び／又は比に基づく指数に基づいて評価を生成する処理等が挙げられる。 When the reference information stored in the reference information table 2223 is a statistical value related to the activity data, the process of generating an evaluation based on the reference information stored in the reference information table 2223 compares the activity data with the statistical value. The process for generating an evaluation is not particularly limited, and for example, a process for generating an evaluation associated with reference information when the difference and / or ratio between the activity data and the statistical value is within a predetermined range, and the activity data. Examples include processing to generate an evaluation based on an index based on the difference from the statistical value and / or the ratio.
（ステップＳ２０２３：新たな疾患情報を生成可能な評価があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する疾患情報生成部２２１２Ｂを実行し、ステップＳ２０２２で生成された評価のうちに新たな疾患情報を生成可能な評価があるか否かを判別する処理を行う（ステップＳ２０２３）。新たな疾患情報を生成可能な評価があるならば、制御部２０２１は、処理をステップＳ２０２４に移す。新たな疾患情報を生成可能な評価がないならば、制御部２０２１は、処理をステップＳ２０２５に移す。 (Step S2023: Determine if there is an evaluation that can generate new disease information)
The control unit 2021 can execute the disease information generation unit 2212B related to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and generate new disease information in the evaluation generated in step S2022. A process of determining whether or not there is an evaluation is performed (step S2023). If there is an evaluation capable of generating new disease information, the control unit 2021 shifts the process to step S2024. If there is no evaluation capable of generating new disease information, the control unit 2021 shifts the process to step S2025.
　新たな疾患情報を生成可能な評価があるか否かを判別する処理を行うことにより、新たな疾患情報を生成可能な評価がある場合に、該評価に基づく疾患情報を生成する処理を行い得る。 By performing a process of determining whether or not there is an evaluation capable of generating new disease information, if there is an evaluation capable of generating new disease information, a process of generating disease information based on the evaluation can be performed. ..
（ステップＳ２０２４：新たな疾患情報を生成可能な評価１つを選択し、選択された評価に基づき疾患情報を生成）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する疾患情報生成部２２１２Ｂを実行し、ステップＳ２０２２で生成された評価のうち新たな疾患情報を生成可能な評価１つを選択し、疾患情報テーブル２２２４に格納された疾患情報を用い、選択された評価に基づいて疾患情報を生成する処理を行う（ステップＳ２０２４）。制御部２０２１は、処理をステップＳ２０２３に移す。 (Step S2024: Select one evaluation that can generate new disease information, and generate disease information based on the selected evaluation)
The control unit 2021 executes the disease information generation unit 2212B related to the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and is an evaluation capable of generating new disease information among the evaluations generated in step S2022. One is selected, and the disease information stored in the disease information table 2224 is used to perform a process of generating disease information based on the selected evaluation (step S2024). The control unit 2021 shifts the process to step S2023.
　疾患情報テーブル２２２４に格納された疾患情報を用い、選択された評価に基づいて疾患情報を生成する処理について、より詳細に説明する。制御部２０２１は、生成された評価について、疾患情報テーブル２２２４に選択された評価を含む評価条件と関連付けられた疾患情報が記憶されているか否かを判別する。関連付けられた疾患情報が記憶されている場合、生成された評価が該疾患情報と関連付けられた評価条件を満たすか否かを判別し、満たすならば、該疾患情報を生成する。関連付けられた疾患情報が記憶されていない場合、疾患情報を生成しない。 The process of generating disease information based on the selected evaluation using the disease information stored in the disease information table 2224 will be described in more detail. The control unit 2021 determines whether or not the disease information associated with the evaluation condition including the selected evaluation is stored in the disease information table 2224 for the generated evaluation. When the associated disease information is stored, it is determined whether or not the generated evaluation satisfies the evaluation condition associated with the disease information, and if it is satisfied, the disease information is generated. If the associated disease information is not stored, the disease information is not generated.
（ステップＳ２０２５：評価、及び疾患情報が生成されたか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する分析結果生成部２２１２Ｃを実行し、ステップＳ２０２２で生成された評価、及びステップＳ２０２４で生成された疾患情報があるか否かを判別する処理を行う（ステップＳ２０２５）。生成された評価、及び生成された疾患情報があるならば、制御部２０２１は、処理をステップＳ２０２６に移す。生成された評価、又は生成された疾患情報のいずれかがないならば、制御部２０２１は、活動データ分析処理を終了し、処理をステップＳ２０３０に移す。 (Step S2025: Evaluation and determination of whether disease information has been generated)
The control unit 2021 executes the analysis result generation unit 2212C regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and the evaluation generated in step S2022 and the disease information generated in step S2020 are generated. A process of determining whether or not there is present is performed (step S2025). If there is an evaluation generated and disease information generated, the control unit 2021 moves the process to step S2026. If neither the generated evaluation nor the generated disease information is available, the control unit 2021 ends the activity data analysis process and moves the process to step S2030.
　ステップＳ２０２２で生成された評価、及びステップＳ２０２４で生成された疾患情報があるか否かを判別する処理を行うことにより、生成された評価、及び生成された疾患情報がある場合に、生成された評価、及び生成された疾患情報に基づく分析結果を生成する処理を実行し得る。 It was generated by performing the evaluation generated in step S2022 and the process of determining whether or not there is the disease information generated in step S2024, and if there is the generated evaluation and the generated disease information. It is possible to perform an evaluation and a process of generating analysis results based on the generated disease information.
（ステップＳ２０２６：評価及び疾患情報に基づく分析結果を生成）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して活動データ分析部２２１２に関する分析結果生成部２２１２Ｃを実行し、ステップＳ２０２２で生成された評価、及びステップＳ２０２４で生成された疾患情報に基づく分析結果を生成し、分析結果テーブル２２２５に格納する処理を行う（ステップＳ２０２６）。制御部２０２１は、活動データ分析処理を終了し、処理をステップＳ２０３０に移す。 (Step S2026: Generate analysis results based on evaluation and disease information)
The control unit 2021 executes the analysis result generation unit 2212C regarding the activity data analysis unit 2212 in cooperation with the storage unit 2022 and the communication unit 2023, and obtains the evaluation generated in step S2022 and the disease information generated in step S2020. A process of generating an analysis result based on the analysis result and storing it in the analysis result table 2225 is performed (step S2026). The control unit 2021 ends the activity data analysis process and shifts the process to step S2030.
　ステップＳ２０２２で生成された評価、及びステップＳ２０２４で生成された疾患情報に基づく分析結果を生成し、分析結果テーブル２２２５に格納する処理を行うため、受信した活動データについて、基準情報テーブル２２２３に格納された基準情報、及び疾患情報テーブル２２２４に格納された疾患情報に基づいて分析した分析結果を生成し得る。 The received activity data is stored in the reference information table 2223 in order to perform the process of generating the evaluation generated in step S2022 and the analysis result based on the disease information generated in step S2024 and storing it in the analysis result table 2225. It is possible to generate an analysis result analyzed based on the reference information and the disease information stored in the disease information table 2224.
　人間が活動データを評価する場合、評価の基準となる基準情報を用いなければ、評価する人間の主観や恣意的な判断等が評価に含まれ得る。そのため、人間が基準情報を用いずに行った評価に基づいて疾患情報を生成する場合に、評価に含まれる主観や恣意的な判断等によって疾患情報の客観性に改善の余地があり得る。客観性に改善の余地がある疾患情報に基づいて生成される分析結果もまた、客観性に改善の余地があり得る。 When a human evaluates activity data, the evaluation may include the subjectivity and arbitrary judgment of the person to be evaluated unless the standard information that serves as the evaluation standard is used. Therefore, when the disease information is generated based on the evaluation performed by humans without using the reference information, there may be room for improvement in the objectivity of the disease information due to the subjectivity and arbitrary judgment included in the evaluation. Analysis results generated based on disease information that have room for improvement in objectivity may also have room for improvement in objectivity.
　ステップＳ２０２１及びステップＳ２０２２において評価生成部２２１２Ａを実行することにより、基準情報に基づいて活動データに対する評価を生成するため、評価する人間の主観や恣意的な判断等の影響を抑え得る。したがって、客観性において改善された評価を生成し得る。ステップＳ２０２３及びステップＳ２０２４において疾患情報生成部２２１２Ｂを実行し、ステップＳ２０２５及びステップＳ２０２６において分析結果生成部２２１２Ｃを実行することにより、このように生成された評価に基づいて疾患情報を生成し、生成された疾患情報に基づいて分析結果を生成するため、客観性において改善された分析結果を生成し得る。 By executing the evaluation generation unit 2212A in step S2021 and step S2022, the evaluation for the activity data is generated based on the reference information, so that the influence of the subjective or arbitrary judgment of the person to be evaluated can be suppressed. Therefore, it is possible to generate an improved assessment in objectivity. By executing the disease information generation unit 2212B in steps S2023 and S2024 and executing the analysis result generation unit 2212C in steps S2025 and S2026, the disease information is generated and generated based on the evaluation thus generated. Since the analysis result is generated based on the disease information, the analysis result improved in objectivity can be generated.
［サービス画面生成処理］
　図３０は、管理装置２００２で実行されるサービス画面生成処理の一例を示すフローチャートである。以下、図３０を用いて、図２７のステップＳ２０３０において行われるサービス画面生成処理の好ましい手順について説明する。 [Service screen generation process]
FIG. 30 is a flowchart showing an example of the service screen generation process executed by the management device 2002. Hereinafter, a preferable procedure of the service screen generation process performed in step S2030 of FIG. 27 will be described with reference to FIG.
（ステップＳ２０３１：所定の条件を満たす評価及び疾患情報があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働してサービス画面生成部２２１３を実行し、提案サービスを含む画面の生成に関する所定の条件を満たす評価及び疾患情報があるか否かを判別する処理を行う（ステップＳ２０３１）。所定の条件を満たす評価及び疾患情報があるならば、制御部２０２１は、処理をステップＳ２０３２に移す。所定の条件を満たす評価及び疾患情報がないならば、制御部２０２１は、処理をステップＳ２０３４に移す。 (Step S2031: Determining whether or not there is evaluation and disease information satisfying a predetermined condition)
The control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and determines whether or not there is evaluation and disease information satisfying a predetermined condition regarding the generation of the screen including the proposed service. (Step S2031). If there is evaluation and disease information satisfying a predetermined condition, the control unit 2021 shifts the process to step S2032. If there is no evaluation and disease information satisfying the predetermined conditions, the control unit 2021 shifts the process to step S2034.
　所定の条件を満たす評価及び疾患情報があるか否かを判別する処理を行うことにより、制御部２０２１は、所定の条件を満たす評価及び疾患情報がある場合に提案サービス画面を生成する処理を実行できる。 The control unit 2021 executes a process of generating a proposal service screen when there is an evaluation and disease information satisfying a predetermined condition by performing an evaluation satisfying a predetermined condition and a process of determining whether or not there is disease information. can.
　患者等の活動データが健康状態に問題を抱えている可能性を示唆する場合に、患者等は、健康状態に問題を抱えている可能性について精査する医療サービス、及び／又は健康状態の問題に対応する医療サービス等の有益なサービスをさらに必要とし得る。患者等が何らかの疾患に罹患している可能性がある場合に、患者等は、疾患に罹患している可能性について精査する医療サービス、及び／又は疾患の治療に関する医療サービス等の有益なサービスをさらに必要とし得る。これらの両方の可能性が示唆される場合には、患者等は、有益なサービスをよりいっそう必要とし得る。 When activity data of a patient or the like suggests that they may have a health problem, the patient or the like may have a medical service and / or a health problem that scrutinizes the possibility of having a health problem. Further beneficial services such as corresponding medical services may be needed. When a patient may have some kind of illness, the patient may provide useful services such as medical services to scrutinize the possibility of having the illness and / or medical services related to the treatment of the illness. Further may be needed. Patients and others may need more and more beneficial services if both of these possibilities are suggested.
　提案サービスを含む画面の生成に関する所定の条件は、提案サービスを含む画面の生成に関する条件であれば、特に限定されない。所定の条件は、評価及び疾患情報が上述の可能性を示している場合に対応する条件を含むことが好ましい。所定の条件が評価及び疾患情報が上述の可能性を示している場合に対応する条件を含むことにより、患者等がサービスをよりいっそう必要とする場合に対応する所定の条件を満たす場合に提案サービスを含む画面を生成するため、患者等がサービスをよりいっそう必要とする場合に、患者等にとって有益なサービスを提案し得る。 The predetermined conditions for generating the screen including the proposed service are not particularly limited as long as they are the conditions for generating the screen including the proposed service. The predetermined conditions preferably include the corresponding conditions when the evaluation and disease information indicate the above possibilities. Proposed service when the prescribed conditions meet the prescribed conditions when the patient or the like needs more services by including the conditions corresponding to the case where the evaluation and the disease information indicate the above possibility. In order to generate a screen including the above, when the patient or the like needs more services, it is possible to propose a service useful for the patient or the like.
（ステップＳ２０３２：提案サービス画面を生成）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働してサービス画面生成部２２１３を実行し、疾患情報と対応する提案サービスを含む提案サービス画面を生成する処理を行う（ステップＳ２０３２）。制御部２０２１は、処理をステップＳ２０３３に移す。 (Step S2032: Generate a proposal service screen)
The control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of generating a proposal service screen including the proposal service corresponding to the disease information (step S2032). The control unit 2021 shifts the process to step S2033.
　疾患情報と対応する提案サービスを含む提案サービス画面を生成する処理を行うことにより、所定の条件によって判別される患者等がサービスをよりいっそう必要とする場合に提案サービスを含む画面を生成するため、患者等がサービスをよりいっそう必要とする場合に、患者等にとって有益なサービスを提案し得る。 By performing the process of generating the proposal service screen including the disease information and the corresponding proposal service, the screen including the proposal service is generated when the patient or the like determined by the predetermined conditions further needs the service. When a patient or the like needs more services, he / she can propose a service that is beneficial to the patient or the like.
　提案サービス画面に含まれる情報は、疾患情報と対応する提案サービスを含めば、特に限定されず、例えば、疾患情報の閲覧を提案するサービス、分析結果及び疾患情報の閲覧を提案するサービス、疾患情報と対応する医療サービスを提案するサービス、分析結果及び疾患情報と対応する医療サービスを提案するサービス等が挙げられる。 The information included in the proposal service screen is not particularly limited as long as the proposal service corresponding to the disease information is included. Examples include a service that proposes a medical service corresponding to the above, a service that proposes a medical service corresponding to the analysis result and disease information, and the like.
（ステップＳ２０３３：提案サービス画面を送信）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働してサービス画面生成部２２１３を実行し、ステップＳ２０３２で生成した提案サービス画面を外部の装置に送信する処理を行う（ステップＳ２０３３）。制御部２０２１は、処理をステップＳ２０３４に移す。 (Step S2033: Send the proposal service screen)
The control unit 2021 executes the service screen generation unit 2213 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of transmitting the proposed service screen generated in step S2032 to an external device (step S2033). The control unit 2021 shifts the process to step S2034.
　提案サービス画面を送信される外部の装置は、特に限定されず、例えば、表示端末２００４、医師、看護師、ケアマネージャー等に例示される医療施設等の従業員が利用する管理者端末、及び／又は患者等の家族・保険担当者等に例示される患者等の関係者が利用する関係者端末等が挙げられる。 The external device to which the proposed service screen is transmitted is not particularly limited, and for example, a display terminal 2004, an administrator terminal used by an employee of a medical facility exemplified as a doctor, a nurse, a care manager, etc., and / Alternatively, a related party terminal or the like used by a related person such as a patient, which is exemplified by a family member such as a patient or an insurer, etc., can be mentioned.
　ステップＳ２０３２で生成した提案サービス画面を外部の装置に送信する処理を行うことにより、表示端末２００４を利用する患者等、管理者端末を利用する従業員、及び／又は関係者端末を利用する関係者等にサービスを提案し、該サービスを患者等に提供し得る。 By performing the process of transmitting the proposal service screen generated in step S2032 to an external device, an employee who uses the administrator terminal, such as a patient who uses the display terminal 2004, and / or a related person who uses the related person terminal. It is possible to propose a service to the patient and the like and provide the service to the patient and the like.
　必須の態様ではないが、分析結果が複数ある場合、制御部２０２１は、記憶部２０２２、及び通信部２０２３と協働して助言付与部２２１５を実行し、複数の分析結果のそれぞれに対して任意に付与された助言を受信し、助言を識別可能なＩＤと、助言を付与した利用者と、助言を受信した日時と、分析結果を識別可能な分析結果ＩＤと、該助言と、を対応づけて助言テーブル２２２６に格納してもよい。これにより、医師や、看護師、ケアマネージャー等に例示される、管理装置２００２の利用者は、分析結果に助言を付与できる。 Although it is not an essential aspect, when there are a plurality of analysis results, the control unit 2021 executes the advice giving unit 2215 in cooperation with the storage unit 2022 and the communication unit 2023, and is arbitrary for each of the plurality of analysis results. The ID that can identify the advice given to the user, the user who gave the advice, the date and time when the advice was received, the analysis result ID that can identify the analysis result, and the advice are associated with each other. May be stored in the advice table 2226. As a result, the user of the management device 2002, which is exemplified by a doctor, a nurse, a care manager, etc., can give advice to the analysis result.
　助言付与部２２１５を実行した場合、制御部２０２１は、記憶部２０２２、及び通信部２０２３と協働して時系列情報送信部２２１６を実行し、分析結果を時系列で表示可能な分析結果時系列情報、分析結果に関する管理装置２００２の利用者からの助言、及び該助言と分析結果との対応情報を表示端末２００４に送信することが好ましい。時系列情報送信部２２１６が分析結果と助言との対応づけである対応情報を端末２００４に送信するため、表示端末２００４を利用する患者等は、表示端末２００４が受信した対応情報を介して管理装置２００２の利用者からの助言を取得し得る。したがって、医師等によって例示される管理装置２００２の利用者は、分析結果に助言を付与することによって、患者等に助言を与え得る。よって、管理装置２００２の利用者からの助言を患者等に与えるサービスを提案し得る。 When the advice giving unit 2215 is executed, the control unit 2021 executes the time series information transmission unit 2216 in cooperation with the storage unit 2022 and the communication unit 2023, and the analysis result can be displayed in time series. It is preferable to transmit the information, the advice from the user of the management device 2002 regarding the analysis result, and the correspondence information between the advice and the analysis result to the display terminal 2004. Since the time-series information transmission unit 2216 transmits the correspondence information, which is the correspondence between the analysis result and the advice, to the terminal 2004, the patient or the like who uses the display terminal 2004 manages the management device via the correspondence information received by the display terminal 2004. Get advice from 2002 users. Therefore, the user of the management device 2002 exemplified by the doctor or the like can give the advice to the patient or the like by giving the advice to the analysis result. Therefore, it is possible to propose a service that gives advice from the user of the management device 2002 to the patient or the like.
　時系列情報送信部２２１６を実行することにより、分析結果の時系列における変化を把握するために役立ち得る分析結果時系列情報を提供するサービスを提案し得る。また、管理装置２００２の利用者からの助言を患者等に与えるサービスを提案し、分析結果時系列情報を提供するサービスを提案した場合、対応情報を用いて時系列で表示された分析結果から、分析結果に対応する助言を取得可能とするサービスをさらに提案し得る。 By executing the time-series information transmission unit 2216, it is possible to propose a service that provides analysis result time-series information that can be useful for grasping changes in the analysis results in time-series. In addition, when a service that gives advice from users of the management device 2002 to patients and the like and a service that provides analysis result time series information is proposed, the analysis result displayed in time series using the corresponding information is used. We can further propose services that make it possible to obtain advice corresponding to the analysis results.
　必須の態様ではないが、制御部２０２１は、ステップＳ２０３４及びステップＳ２０３５の処理を含む通知処理をさらに行うことが好ましい。通知処理を行うことにより、患者等は、何らかの疾患に罹患し得る場合に、端末を通じて疾患情報に関する情報を把握し得る。 Although not an essential aspect, it is preferable that the control unit 2021 further performs notification processing including the processing of step S2034 and step S2035. By performing the notification process, the patient or the like can grasp information on the disease information through the terminal when he / she may suffer from some kind of disease.
（ステップＳ２０３４：特定の条件を満たす疾患情報があるか否かを判別）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して通知部２２１４を実行し、特定の条件を満たす疾患情報があるか否かを判別する処理を行う（ステップＳ２０３１）。特定の条件を満たす疾患情報があるならば、制御部２０２１は、処理をステップＳ２０３５に移す。特定の条件を満たす疾患情報がないならば、制御部２０２１は、サービス画面生成処理を終了し、処理をステップＳ２０１０に移し、ステップＳ２０１０からステップＳ２０３５の処理を繰り返す。 (Step S2034: Determining whether or not there is disease information satisfying a specific condition)
The control unit 2021 executes the notification unit 2214 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of determining whether or not there is disease information satisfying a specific condition (step S2031). If there is disease information satisfying a specific condition, the control unit 2021 shifts the process to step S2035. If there is no disease information satisfying a specific condition, the control unit 2021 ends the service screen generation process, shifts the process to step S2010, and repeats the processes of steps S2010 to S2035.
　特定の条件を満たす疾患情報があるか否かを判別する処理を行うことにより、特定の条件を満たす疾患情報がある場合に通知する処理を実行できる。特定の条件は、特に限定されず、例えば、患者等が何らかの疾患に罹患し得る場合に満たされる条件、患者等が何らかの疾患に罹患し、該疾患の進行度が特定の進行度以上である場合に満たされる条件、等でよい。 By performing a process of determining whether or not there is disease information satisfying a specific condition, it is possible to execute a process of notifying when there is disease information satisfying a specific condition. The specific conditions are not particularly limited, and are, for example, conditions that are satisfied when a patient or the like can suffer from some disease, or when a patient or the like suffers from some disease and the degree of progression of the disease is equal to or higher than the specific degree of progression. The conditions that satisfy the above may be satisfied.
（ステップＳ２０３５：疾患情報に関する情報を通知）
　制御部２０２１は、記憶部２０２２及び通信部２０２３と協働して通知部２２１４を実行し、疾患情報に関する情報を表示端末２００４に通知する処理を行う（ステップＳ２０３５）。制御部２０２１は、サービス画面生成処理を終了し、処理をステップＳ２０１０に移し、ステップＳ２０１０からステップＳ２０３５の処理を繰り返す。 (Step S2035: Notify information on disease information)
The control unit 2021 executes the notification unit 2214 in cooperation with the storage unit 2022 and the communication unit 2023, and performs a process of notifying the display terminal 2004 of information regarding the disease information (step S2035). The control unit 2021 ends the service screen generation process, shifts the process to step S2010, and repeats the process from step S2010 to step S2035.
　疾患情報に関する情報を表示端末２００４に通知する処理を行うことにより、患者等は、特定の条件によって判別される何らかの疾患に罹患し得る場合に、表示端末２００４を通じて疾患情報に関する情報を把握し得る。これにより、患者等にとってよりいっそう有益なサービスを提案可能な管理装置２００２を提供できる。 By performing the process of notifying the display terminal 2004 of the information on the disease information, the patient or the like can grasp the information on the disease information through the display terminal 2004 when he / she may suffer from some disease determined by a specific condition. This makes it possible to provide a management device 2002 capable of proposing a service that is even more useful for patients and the like.
　ステップＳ２０１０からステップＳ２０３５に係る手順を管理装置２００２に実行させることにより、患者等が計測端末２００３を利用して活動データを提供する場合に、この計測端末２００３から提供される患者等の活動データに基づいて生活習慣の分析結果を生成し、生成した分析結果に基づく疾患情報と対応する提案サービスを含む画面を生成できる。したがって、生成した画面を介して、活動データを反映したサービスを提案できる。 By causing the management device 2002 to execute the procedure from step S2010 to step S2035, when the patient or the like provides the activity data by using the measurement terminal 2003, the activity data of the patient or the like provided from the measurement terminal 2003 is used. A lifestyle analysis result can be generated based on the analysis result, and a screen including disease information based on the generated analysis result and a corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
　ステップＳ２０１０からステップＳ２０３５に係る手順を管理装置２００２に実行させることにより、活動データだけでなく、活動データに基づいて分析された生活習慣をも反映したサービスを提案し得る。さらに、分析結果に基づく疾患情報をも反映したサービスを提案し得る。したがって、活動データだけでなく、活動データに基づく各種の情報をも反映したサービスを提案し得る。 By causing the management device 2002 to execute the procedure from step S2010 to step S2035, it is possible to propose a service that reflects not only the activity data but also the lifestyle analyzed based on the activity data. Furthermore, it is possible to propose a service that reflects disease information based on the analysis results. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
　したがって、ステップＳ２０１０からステップＳ２０３５に係る手順を管理装置２００２に実行させることにより、患者等から取得した活動データ等を用いて、患者等にとって有益なサービスを提案可能な管理装置２００２を提供できる。 Therefore, by causing the management device 2002 to execute the procedure from step S2010 to step S2035, it is possible to provide the management device 2002 capable of proposing a service useful for the patient or the like by using the activity data or the like acquired from the patient or the like.
　管理装置２００２が分析結果を時系列で表示可能な分析結果時系列情報、分析結果に関する医師等からの助言、及び該助言と分析結果との対応情報を表示端末２００４に送信する場合、表示端末２００４は、分析結果を時系列で表示する分析結果時系列情報表示処理を行うことが好ましい。分析結果時系列情報表示処理を行うことにより、分析結果の時系列における変化を把握するために役立ち得る分析結果時系列情報を提供するサービスを提案し得る。 When the management device 2002 transmits analysis result time-series information capable of displaying the analysis result in time series, advice from a doctor or the like regarding the analysis result, and correspondence information between the advice and the analysis result to the display terminal 2004, the display terminal 2004 It is preferable to perform an analysis result time-series information display process for displaying the analysis results in time series. By performing the analysis result time-series information display processing, it is possible to propose a service that provides the analysis result time-series information that can be useful for grasping the change in the analysis result in the time series.
〔分析結果時系列情報表示処理のメインフローチャート〕
　図３１は、表示端末２００４で実行される分析結果時系列情報表示処理の一例を示すフローチャートである。以下では、図３１を参照しながら、管理装置２００２が分析結果を時系列で表示可能な分析結果時系列情報、分析結果に関する医師等からの助言、及び該助言と分析結果との対応情報を表示端末２００４に送信する場合に、表示端末２００４が行う分析結果時系列情報表示処理の好ましい手順について説明する。 [Main flowchart of analysis result time series information display processing]
FIG. 31 is a flowchart showing an example of analysis result time series information display processing executed by the display terminal 2004. In the following, with reference to FIG. 31, the management device 2002 displays the analysis result time-series information in which the analysis result can be displayed in time series, the advice from doctors and the like regarding the analysis result, and the correspondence information between the advice and the analysis result. A preferable procedure of the analysis result time-series information display processing performed by the display terminal 2004 when transmitting to the terminal 2004 will be described.
（ステップＳ２０４１：分析結果時系列情報を受信したか否かを判別）
　制御部２０４１は、記憶部２０４２及び通信部２０４３と協働して分析結果受信部２４１１を実行し、分析結果時系列情報を管理装置２００２から受信したか否かを判別する処理を行う（ステップＳ２０４１）。分析結果時系列情報を管理装置２００２から受信したならば、制御部２０４１は、処理をステップＳ２０４２に移す。分析結果時系列情報を管理装置２００２から受信していないならば、制御部２０４１は、処理をステップＳ２０４７に移す。 (Step S2041: Determine whether or not the analysis result time series information has been received)
The control unit 2041 executes the analysis result receiving unit 2411 in cooperation with the storage unit 2042 and the communication unit 2043, and performs a process of determining whether or not the analysis result time series information has been received from the management device 2002 (step S2041). ). When the analysis result time series information is received from the management device 2002, the control unit 2041 shifts the process to step S2042. If the analysis result time series information has not been received from the management device 2002, the control unit 2041 shifts the process to step S2047.
　分析結果時系列情報を受信したか否かを判別する処理を行うことにより、制御部２０４１は、分析結果時系列情報を受信した場合に分析結果を時系列で表示する処理を実行できる。 By performing the process of determining whether or not the analysis result time series information has been received, the control unit 2041 can execute the process of displaying the analysis result in time series when the analysis result time series information is received.
（ステップＳ２０４２：助言を受信したか否かを判別）
　制御部２０４１は、記憶部２０４２及び通信部２０４３と協働して助言受信部２４１２を実行し、助言及び対応情報を管理装置２００２から受信したか否かを判別する処理を行う（ステップＳ２０４２）。助言及び対応情報を管理装置２００２から受信したならば、制御部２０４１は、処理をステップＳ２０４３に移す。助言等を管理装置２００２から受信していないならば、制御部２０４１は、処理をステップＳ２０４６に移す。 (Step S2042: Determine whether or not advice has been received)
The control unit 2041 executes the advice receiving unit 2412 in cooperation with the storage unit 2042 and the communication unit 2043, and performs a process of determining whether or not the advice and the corresponding information have been received from the management device 2002 (step S2042). Upon receiving the advice and response information from the management device 2002, the control unit 2041 shifts the process to step S2043. If the advice or the like has not been received from the management device 2002, the control unit 2041 shifts the process to step S2046.
　助言及び対応情報を受信したか否かを判別する処理を行うことにより、制御部２０４１は、助言を受信した場合に、助言一覧を表示する処理を実行できる。 By performing the process of determining whether or not the advice and the correspondence information have been received, the control unit 2041 can execute the process of displaying the advice list when the advice is received.
（ステップＳ２０４３：助言一覧を表示するよう制御）
　制御部２０４１は、記憶部２０４２、通信部２０４３及び表示部２０４５と協働して表示制御部２４１３を実行し、対応情報を介してステップＳ２０４２で受信した助言の一覧を表示するよう表示部２０４５を制御する処理を行う（ステップＳ２０４３）。制御部２０４１は、処理をステップＳ２０４４に移す。 (Step S2043: Control to display the advice list)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and displays the display unit 2045 so as to display a list of advice received in step S2042 via the corresponding information. Perform the control process (step S2043). The control unit 2041 shifts the process to step S2044.
　対応情報を介してステップＳ２０４２で受信した助言の一覧を表示するよう表示部２０４５を制御する処理を行うことにより、表示端末２００４を利用する患者等は、表示端末２００４が受信した対応情報を介して管理装置２００２の利用者からの助言を取得し得る。したがって、医師等は、分析結果に助言を付与することによって、患者等に助言を与え得る。よって、医師等からの助言を患者等に与えるサービスを提案し得る。 By performing the process of controlling the display unit 2045 to display the list of advice received in step S2042 via the correspondence information, the patient or the like using the display terminal 2004 can use the correspondence information received by the display terminal 2004. The advice from the user of the management device 2002 can be obtained. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
（ステップＳ２０４４：指定情報を受信したか否かを判別）
　制御部２０４１は、記憶部２０４２、通信部２０４３、及び入力部と協働して表示制御部２４１３を実行し、表示端末２００４を利用する患者等から指定情報を受信したか否かを判別する処理を行う（ステップＳ２０４４）。指定情報を受信したならば、制御部２０４１は、処理をステップＳ２０４５に移す。指定情報を受信していないならば、制御部２０４１は、処理をステップＳ２０４６に移す。 (Step S2044: Determine whether or not the specified information has been received)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the input unit, and determines whether or not the designated information has been received from the patient or the like using the display terminal 2004. (Step S2044). When the designated information is received, the control unit 2041 shifts the process to step S2045. If the designated information has not been received, the control unit 2041 shifts the process to step S2046.
　表示部２０４５に分析結果時系列情報を表示するサービスを提案した場合において、表示端末２００４を利用する患者等から指定情報を受信したか否かを判別する処理を行うことにより、表示端末２００４を利用する患者等が複数の助言のうちいずれか１以上を指定したときに、助言に対応づけられる分析結果を含む範囲に分析結果時系列情報の表示範囲を制御して助言に対応づけられた分析結果を含む範囲を表示するサービスを提案し得る。 When a service for displaying analysis result time-series information is proposed to the display unit 2045, the display terminal 2004 is used by performing a process of determining whether or not the specified information has been received from a patient or the like who uses the display terminal 2004. When one or more of a plurality of advices are specified by the patient, etc., the analysis result is associated with the advice by controlling the display range of the time-series information in the range including the analysis result associated with the advice. It is possible to propose a service that displays a range including.
（ステップＳ２０４５：指定情報に対応する分析結果時系列情報を表示するよう制御）
　制御部２０４１は、記憶部２０４２、通信部２０４３及び表示部２０４５と協働して表示制御部２４１３を実行し、指定情報に対応する分析結果時系列情報及び対応情報に関する対応画像を表示するよう制御する処理を行う（ステップＳ２０４５）。制御部２０４１は、処理をステップＳ２０４７に移す。 (Step S2045: Control to display analysis result time series information corresponding to the specified information)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and controls to display the analysis result time series information corresponding to the specified information and the corresponding image related to the corresponding information. (Step S2045). The control unit 2041 shifts the process to step S2047.
　指定情報に対応する分析結果時系列情報を表示するよう制御する処理を行うことにより、表示部に分析結果時系列情報を表示し、端末を利用する患者等がこの表示を用いて分析結果の時系列における変化を把握し得るサービスを提案し得る。対応情報に対応する対応画像を表示するよう制御する処理を行うことにより、表示端末２００４を利用する患者等が分析結果に対応する助言の有無を把握し得る。また、表示端末２００４を利用する患者等がこの対応画像を選択して対応する助言を取得し得るサービスを提案し得る。 By performing a process to control the display of the analysis result time-series information corresponding to the specified information, the analysis result time-series information is displayed on the display unit, and when the patient or the like using the terminal uses this display to display the analysis result. We can propose services that can grasp changes in the series. By performing the process of controlling to display the corresponding image corresponding to the corresponding information, the patient or the like using the display terminal 2004 can grasp the presence or absence of the advice corresponding to the analysis result. In addition, it is possible to propose a service in which a patient or the like using the display terminal 2004 can select the corresponding image and obtain the corresponding advice.
　指定情報に対応する分析結果時系列情報を表示するよう制御する処理を行うことにより、表示端末２００４を利用する患者等が複数の助言のうちいずれか１以上を指定したときに、助言に対応づけられる分析結果を含む範囲に分析結果時系列情報の表示範囲を制御して助言に対応づけられた分析結果を含む範囲を表示するサービスを提案し得る。 By performing a process that controls the display of analysis result time-series information corresponding to the specified information, when a patient or the like using the display terminal 2004 specifies one or more of a plurality of advices, the advices are associated with the advices. It is possible to propose a service that controls the display range of the analysis result time series information in the range including the analysis result to be displayed and displays the range including the analysis result associated with the advice.
（ステップＳ２０４６：分析結果時系列情報を表示するよう制御）
　制御部２０４１は、記憶部２０４２、通信部２０４３及び表示部２０４５と協働して表示制御部２４１３を実行し、分析結果時系列情報及び対応情報に関する対応画像を表示するよう制御する処理を行う（ステップＳ２０４６）。制御部２０４１は、処理をステップＳ２０４７に移す。 (Step S2046: Control to display analysis result time series information)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and performs a process of controlling to display the analysis result time series information and the corresponding image related to the corresponding information ( Step S2046). The control unit 2041 shifts the process to step S2047.
　分析結果時系列情報を表示するよう制御する処理を行うことにより、表示部２０４５に分析結果時系列情報を表示し、表示端末２００４を利用する患者等がこの表示を用いて分析結果の時系列における変化を把握し得るサービスを提案し得る。対応情報に対応する対応画像を表示するよう制御する処理を行うことにより、表示端末２００４を利用する患者等が分析結果に対応する助言の有無を把握し得る。また、表示端末２００４を利用する患者等がこの対応画像を選択して対応する助言を取得し得るサービスを提案し得る。 By performing a process of controlling to display the analysis result time series information, the analysis result time series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 uses this display in the analysis result time series. We can propose services that can grasp changes. By performing the process of controlling to display the corresponding image corresponding to the corresponding information, the patient or the like using the display terminal 2004 can grasp the presence or absence of the advice corresponding to the analysis result. In addition, it is possible to propose a service in which a patient or the like using the display terminal 2004 can select the corresponding image and obtain the corresponding advice.
（ステップＳ２０４７：選択情報を受信したか否かを判別）
　制御部２０４１は、記憶部２０４２、通信部２０４３及び表示部２０４５と協働して表示制御部２４１３を実行し、選択された１以上の対応画像を識別可能な選択情報を受信したか否かを判別する処理を行う（ステップＳ２０４７）。選択情報を受信したならば、制御部２０４１は、処理をステップＳ２０４８に移す。選択情報を受信していないならば、制御部２０２１は、処理をステップＳ２０４１に移し、ステップＳ２０４１からステップＳ２０４８の処理を繰り返す。 (Step S2047: Determine whether or not selection information has been received)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and determines whether or not the selection information that can identify one or more selected corresponding images has been received. Perform the determination process (step S2047). Upon receiving the selection information, the control unit 2041 shifts the process to step S2048. If the selection information has not been received, the control unit 2021 shifts the process to step S2041 and repeats the processes of steps S2041 to S2048.
（ステップＳ２０４８：対応する助言を表示するよう制御）
　制御部２０４１は、記憶部２０４２、通信部２０４３及び表示部２０４５と協働して表示制御部２４１３を実行し、選択情報に対応する助言を表示するよう制御する処理を行う（ステップＳ２０４６）。制御部２０２１は、処理をステップＳ２０４１に移し、ステップＳ２０４１からステップＳ２０４８の処理を繰り返す。 (Step S2048: Control to display corresponding advice)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, the communication unit 2043, and the display unit 2045, and performs a process of controlling to display the advice corresponding to the selection information (step S2046). The control unit 2021 shifts the process to step S2041 and repeats the process from step S2041 to step S2048.
　対応する助言を表示するよう制御する処理を行うことにより、表示端末２００４を利用する患者等が分析結果に対応する助言の表示を指令し、該助言を取得して利用し得るサービスを提案し得る。 By performing a process of controlling to display the corresponding advice, a patient or the like using the display terminal 2004 can instruct the display of the advice corresponding to the analysis result, and can propose a service that can obtain and use the advice. ..
＜システム２００１の使用例＞
　続いて、本実施形態におけるシステム２００１の使用例を説明する。 <Example of using system 2001>
Subsequently, an example of using the system 2001 in this embodiment will be described.
〔活動データの提供〕
　患者等は、計測端末２００３を装着する等して、患者等の活動データを計測する。患者等は、管理装置側無線デバイスＷと計測端末２００３とが無線通信可能である場所に移動し、管理装置側無線デバイスＷを介して計測端末２００３が計測した活動データを管理装置２００２に提供する。管理装置２００２の制御部２０２１は、活動データ受信部２２１１を実行し、接続可能かつ活動データを受信可能な計測端末２００３があることを判別し、活動データを受信可能な計測端末２００３から活動データを受信し、受信した活動データを格納する、一連の処理を行う。これにより、患者等の活動データが計測端末２００３から管理装置２００２に提供され、提供された活動データが管理装置２００２に格納される。 [Provision of activity data]
The patient or the like measures the activity data of the patient or the like by wearing the measurement terminal 2003 or the like. The patient or the like moves to a place where the management device side wireless device W and the measurement terminal 2003 can wirelessly communicate with each other, and provides the management device 2002 with the activity data measured by the measurement terminal 2003 via the management device side wireless device W. .. The control unit 2021 of the management device 2002 executes the activity data receiving unit 2211, determines that there is a measurement terminal 2003 that can be connected and can receive the activity data, and receives the activity data from the measurement terminal 2003 that can receive the activity data. Performs a series of processes to receive and store the received activity data. As a result, the activity data of the patient or the like is provided from the measurement terminal 2003 to the management device 2002, and the provided activity data is stored in the management device 2002.
〔活動データの分析〕
　管理装置２００２の制御部２０２１は、活動データ分析部２２１２を実行し、受信した活動データについて、基準情報に基づいて評価を生成し、生成された評価に基づいて疾患情報を生成し、生成された評価及び生成された疾患情報に基づいて分析結果を生成する一連の処理を行う。これにより、患者等が計測端末２００３を介して提供した活動データに関する分析結果が生成される。 [Analysis of activity data]
The control unit 2021 of the management device 2002 executes the activity data analysis unit 2212, generates an evaluation based on the reference information for the received activity data, and generates the disease information based on the generated evaluation. A series of processes for generating analysis results based on evaluation and generated disease information are performed. As a result, the analysis result regarding the activity data provided by the patient or the like via the measurement terminal 2003 is generated.
〔サービス画面の生成〕
　管理装置２００２の制御部２０２１は、サービス画面生成部２２１３を実行し、所定の条件を満たす評価及び疾患情報について、疾患情報と対応する提案サービスを含む画面を生成し、生成された画面を表示端末２００４に送信する一連の処理を行う。管理装置２００２の制御部２０２１は、管理装置２００２は、通知部２２１４を実行し、疾患情報が特定の条件を満たす場合に、疾患情報に関する情報を表示端末２００４に通知する処理を行う。 [Generate service screen]
The control unit 2021 of the management device 2002 executes the service screen generation unit 2213, generates a screen including the disease information and the corresponding proposal service for the evaluation and disease information satisfying the predetermined conditions, and displays the generated screen. Perform a series of processes to be transmitted to 2004. The control unit 2021 of the management device 2002 executes the notification unit 2214 in the management device 2002, and performs a process of notifying the display terminal 2004 of the information regarding the disease information when the disease information satisfies a specific condition.
〔サービス画面の表示〕
　表示端末２００４の制御部２０４１は、サービス画面を受信し、表示部２０４５に表示する。 [Display of service screen]
The control unit 2041 of the display terminal 2004 receives the service screen and displays it on the display unit 2045.
　上述の一連の手順により、患者等が計測端末２００３を利用して活動データを提供する場合に、この計測端末２００３から提供される患者等の活動データに基づいて生活習慣の分析結果を生成し、生成した分析結果に基づく疾患情報と対応する提案サービスを含む画面を生成できる。したがって、生成した画面を介して、活動データを反映したサービスを提案できる。 When a patient or the like provides activity data using the measurement terminal 2003 by the above-mentioned series of procedures, a lifestyle analysis result is generated based on the activity data of the patient or the like provided from the measurement terminal 2003. A screen including disease information based on the generated analysis result and the corresponding proposal service can be generated. Therefore, it is possible to propose a service that reflects the activity data through the generated screen.
　また、上述の一連の手順により、活動データだけでなく、活動データに基づいて分析された生活習慣をも反映したサービスを提案し得る。さらに、分析結果に基づく疾患情報をも反映したサービスを提案し得る。したがって、活動データだけでなく、活動データに基づく各種の情報をも反映したサービスを提案し得る。 In addition, by following the above series of procedures, it is possible to propose a service that reflects not only activity data but also lifestyle habits analyzed based on activity data. Furthermore, it is possible to propose a service that reflects disease information based on the analysis results. Therefore, it is possible to propose a service that reflects not only activity data but also various information based on activity data.
〔時系列情報等の送信〕
　管理装置２００２の制御部２０２１は、助言付与部２２１５を実行し、分析結果に付与された助言及び助言と分析結果とを対応づける対応情報である分析結果ＩＤを格納する。管理装置２００２の制御部２０２１は、時系列情報送信部２２１６を実行し、分析結果を時系列で表示可能な分析結果時系列情報、分析結果に関する管理装置２００２の利用者（例えば、医師等）からの助言、及び該助言と分析結果との対応情報を表示端末２００４に送信する。 [Sending time-series information, etc.]
The control unit 2021 of the management device 2002 executes the advice giving unit 2215, and stores the advice given to the analysis result and the analysis result ID which is the correspondence information for associating the advice with the analysis result. The control unit 2021 of the management device 2002 executes the time-series information transmission unit 2216, and the analysis result can be displayed in time series. And the corresponding information between the advice and the analysis result are transmitted to the display terminal 2004.
〔分析結果時系列情報、助言、及び対応情報の受信〕
　表示端末２００４の制御部２０４１は、分析結果受信部２４１１を実行し、分析結果時系列情報を受信する。表示端末２００４の制御部２０４１は、表示制御部２４１３を実行し、助言、及び対応情報を受信し、受信した助言の一覧を表示するよう表示部２０４５を制御する。 [Reception of analysis result time series information, advice, and response information]
The control unit 2041 of the display terminal 2004 executes the analysis result receiving unit 2411 and receives the analysis result time series information. The control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives advice and correspondence information, and controls the display unit 2045 to display a list of the received advice.
　図３２は、表示端末２００４の表示部２０４５における表示の一例であり、表示制御部２４１３が複数の助言を表示部２０４５に表示させたときの一例である。図３３は、図３２から続く表示の一例であり、表示制御部２４１３が分析結果時系列情報を表示部２０４５に表示させたときの一例である。以下、図３２及び図３３を用いて、分析結果時系列情報、助言、及び対応情報の受信及び表示について説明する。 FIG. 32 is an example of the display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 displays a plurality of advices on the display unit 2045. FIG. 33 is an example of the display continuing from FIG. 32, and is an example when the display control unit 2413 displays the analysis result time series information on the display unit 2045. Hereinafter, with reference to FIGS. 32 and 33, reception and display of analysis result time series information, advice, and correspondence information will be described.
　図３２に示す表示例において、表示部２０４５は、助言一覧を表示する助言一覧表示領域２０４５Ａと、分析結果時系列情報を表示する分析結果時系列情報表示領域２０４５Ｂと、患者等を表示する患者等表示領域２０４５Ｃと、を含む。 In the display example shown in FIG. 32, the display unit 2045 has an advice list display area 2045A for displaying an advice list, an analysis result time series information display area 2045B for displaying analysis result time series information, and a patient or the like for displaying a patient or the like. The display area 2045C and the like are included.
　図３２に示す表示例において、第１助言２０４５Ａ１ａ、第２助言２０４５Ａ１ｂ、第３助言２０４５Ａ１ｃ、及び第４助言２０４５Ａ１ｄを含む複数の助言２０４５Ａ１が助言一覧表示領域２０４５Ａに表示されている。符号２０４５Ａ１は、これらの助言を総括するものとする。第１助言２０４５Ａ１ａ、第２助言２０４５Ａ１ｂ、第３助言２０４５Ａ１ｃ、及び第４助言２０４５Ａ１ｄのそれぞれは、図２６に示す助言テーブル２２２６のＩＤ「Ｓ０００１」に格納された助言、ＩＤ「Ｓ０００２」に格納された助言、ＩＤ「Ｓ０００３」に格納された助言、及びＩＤ「Ｓ０００４」に格納された助言に対応している。 In the display example shown in FIG. 32, a plurality of advices 2045A1 including the first advice 2045A1a, the second advice 2045A1b, the third advice 2045A1c, and the fourth advice 2045A1d are displayed in the advice list display area 2045A. Reference numeral 2045A1 summarizes these advices. Each of the first advice 2045A1a, the second advice 2045A1b, the third advice 2045A1c, and the fourth advice 2045A1d was stored in the advice ID "S0002" stored in the ID "S0001" of the advice table 2226 shown in FIG. It corresponds to the advice, the advice stored in the ID "S0003", and the advice stored in the ID "S0004".
　複数の助言２０４５Ａ１が助言一覧表示領域２０４５Ａに表示されることにより、表示端末２００４を利用する患者等は、表示端末２００４が受信した対応情報を介して管理装置２００２の利用者からの助言を取得し得る。したがって、医師等は、分析結果に助言を付与することによって、患者等に助言を与え得る。よって、医師等からの助言を患者等に与えるサービスを提案し得る。 By displaying the plurality of advices 2045A1 in the advice list display area 2045A, the patient or the like using the display terminal 2004 obtains the advice from the user of the management device 2002 through the correspondence information received by the display terminal 2004. obtain. Therefore, doctors and the like can give advice to patients and the like by giving advice to the analysis results. Therefore, it is possible to propose a service that gives advice from a doctor or the like to a patient or the like.
　医師等からの助言を患者等に与えるサービスに関し、図３２に示す表示例では、看護師が付与した第２助言２０４５Ａ１ｂ「佐藤さんが、立ちくらみのようです。」を取得した医師は、立ちくらみを起こした患者等（佐藤さん）に対する検査を指示する第３助言２０４５Ａ１ｃ「明日の朝に検査の予定を入れてください。」を付与する。医師が付与した第３助言２０４５Ａ１ｃを取得したケアマネージャー（ケアマネ）は、第３助言２０４５Ａ１ｃに従って検査の予定を入れたことを示す第４助言２０４５Ａ１ｄ「明日の朝９時に検査を入れました」を付与する。患者等（佐藤さん）は、表示端末２００４を介して第２助言２０４５Ａ１ｂ～第４助言２０４５Ａ１ｄを取得し、第２助言２０４５Ａ１ｂ～第４助言２０４５Ａ１ｄに従って検査を受けるサービスを提供され得る。 Regarding the service of giving advice from doctors to patients, in the display example shown in FIG. 32, the doctor who obtained the second advice 2045A1b "Mr. Sato seems to be dizzy" is dizzy. The third advice 2045A1c "Please schedule the examination tomorrow morning." Will be given to the patient who caused the problem (Mr. Sato). The care manager (care manager) who obtained the 3rd advice 2045A1c given by the doctor gave the 4th advice 2045A1d "I put the test at 9 o'clock tomorrow morning" indicating that the examination was scheduled according to the 3rd advice 2045A1c. do. Patients and the like (Mr. Sato) may be provided with a service of acquiring the second advice 2045A1b to the fourth advice 2045A1d via the display terminal 2004 and undergoing an examination in accordance with the second advice 2045A1b to the fourth advice 2045A1d.
　図３２に示す表示例において、助言の指定に用いられる第１助言指定画像２０４５Ａ２ａ、第２助言指定画像２０４５Ａ２ｂ、及び第３助言指定画像２０４５Ａ２ｃが助言一覧表示領域２０４５Ａに表示されている。符号２０４５Ａ２は、これらの助言指定画像を総括するものとする。第１助言指定画像２０４５Ａ２ａ、第２助言指定画像２０４５Ａ２ｂ、及び第３助言指定画像２０４５Ａ２ｃは、それぞれ、第１助言２０４５Ａ１ａ、第２助言２０４５Ａ１ｂ、及び第３助言２０４５Ａ１ｃに対応付けられている。 In the display example shown in FIG. 32, the first advice designated image 2045A2a, the second advice designated image 2045A2b, and the third advice designated image 2045A2c used for designating the advice are displayed in the advice list display area 2045A. Reference numeral 2045A2 shall summarize these advisory designation images. The first advice designated image 2045A2a, the second advice designated image 2045A2b, and the third advice designated image 2045A2c are associated with the first advice 2045A1a, the second advice 2045A1b, and the third advice 2045A1c, respectively.
　助言一覧表示領域２０４５Ａに助言指定画像２０４５Ａ２が表示され、助言指定画像２０４５Ａ２のそれぞれが助言２０４５Ａ１と対応付けられていることにより、表示端末２００４を利用する患者等は、助言指定画像２０４５Ａ２を用いて、対応付けられた助言２０４５Ａ１を指定し得る。 Since the advice designation image 2045A2 is displayed in the advice list display area 2045A and each of the advice designation images 2045A2 is associated with the advice 2045A1, patients and the like using the display terminal 2004 can use the advice designation image 2045A2. The associated advice 2045A1 may be specified.
　図３２に示す表示例において、分析結果の時系列における変化を把握し得る情報である第１分析結果時系列情報２０４５Ｂ１ａ、第２分析結果時系列情報２０４５Ｂ１ｂ、及び第３分析結果時系列情報２０４５Ｂ１ｃが分析結果時系列情報表示領域２０４５Ｂに表示されている。符号２０４５Ｂ１は、これらの分析結果時系列情報を総括するものとする。 In the display example shown in FIG. 32, the first analysis result time series information 2045B1a, the second analysis result time series information 2045B1b, and the third analysis result time series information 2045B1c, which are information that can grasp the change in the analysis result in the time series, are The analysis result is displayed in the time series information display area 2045B. Reference numeral 2045B1 summarizes the time series information of these analysis results.
　分析結果時系列情報表示領域２０４５Ｂに分析結果時系列情報２０４５Ｂ１が表示されることにより、表示部２０４５に分析結果時系列情報を表示し、表示端末２００４を利用する患者等がこの表示を用いて分析結果の時系列における変化を把握し得るサービスを提案し得る。 By displaying the analysis result time series information 2045B1 in the analysis result time series information display area 2045B, the analysis result time series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 analyzes using this display. We can propose a service that can grasp the changes in the results over time.
　図３２に示す表示例において、図２５におけるＩＤ「Ａ０００１」に対応する分析結果と、ＩＤ「Ａ０００２」に対応する分析結果とを含む分析結果時系列情報２０４５Ｂ１が表示されている。表示端末２００４を利用する患者等は、分析結果時系列情報２０４５Ｂ１を用いて、ＩＤ「Ａ０００１」に対応する分析結果が生成された時点から、ＩＤ「Ａ０００２」に対応する分析結果が生成された時点までにおける分析結果の時系列における変化を把握し得る。 In the display example shown in FIG. 32, the analysis result time series information 2045B1 including the analysis result corresponding to the ID “A0001” in FIG. 25 and the analysis result corresponding to the ID “A0002” is displayed. Patients and the like who use the display terminal 2004 use the analysis result time series information 2045B1 from the time when the analysis result corresponding to the ID "A0001" is generated to the time when the analysis result corresponding to the ID "A0002" is generated. It is possible to grasp the changes in the time series of the analysis results up to.
　図３２に示す表示例において、ＩＤ「Ａ０００２」に対応する分析結果に助言が付与されていることを示す第１対応画像２０４５Ｂ２ａが分析結果時系列情報表示領域２０４５Ｂに表示されている。また、図３３に示す表示例において、ＩＤ「Ａ０００４」に対応する分析結果に助言が付与されていることを示す第２対応画像２０４５Ｂ２ｂが分析結果時系列情報表示領域２０４５Ｂに表示されている。符号２０４５Ｂ１は、これらの分析結果時系列情報を総括するものとする。 In the display example shown in FIG. 32, the first corresponding image 2045B2a indicating that advice is given to the analysis result corresponding to the ID "A0002" is displayed in the analysis result time series information display area 2045B. Further, in the display example shown in FIG. 33, the second corresponding image 2045B2b indicating that advice is given to the analysis result corresponding to the ID "A0004" is displayed in the analysis result time series information display area 2045B. Reference numeral 2045B1 summarizes the time series information of these analysis results.
　対応画像２０４５Ｂ２が分析結果時系列情報表示領域２０４５Ｂに表示されていることにより、表示端末２００４の利用者は、分析結果時系列情報から付与された助言を指定し、該助言を取得し得る。表示端末２００４の利用者が分析結果時系列情報から付与された助言を指定し、該助言を取得する手段として、例えば、利用者が入力部を介して対応画像２０４５Ｂ２を指定する情報を表示端末２００４に送信し、対応画像２０４５Ｂ２を指定する情報を受信した表示端末２００４が対応画像２０４５Ｂ２と対応する助言を助言一覧表示領域２０４５Ａに表示するよう、表示部２０４５を制御する手段が挙げられる。 Since the corresponding image 2045B2 is displayed in the analysis result time series information display area 2045B, the user of the display terminal 2004 can specify the advice given from the analysis result time series information and obtain the advice. As a means for the user of the display terminal 2004 to specify the advice given from the analysis result time-series information and to obtain the advice, for example, the information for which the user specifies the corresponding image 2045B2 via the input unit is displayed in the display terminal 2004. The display unit 2045 is controlled so that the display terminal 2004, which has received the information for designating the corresponding image 2045B2, displays the advice corresponding to the corresponding image 2045B2 in the advice list display area 2045A.
〔助言の指定〕
　図３２に戻る。表示端末２００４を利用する患者等は、助言指定画像２０４５Ａ２を用いて複数の助言２０４５Ａ１のうちいずれか１以上を指定する指定情報を送信する。表示端末２００４の制御部２０４１は、表示制御部２４１３を実行し、指定情報を受信し、分析結果時系列情報の表示範囲を指定された助言に対応付けられる分析結果を含む範囲に制御する。 [Designation of advice]
Return to FIG. A patient or the like using the display terminal 2004 transmits designated information for designating any one or more of the plurality of advices 2045A1 using the advice designation image 2045A2. The control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives the designated information, and controls the display range of the analysis result time series information to a range including the analysis result associated with the designated advice.
　図３３は、表示端末２００４を利用する患者等が図３２に示す第１助言指定画像２０４５Ａ２ａを用いて第１助言２０４５Ａ１ａ「佐藤さんが、立ちくらみのようです。」を指定し、分析結果時系列情報２０４５Ｂ１の表示範囲を指定された第１助言２０４５Ａ１ａに対応付けられる分析結果（図２５の分析結果ＩＤ「Ａ０００４」に対応する分析結果）を含む範囲に制御した状態を示している。 In FIG. 33, a patient or the like using the display terminal 2004 specifies the first advice 2045A1a "Mr. Sato seems to be dizzy" using the first advice designation image 2045A2a shown in FIG. 32, and the analysis result time series. It shows a state in which the display range of the information 2045B1 is controlled to a range including the analysis result (analysis result corresponding to the analysis result ID “A0004” in FIG. 25) associated with the designated first advice 2045A1a.
　第１助言２０４５Ａ１ａは、図２６に示す助言テーブル２２２６のＩＤ「Ｓ０００２」に格納された助言と対応し、分析結果ＩＤ「Ａ０００４」によって、図２５に示す分析結果テーブル２２２５の分析結果ＩＤ「Ａ０００４」に格納された分析結果と対応付けられている。 The first advice 2045A1a corresponds to the advice stored in the ID “S0002” of the advice table 2226 shown in FIG. 26, and the analysis result ID “A0004” corresponds to the analysis result ID “A0004” of the analysis result table 2225 shown in FIG. It is associated with the analysis result stored in.
　図３３に示す表示例では、分析結果時系列情報２０４５Ｂ１の表示範囲は、分析結果ＩＤ「Ａ０００４」に格納された分析結果を含む範囲に制御されている。また、分析結果ＩＤ「Ａ０００４」に格納された分析結果に対応する患者等である「佐藤花子」が患者等表示領域２０４５Ｃに表示されている。 In the display example shown in FIG. 33, the display range of the analysis result time series information 2045B1 is controlled to the range including the analysis result stored in the analysis result ID “A0004”. Further, "Hanako Sato", which is a patient or the like corresponding to the analysis result stored in the analysis result ID "A0004", is displayed in the patient or the like display area 2045C.
　分析結果時系列情報２０４５Ｂ１の表示範囲が分析結果ＩＤ「Ａ０００４」に格納された分析結果を含む範囲に制御されていることにより、表示端末２００４を利用する患者等は、第１助言２０４５Ａ１ａと対応する分析結果及び該分析結果の時系列における変化を把握し得る。したがって、表示部２０４５に分析結果時系列情報を表示し、表示端末２００４を利用する患者等がこの表示を用いて分析結果の時系列における変化を把握し得るサービスを提案し得る。 Since the display range of the analysis result time series information 2045B1 is controlled to the range including the analysis result stored in the analysis result ID "A0004", the patients and the like using the display terminal 2004 correspond to the first advice 2045A1a. It is possible to grasp the analysis result and the change of the analysis result in the time series. Therefore, it is possible to propose a service in which the analysis result time-series information is displayed on the display unit 2045, and the patient or the like using the display terminal 2004 can grasp the change in the analysis result in the time-series by using this display.
　分析結果ＩＤ「Ａ０００４」に格納された分析結果に対応する患者等である「佐藤花子」が患者等表示領域２０４５Ｃに表示されていることにより、表示端末２００４を利用する患者等は、分析結果時系列情報がいずれの患者等のものであるか把握し得る。 Since "Hanako Sato", which is a patient or the like corresponding to the analysis result stored in the analysis result ID "A0004", is displayed in the patient or the like display area 2045C, the patient or the like who uses the display terminal 2004 is at the time of the analysis result. It is possible to grasp which patient the series information belongs to.
〔対応画像の選択〕
　図３２に戻る。表示端末２００４を利用する患者等は、複数の対応画像２０４５Ｂ２のうちいずれか１以上を指定する選択情報を送信する。表示端末２００４の制御部２０４１は、表示制御部２４１３を実行し、選択情報を受信し、選択情報に助言に対応付けられる助言を表示するよう表示部２０４５を制御する。 [Selection of compatible image]
Return to FIG. The patient or the like using the display terminal 2004 transmits selection information for designating any one or more of the plurality of corresponding images 2045B2. The control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives the selection information, and controls the display unit 2045 so as to display the advice associated with the advice on the selection information.
　図３４は、図３２から続く表示の一例であり、対応画像２０４５Ｂ２ａを選択する選択情報の受信に応じて、表示制御部２４１３が対応画像２０４５Ｂ２ａに関する助言２０４５Ａ１ｄ（図２６の助言ＩＤ「Ｓ０００１」に対応する助言）を表示部２０４５に表示させたときの一例である。表示端末２００４を利用する患者等は、血圧の上昇を示す分析結果ＩＤ「Ａ０００２」に関する助言を取得するために、対応画像２０４５Ｂ２ａを選択する。表示制御部２４１３は、対応画像２０４５Ｂ２ａを選択する選択情報の受信に応じて、表示制御部２４１３が対応画像２０４５Ｂ２ａに関する助言２０４５Ａ１ｄ（図２６の助言ＩＤ「Ｓ０００１」に対応する助言）を表示するよう制御する。これにより、図３４に示す表示例では、助言ＩＤ「Ｓ０００１」に対応する助言「運動後の一時的なもので、問題ありません。」が表示されている。したがって、表示端末２００４を利用する患者等がこの助言を取得し、利用し得る。分析結果時系列情報によって分析結果の変化を把握した患者等が対応画像及び対応情報を介して分析結果に対応する助言を取得することにより、患者等は、他の利用者が付与した助言を利用し得る。 FIG. 34 is an example of the display continuing from FIG. 32, and the display control unit 2413 corresponds to the advice 2045A1d (corresponding to the advice ID “S0001” in FIG. 26) regarding the corresponding image 2045B2a in response to the reception of the selection information for selecting the corresponding image 2045B2a. This is an example when the display unit 2045 is displayed. A patient or the like using the display terminal 2004 selects the corresponding image 2045B2a in order to obtain advice regarding the analysis result ID “A0002” indicating an increase in blood pressure. The display control unit 2413 controls the display control unit 2413 to display the advice 2045A1d (advice corresponding to the advice ID “S0001” in FIG. 26) regarding the corresponding image 2045B2a in response to the reception of the selection information for selecting the corresponding image 2045B2a. do. As a result, in the display example shown in FIG. 34, the advice "Temporary after exercise, no problem" corresponding to the advice ID "S0001" is displayed. Therefore, patients and the like who use the display terminal 2004 can obtain and use this advice. The patient, etc. who grasped the change in the analysis result by the analysis result time-series information obtains the advice corresponding to the analysis result through the corresponding image and the corresponding information, and the patient, etc. uses the advice given by other users. Can be done.
　以上、本発明者によってなされた発明を実施の形態に基づき具体的に説明したが、本発明は前記実施の形態に限定されるものではなく、その要旨を逸脱しない範囲で種々変更可能であることはいうまでもない。たとえば、ユーザ端末１１０は、スマートフォン以外にも、ノート型ＰＣや、タブレット端末等の様々な形態の端末を全て含むものである。 Although the invention made by the present inventor has been specifically described above based on the embodiment, the present invention is not limited to the embodiment and can be variously modified without departing from the gist thereof. Needless to say. For example, the user terminal 110 includes all terminals of various forms such as a notebook PC and a tablet terminal in addition to a smartphone.
　また、上記した実施の形態は本発明を分かりやすく説明するために詳細に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。また、ある実施の形態の構成の一部を他の実施の形態の構成に置き換えることが可能であり、また、ある実施の形態の構成に他の実施の形態の構成を加えることも可能である。また、各実施の形態の構成の一部について、他の構成の追加、削除、置換しても良い。 Further, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one including all the described configurations. Further, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. .. In addition, other configurations may be added, deleted, or replaced with respect to a part of the configurations of each embodiment.
　また、上記の各構成、機能、処理部は、それらの一部又は全部を、ハードウェア（例えば、集積回路）で実現してもよい。また、上記の各構成、機能、処理部は、プロセッサがそれぞれの機能を実現するプログラムを解釈し、実行するネットワーク経由もしくはディスク等記憶媒体によるインストール型のソフトウェア、また、ＡＳＰ等のネットワーク型アプリケーションで実現してもよい。各機能を実現するプログラム、テーブル、ファイル等の情報は、メモリや、ハードディスク、ＳＳＤ（ＳｏｌｉｄＳｔａｔｅＤｒｉｖｅ）等の記録装置、又は、ＩＣカード、ＳＤカード、ＤＶＤ等の記録媒体に置くことができる。 Further, each of the above configurations, functions, and processing units may realize a part or all of them by hardware (for example, an integrated circuit). In addition, each of the above configurations, functions, and processing units is installed-type software via a network or by a storage medium such as a disk, or a network-type application such as an ASP, in which a processor interprets and executes a program that realizes each function. It may be realized. Information such as programs, tables, and files that realize each function can be placed in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.
１００　　計測装置
１１０　　ユーザ端末
１２０　　管理サーバ
１３０　　ユーザ情報記憶部
１３１　　事業所情報記憶部
１３２　　分析結果記憶部
１３３　　分析結果画面記憶部
１３４　　サービス画面記憶部
１３５　　ビッグデータ記憶部
１４０　　活動データ分析部
１５０　　分析結果画面生成部
１６０　　分析結果画面提供部
１７０　　サービス画面生成部
１８０　　サービス画面提供部
１９０　　事業所端末
１１００　分析結果画面
１４００　サービス画面
１７００　アラート
２００１　管理システム
２００２　管理装置
２０２１　制御部
２２１１　活動データ受信部
２２１２　活動データ分析部
２２１２Ａ　評価生成部
２２１２Ｂ　疾患情報生成部
２２１２Ｃ　分析結果生成部
２２１３　サービス画面生成部
２２１４　通知部
２２１５　助言付与部
２２１６　時系列情報送信部
２０２２　記憶部
２２２１　端末状態テーブル
２２２２　活動データテーブル
２２２３　基準情報テーブル
２２２４　疾患情報テーブル
２２２５　分析結果テーブル
２２２６　助言テーブル
２０２３　通信部
２００３　計測端末
２００４　表示端末
２０４１　制御部
２４１１　分析結果受信部
２４１２　助言受信部
２４１３　表示制御部
２０４２　記憶部
２０４３　通信部
２０４４　計測部
２０４５　表示部
２０４５Ａ　助言表示領域
２０４５Ａ１　助言
２０４５Ａ２　助言指定画像
２０４５Ｂ　分析結果時系列情報表示領域
２０４５Ｂ１　分析結果時系列情報
２０４５Ｃ　患者等表示領域
Ｎ１　　　第１ネットワーク
Ｎ２　　　第２ネットワーク
Ｗ　　　　管理装置側無線デバイス

  100 Measuring device 110 User terminal 120 Management server 130 User information storage unit 131 Business office information storage unit 132 Analysis result storage unit 133 Analysis result screen storage unit 134 Service screen storage unit 135 Big data storage unit 140 Activity data analysis unit 150 Analysis result screen Generation unit 160 Analysis result screen providing unit 170 Service screen generation unit 180 Service screen providing unit 190 Office terminal 1100 Analysis result screen 1400 Service screen 1700 Alert 2001 Management system 2002 Management device 2021 Control unit 2211 Activity data receiving unit 2212 Activity data analysis unit 2212A Evaluation generation unit 2212B Disease information generation unit 2212C Analysis result generation unit 2213 Service screen generation unit 2214 Notification unit 2215 Advice granting unit 2216 Time series information transmission unit 2022 Storage unit 2221 Terminal status table 2222 Activity data table 2223 Reference information table 2224 Disease information Table 2225 Analysis result table 2226 Advice table 2023 Communication unit 2003 Measurement terminal 2004 Display terminal 2041 Control unit 2411 Analysis result reception unit 2412 Advice reception unit 2413 Display control unit 2042 Storage unit 2043 Communication unit 2044 Measurement unit 2045 Display unit 2045A Advice display area 2045A1 Advice 2045A2 Advice Designated image 2045B Analysis result time series information display area 2045B1 Analysis result time series information 2045C Patient display area N1 1st network N2 2nd network W Management device side wireless device

Claims (12)

  1. 　端末とネットワークを介して接続される管理装置であって、
    　前記端末から提供される活動データに基づき、生活習慣の分析結果を生成する活動データ分析部と、
    　前記分析結果に基づく疾患リスクと疾患進行度との少なくともいずれか一方の疾患情報と対応する提案サービスを含む画面を生成するサービス画面生成部と、
    を備える、管理装置。     A management device that is connected to a terminal via a network.
    An activity data analysis unit that generates lifestyle analysis results based on the activity data provided by the terminal.
    A service screen generation unit that generates a screen including a disease information of at least one of a disease risk and a disease progression based on the analysis result and a corresponding proposal service, and a service screen generation unit.
    A management device.
  2. 　前記活動データ分析部は、
    　前記活動データに関する基準情報に基づいて前記端末から提供される前記活動データに対する評価を生成する評価生成部と、
    　前記評価に基づいて前記疾患情報を生成する疾患情報生成部と、
    　前記評価及び前記疾患情報に基づいて前記分析結果を生成する分析結果生成部と、
    を有する、請求項１に記載の管理装置。     The activity data analysis department
    An evaluation generation unit that generates an evaluation for the activity data provided from the terminal based on the reference information regarding the activity data.
    A disease information generation unit that generates the disease information based on the evaluation,
    An analysis result generation unit that generates the analysis result based on the evaluation and the disease information,
    The management device according to claim 1.
  3. 　前記サービス画面生成部は、前記評価及び前記疾患情報が所定の条件を満たす場合に前記提案サービスを含む画面を生成する、請求項２に記載の管理装置。 The management device according to claim 2, wherein the service screen generation unit generates a screen including the proposed service when the evaluation and the disease information satisfy a predetermined condition.
  4. 　前記疾患情報が特定の条件を満たす場合に、前記疾患情報に関する情報を前記端末に通知する通知部をさらに有する、請求項１から３のいずれか１項に記載の管理装置。 The management device according to any one of claims 1 to 3, further comprising a notification unit for notifying the terminal of information on the disease information when the disease information satisfies a specific condition.
  5. 　無線通信を用いて前記端末と接続可能に構成される、請求項１から４のいずれか１項に記載の管理装置。 The management device according to any one of claims 1 to 4, which is configured to be connectable to the terminal using wireless communication.
  6. 　前記端末から前記無線通信を用いて前記活動データを受信可能な活動データ受信部をさらに備え、
    　前記活動データ受信部は、複数の前記端末のうち、前記無線通信を用いて同時に接続可能な所定数以下の前記端末から前記活動データを同時に受信可能であり、続いて、前記活動データの送信元であった前記端末とは異なる端末であって、前記所定数以下の前記端末から前記活動データを同時に受信可能である、請求項５に記載の管理装置。     An activity data receiving unit capable of receiving the activity data from the terminal using the wireless communication is further provided.
    The activity data receiving unit can simultaneously receive the activity data from a predetermined number or less of the terminals that can be simultaneously connected using the wireless communication among the plurality of terminals, and subsequently, the source of the activity data. The management device according to claim 5, wherein the terminal is different from the terminal, and can simultaneously receive the activity data from the predetermined number or less of the terminals.
  7. 　前記活動データ受信部は、前記活動データの送信元であった前記端末から前記活動データの受信を開始及び／又は完了してから所定時間が経過した場合に、前記送信元であった前記端末からの前記活動データの受信を再び可能にする、請求項６に記載の管理装置。 The activity data receiving unit starts and / or completes receiving the activity data from the terminal that was the source of the activity data, and when a predetermined time has elapsed, the terminal that was the source of the activity data. The management device according to claim 6, which enables the reception of the activity data of the above-mentioned activity data again.
  8. 　前記活動データ受信部は、前記複数ある前記端末の全てから前記活動データを受信した場合に、前記送信元であった前記端末からの前記活動データの受信を再び可能にする、請求項６又は７に記載の管理装置。 Claim 6 or 7 that the activity data receiving unit enables the reception of the activity data from the terminal which was the transmission source again when the activity data is received from all of the plurality of terminals. The management device described in.
  9. 　前記分析結果が複数あり、これら複数の前記分析結果は、前記活動データ分析部によって生成された日付にそれぞれ関連付けられており、
    　前記管理装置は、
    　前記複数の前記分析結果のそれぞれに対して任意に助言を付与可能な助言付与部と、
    　前記複数の前記分析結果を時系列で表示可能な分析結果時系列情報、及び前記分析結果と前記助言との対応づけである対応情報を前記端末に送信可能な時系列情報送信部と、
    をさらに備える、請求項１から８のいずれか１項に記載の管理装置。     There are a plurality of the analysis results, and each of the plurality of analysis results is associated with a date generated by the activity data analysis unit.
    The management device is
    An advice-giving unit capable of arbitrarily giving advice to each of the plurality of analysis results,
    An analysis result time-series information capable of displaying the plurality of analysis results in time series, and a time-series information transmission unit capable of transmitting correspondence information corresponding to the analysis result and the advice to the terminal.
    The management device according to any one of claims 1 to 8, further comprising.
  10. 　請求項９に記載の管理装置と、前記端末とを含んで構成され、
    　前記端末は、
    　前記助言付与部によって付与された複数の前記助言を前記管理装置から受信可能な助言受信部と、
    　前記分析結果時系列情報を表示可能な表示部と、
    　前記表示部での表示内容を制御する表示制御部と、
    を備え、
    　前記表示制御部は、複数の前記助言のうちいずれか１以上の前記助言を指定する指定情報を受信した場合に、前記対応情報に基づき、前記分析結果時系列情報の表示範囲を、前記助言に対応づけられる前記分析結果を含む範囲に制御可能である、管理システム。     The management device according to claim 9 and the terminal are included.
    The terminal
    An advice receiving unit capable of receiving a plurality of the advice given by the advice giving unit from the management device,
    A display unit capable of displaying the analysis result time series information and
    A display control unit that controls the display contents on the display unit,
    With
    When the display control unit receives the designated information that specifies one or more of the advices out of the plurality of advices, the display control unit sets the display range of the analysis result time series information to the advices based on the corresponding information. A management system that is controllable to the extent that it includes the associated analysis results.
  11. 　前記表示部は、前記対応情報によって前記助言と対応付けられる前記分析結果について、前記対応情報と関連付けられた対応画像を表示可能であり、
    　前記表示制御部は、複数の前記対応画像のうちいずれか１以上の前記対応画像を選択する選択情報を受信した場合に、前記対応画像に関する前記対応情報によって対応付けられる前記助言を表示するよう前記表示部を制御可能である、請求項１０に記載の管理システム。     The display unit can display a corresponding image associated with the corresponding information with respect to the analysis result associated with the advice by the corresponding information.
    When the display control unit receives selection information for selecting one or more of the corresponding images from the plurality of corresponding images, the display control unit displays the advice associated with the corresponding information regarding the corresponding image. The management system according to claim 10, wherein the display unit can be controlled.
  12. 　端末とネットワークを介して接続される管理装置に、
    　前記端末から提供される活動データに基づき、生活習慣の分析結果を生成する活動データ分析ステップと、
    　前記分析結果に基づく疾患リスクと疾患進行度との少なくともいずれか一方の疾患情報と対応する提案サービスを含む画面を生成するサービス画面生成ステップと、
    を実行させる、プログラム。

          To the management device connected to the terminal via the network
    An activity data analysis step that generates a lifestyle analysis result based on the activity data provided from the terminal, and
    A service screen generation step that generates a screen including a disease information of at least one of a disease risk and a disease progression based on the analysis result and a corresponding proposed service, and a service screen generation step.
    A program that runs.
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