JP7395187B2 - Management systems and programs - Google Patents

Description

The present invention relates to a management device, a management system, and a program.

In recent years, the number of medical facilities, nursing care facilities, etc. (hereinafter also referred to as "medical facilities, etc.") that manage the health of patients, nursing facility users, etc. (hereinafter also referred to as "patients, etc.") has been increasing. On the other hand, even if these facilities promote health management, it does not necessarily mean that patients and others will continue to measure their health status. Therefore, it is not easy to constantly obtain health information about all patients.

For example, Patent Document 1 proposes a wearable user status information acquisition device that is worn by a user such as a patient. This device includes a biometric information acquisition unit that is attached to the wrist of a user and that acquires biometric information indicating the biometric characteristics of the user, an authentication unit that authenticates the user using the biometric information, and a health information acquisition means for acquiring health information indicating the health condition of the user; location information acquisition means for acquiring position information indicating the location of the user; user authentication information indicating the authenticated user; and a control means for storing the information and the health information in association with each other as user status information. According to the invention described in Patent Document 1, since the device is attached to the user's wrist, the user's health information and location information can be constantly acquired without placing any burden on the user of the device.

Japanese Patent Application Publication No. 2013-212315

However, the device described in Patent Document 1 is only capable of constantly acquiring health information and location information of a patient, etc., without placing a burden on the patient. In addition to acquiring health information and location information of patients, if we can use activity data including health information to propose medical services that are beneficial to patients, we can prevent diseases and reduce medical costs. It can lead to this.

An object of the present invention is to provide a management device and system that can propose useful services to patients and the like using activity data acquired from the patients and the like.

As a result of intensive studies to solve the above problems, the present inventors have developed an activity data analysis section that generates lifestyle analysis results based on activity data provided from a terminal, and a disease risk and disease analysis section based on the analysis results. The present invention has been completed based on the discovery that the above object can be achieved by including a service screen generation unit that generates a screen that includes disease information on at least one of the disease progression level and the corresponding proposed service. . Specifically, the present invention provides the following.

The invention according to a first feature is a management device connected to a terminal via a network, comprising: an activity data analysis unit that generates a lifestyle analysis result based on activity data provided from the terminal; A management device is provided that includes a service screen generation unit that generates a screen including a proposed service corresponding to disease information of at least one of disease risk and disease progression based on analysis results.

According to the invention according to the first feature, when a patient etc. uses a terminal to provide activity data, an analysis result of lifestyle habits is generated based on the activity data of the patient etc. provided from this terminal, It is possible to generate a screen containing disease information and corresponding proposed services based on the generated analysis results. Therefore, services that reflect activity data can be proposed via the generated screen.

According to the invention according to the first feature, it is possible to propose a service that reflects not only activity data but also lifestyle habits analyzed based on the activity data. Furthermore, it is possible to propose services that also reflect disease information based on analysis results. Therefore, it is possible to propose services that reflect not only activity data but also various information based on activity data.

Therefore, according to the first aspect of the invention, it is possible to provide a management device that can propose useful services to patients and the like using activity data acquired from the patients and the like.

The invention according to a second characteristic is the invention according to the first characteristic, wherein the activity data analysis unit generates an evaluation for the activity data provided from the terminal based on reference information regarding the activity data. Provided is a management device, comprising: an evaluation generation section; a disease information generation section that generates the disease information based on the evaluation; and an analysis result generation section that generates the analysis result based on the evaluation and the disease information. do.

When a human evaluates activity data, unless reference information is used as a basis for evaluation, the evaluation may include the subjectivity and arbitrary judgments of the person doing the evaluation. Therefore, when disease information is generated based on an evaluation performed by a human without using reference information, there may be room for improvement in the objectivity of the disease information due to subjectivity and arbitrary judgments included in the evaluation. Analysis results generated based on disease information that has room for improvement in objectivity may also have room for improvement in objectivity.

According to the invention related to the second feature, since the evaluation of the activity data is generated based on the reference information, it is possible to suppress the influence of the subjectivity of the person performing the evaluation, arbitrary judgment, etc. Therefore, evaluations with improved objectivity may be generated. Since disease information is generated based on the evaluation generated in this way and an analysis result is generated based on the generated disease information, analysis results with improved objectivity can be generated.

Therefore, according to the invention according to the second feature, it is possible to provide a management device that can propose useful services to patients and the like using evaluation and analysis results with improved objectivity.

The invention according to a third characteristic is the invention according to the second characteristic, wherein the service screen generation unit generates a screen including the proposed service when the evaluation and the disease information satisfy a predetermined condition. , provide management equipment.

If a patient's activity data suggests that he or she may have a health condition, the patient may request medical services to investigate the possibility of a health condition and/or Additional beneficial services, such as corresponding medical services, may be required. If a patient, etc. may be suffering from some disease, the patient, etc. may receive useful services such as medical services that examine the possibility of suffering from the disease and/or medical services related to treatment of the disease. More may be needed. If both of these possibilities are suggested, the patient may be in even greater need of beneficial services.

According to the invention according to the third feature, the predetermined condition corresponds to the case where the patient etc. needs the service even more, such as the condition corresponding to the case where the evaluation and disease information indicate the above-mentioned possibility. Since a screen including the proposed service is generated when the above conditions are satisfied, services that are useful to the patient etc. can be proposed when the patient etc. need the service even more.

Therefore, according to the invention according to the third feature, the management device is capable of proposing useful services to patients, etc., using activity data etc. acquired from patients, etc. whose health conditions are managed by nursing facilities, medical facilities, etc. can be provided.

The invention according to the fourth feature is the invention according to any one of the first to third features, wherein when the disease information satisfies a specific condition, information regarding the disease information is notified to the terminal. The present invention provides a management device further comprising a notification unit.

According to the invention according to the fourth feature, when a patient or the like may be suffering from some disease, the patient or the like can grasp information related to the disease information through the terminal. This makes it possible to provide a management device that can propose services that are even more beneficial to patients and the like.

The invention according to a fifth feature is the 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.

According to the invention related to the fifth feature, the management device can acquire activity data provided from the terminal without connecting the management device and the terminal by wire. Thereby, activity data can be acquired even in a situation where a wired connection between the management device and the terminal is not possible. Therefore, according to the invention related to the fifth feature, it is possible to provide a management device that can suggest useful services to patients etc. using activity data etc. more reliably acquired from patients etc.

The invention according to a 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, the activity data receiving unit , among the plurality of terminals, the activity data can be simultaneously received from a predetermined number or less of the terminals that can be simultaneously connected using the wireless communication, and then the terminal that was the source of the activity data provides a management device that can simultaneously receive the activity data from the predetermined number or less of the terminals, which are different terminals.

In wireless communication, the number of terminals that can be simultaneously connected using wireless communication may be limited to a relatively small number due to restrictions on radio wave bands that can be used in wireless communication and/or restrictions on communication devices used for wireless communication. When connecting via wireless communication, if the total number of target terminals is greater than the number of terminals that can be connected at the same time, the management device cannot connect to all the target terminals at the same time due to the limit on the number of terminals that can be connected at the same time. Therefore, it may not be possible to receive activity data from terminals that are not connected at the same time.

According to the invention according to the sixth feature, the number of terminals that can be simultaneously connected using wireless communication is smaller than the total number of terminals due to restrictions on available radio bands and/or restrictions on communication devices used for wireless communication. Even if limited to a predetermined number, activity data may be received from more terminals than the predetermined number. Therefore, activity data can be received more reliably and services based on the activity data can be proposed.

Therefore, according to the invention according to the sixth feature, it is possible to provide a management device that can propose useful services to patients etc. using activity data etc. more reliably acquired from patients etc.

The invention according to a seventh feature is the invention according to the sixth feature, wherein the activity data receiving unit starts and/or completes reception of the activity data from the terminal that is the source of the activity data. The present invention provides a management device that enables the reception of the activity data from the terminal that was the transmission source again when a predetermined period of time has passed since the transmission of the activity data.

The terminal may also measure and accumulate activity data 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 may not be able to receive the activity data measured and accumulated by the terminal after providing the activity data.

According to the invention according to the seventh feature, when a predetermined period of time has elapsed for a terminal that has received activity data, the terminal receives activity data that can be provided after the terminal starts and/or completes reception of the activity data. can be received. Therefore, it is possible to more reliably receive activity data that can be provided by the terminal after providing the activity data, and to propose a service based on the activity data.

Therefore, according to the invention related to the seventh feature, it is possible to provide a management device that can propose useful services to patients etc. using activity data etc. more reliably acquired from patients etc.

The invention according to an eighth feature is the invention according to the sixth or seventh feature, wherein when the activity data receiving unit receives the activity data from all of the plurality of terminals, The present invention provides a management device that makes it possible again to receive the activity data from the terminal.

According to the invention according to the eighth feature, when the terminal that has received the activity data receives the activity data from all of the plurality of terminals, the terminal starts and/or completes receiving the activity data. May receive activity data as it becomes available. Therefore, it is possible to more reliably receive activity data that can be provided by the terminal after starting and/or completing the activity data, and to propose services based on the activity data.

Therefore, according to the invention according to the eighth feature, it is possible to provide a management device that can suggest useful services to patients etc. using activity data etc. more reliably acquired from patients etc.

The invention according to the ninth feature is the invention according to any one of the first to eighth features, wherein there is a plurality of the analysis results, and the plurality of analysis results are generated by the activity data analysis section. The management device includes an advice giving section that can arbitrarily give advice to each of the plurality of analysis results, and a advice giving section that can display the plurality of analysis results in chronological order. The present invention provides a management device further comprising: a time-series information transmitter capable of transmitting analysis result time-series information and correspondence information that is a correspondence between the analysis result and the advice to the terminal.

According to the invention related to the ninth feature, the user of the management device, exemplified by a doctor, nurse, care manager, etc., can give advice to the analysis result. Since the time-series information transmitting unit can send correspondence information, which is a correspondence between analysis results and advice, to the terminal, patients etc. using the terminal can receive information from the management device user via the correspondence information received by the terminal. can obtain advice. Therefore, a doctor or the like can give advice to a patient or the like by adding advice to the analysis result. Therefore, it is possible to propose a service that provides advice from a doctor or the like to a patient or the like.

According to the invention related to the ninth feature, it is possible to propose a service that provides analysis result time-series information that can be useful for understanding changes in analysis results over time. In addition, if we propose a service that provides patients with advice from the users of the management device, and a service that provides time-series analysis result information, we will analyze the analysis results displayed in chronological order using the corresponding information. It is possible to further propose a service that makes it possible to obtain advice corresponding to the results.

Therefore, according to the invention according to the ninth feature, the management device is capable of proposing useful services to patients, etc., using activity data etc. acquired from patients, etc. whose health conditions are managed by nursing facilities, medical facilities, etc. and systems can be provided.

The invention according to the tenth characteristic is configured to include the management device according to the invention according to the ninth characteristic, and the terminal, and the terminal transmits the plurality of advices given by the advice giving unit to the management device. a display unit capable of displaying the analysis result time-series information; and a display control unit controlling display content on the display unit, the display control unit comprising a plurality of the When designation information specifying any one or more of the advice is received, the display range of the analysis result time-series information is changed to a range that includes the analysis results associated with the advice based on the correspondence information. Provides a management system that can be controlled.

According to the invention according to the tenth characteristic, a service is proposed in which analysis result time series information is displayed on a display section, and a patient or the like using a terminal can use this display to grasp changes in the analysis results over time. obtain.

Further, according to the invention according to the tenth feature, when a service that displays analysis result time series information on the display unit is proposed, a patient, etc. using the terminal specifies one or more of a plurality of advices. Sometimes, a service may be proposed that controls the display range of analysis result time-series information to include the analysis results associated with the advice and displays the range that includes the analysis results associated with the advice.

Therefore, according to the tenth aspect of the invention, the management device is capable of proposing useful services to patients, etc., using activity data acquired from patients, etc., whose health conditions are managed by nursing care facilities, medical facilities, etc. and systems can be provided.

The invention according to an eleventh characteristic is the invention according to the tenth characteristic, in which the display unit displays a display unit that displays the analysis result that is associated with the advice based on the correspondence information among the analysis results included in the analysis result time series information. Regarding the analysis result, a corresponding image associated with the corresponding information can be displayed, and the display control unit, when receiving selection information for selecting one or more of the plurality of corresponding images, , provides a management system capable of controlling the display unit to display the advice associated with the correspondence information regarding the corresponding image.

According to the invention according to the eleventh feature, a patient or the like who uses the terminal can understand that there is advice associated with the analysis result based on the corresponding image. By transmitting selection information for selecting one or more corresponding images, a patient or the like using a terminal can command the display of advice associated with correspondence information regarding the corresponding images, and can obtain and use the advice. This allows a patient or the like using the terminal to know whether there is advice corresponding to the analysis result. Furthermore, a patient or the like using the terminal can command the display of advice corresponding to the analysis results, obtain the advice, and propose services that can be used.

Therefore, according to the invention according to the eleventh feature, the management device is capable of proposing useful services to patients, etc., using activity data etc. acquired from patients, etc. whose health conditions are managed by nursing facilities, medical facilities, etc. and systems can be provided.

The invention according to the twelfth characteristic is in a different category from the invention according to the first characteristic.

According to the present invention, it is possible to provide a management device and a system that can propose useful services to patients etc. using activity data etc. acquired from patients etc. whose health conditions are managed by nursing care facilities, medical facilities, etc.

FIG. 1 is a diagram showing an overview of a configuration example of a health service providing system according to a first embodiment of the present invention. FIG. 2 is a diagram showing an overview of user information and activity data stored in the user information storage unit of the management server in the first embodiment. FIG. 3 is a diagram illustrating an overview of office information and analysis results stored in the office information storage unit of the management server in the first embodiment. FIG. 4 is a flowchart showing an overview of the overall processing in the first embodiment. FIG. 5 is a flowchart showing an overview of user information acquisition processing and user information storage processing in the first embodiment. FIG. 6 is a flowchart showing an overview of the office information acquisition process and the office information storage process in the first embodiment. FIG. 7 is a diagram showing an overview of the measuring device in the first embodiment. FIG. 8 is a flowchart showing an overview of data acquisition processing from the measuring device in the first embodiment. FIG. 9 is a diagram showing an overview of the relationship between average numerical information and analysis results in the first embodiment. FIG. 10 is a flowchart showing an overview of activity data analysis processing 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 overview of analysis result screen generation processing and analysis result screen storage processing in the first embodiment. FIG. 13 is a flowchart showing an overview of a configuration example of analysis result screen providing processing in the first embodiment. FIG. 14 is a diagram showing an overview of the service screen in the first embodiment. FIG. 15 is a flowchart showing an overview of service screen generation processing and service screen storage processing in the first embodiment. FIG. 16 is a flowchart showing an overview of a configuration example of service screen providing processing in the first embodiment. FIG. 17 is a diagram showing an overview of alerts in the first embodiment. FIG. 18 is a flowchart showing an overview of alert generation processing in the first embodiment. FIG. 19 is a flowchart showing an overview of alert provision processing in the first embodiment. FIG. 20 is a block diagram showing an example of the hardware configuration and software configuration of a 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 health management processing executed by the management device 2002. FIG. 28 is a flowchart illustrating an example of activity data reception processing executed by the management device 2002. FIG. 29 is a flowchart illustrating an example of activity data analysis processing executed by the management device 2002. FIG. 30 is a flowchart illustrating an example of service screen generation processing executed by the management device 2002. FIG. 31 is a flowchart illustrating an example of analysis result time-series information display processing executed by the display terminal 2004. FIG. 32 is an example of a display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 causes the display unit 2045 to display a plurality of pieces of advice. FIG. 33 is an example of a display continued from FIG. 32, and is an example when the display control unit 2413 causes the display unit 2045 to display analysis result time series information. FIG. 34 is an example of a display continued from FIG. 32, and is an example when the display control unit 2413 causes the display unit 2045 to display advice.

Hereinafter, embodiments for carrying out the present invention will be described with reference to the drawings. Note that this is just an example, and the technical scope of the present invention is not limited to this. In addition, in all the figures for explaining the embodiment, the same parts are given the same reference numerals in principle, and repeated explanations thereof will be omitted.

<<First embodiment>>
A first embodiment of the present invention will be described below.

<System configuration>
FIG. 1 is a diagram showing an overview of a configuration example of a health service providing system according to a first embodiment of the present invention.

As shown in FIG. 1, the health service providing system includes a measuring device 100, a user terminal 110 connected to the measuring device 100, and a user terminal 110 connected to 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, it is preferable that the health service providing system further includes a big data storage unit 135 and/or a business office terminal 190. It is preferable that the big data storage unit 135 and/or the office terminal 190 be 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 section 135, and a business office terminal 190.

The user terminal 110 is not particularly limited as long as it is a terminal that can be connected to the measuring device 100, and may be a conventional terminal such as a smartphone, a tablet terminal, a notebook computer, or the like.

That is, the management server 120 is connected to the user terminal 110 and the like via a network. Further, the measuring device 100 is connected to the user terminal 110 by wired communication and/or wireless communication.

The management server 120 includes a user information storage unit 130, an office information storage unit 131, an analysis result storage unit 132, an analysis result screen storage unit 133, a service screen storage unit 134, an activity data analysis unit 140, and an analysis It includes a result screen generation section 150, an analysis result screen provision section 160, a service screen generation section 170, a service screen provision section 180, an alert generation section 181, and an alert provision section 182.

The user information storage unit 130 stores user information 200 (described later in FIG. 2). The office information storage unit 131 stores office information 300 (described later in FIG. 3). The analysis result storage unit 132 stores an analysis result 310 (described later in FIG. 3). Note that the office information storage section 131 may be the same database as the analysis result storage section 132.

The analysis result screen storage unit 133 stores an analysis result screen 1100 (described later in FIG. 11). The service screen storage unit 134 stores a service screen 1400 (described later in FIG. 12). The big data storage unit 135 is configured to be able to extract average numerical information 900, which will be described later. The big data storage unit 135 is not particularly limited as long as it is a storage device that can extract the average numerical information 900, and may include 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 may be used, such as storage. 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 user information 200 including activity data 210 from the user terminal 110 connected to the measuring device 100 having the communication unit 102 and the sensor unit 103, and stores it. Although not an essential aspect, the user terminal 110 may further include the display section 101 and/or the imaging section 104. Hereinafter, the user terminal 110 will be described as having a display section 101, a communication section 102, a sensor section 103, and an imaging section 104.

The activity data analysis unit 140 also analyzes the activity data 210 based on the user information 200 and 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. An evaluation 410 is calculated for each result item 400 corresponding to each item.

Furthermore, the activity data analysis unit 140 generates an analysis result 310 based on the calculated evaluation 410. Note that details of the average numerical value 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 in 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 office terminal 190.

The service screen generation unit 170 generates a screen based on the analysis result 310 when there is a result item 400 whose evaluation 410 is less than a predetermined value and there is a service generation item 500 whose level 510 is equal to or higher than a first value. A service screen 1400 is generated. Note that 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 office terminal 190 when the service screen generating unit 170 generates the service screen 1400.

The alert generation unit 181 generates an alert 1700 based on the generated analysis result 310 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. generate. Note that the second numerical value is, for example, "5".

The alert providing unit 182 provides the generated alert 1700 to the office terminal 190 and the user terminal 110 when the alert generating unit 181 generates the alert 1700.

<User information storage section>
FIG. 2 is a diagram showing an overview of user information and activity data stored in the user information storage unit of the management server in the first embodiment. FIG. 2A is a diagram illustrating an overview 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.

As shown in FIG. 2A, the user information 200 includes data items such as a user ID, name, contact information, measurement device ID, and activity data 210.

The user ID indicates a code used by the management server 120 to identify the user. The name indicates the user's name. Contact information indicates the user's contact information. The activity data 210 indicates the content of data that the user terminal 110 acquires by receiving from the measuring device 100 (details will be described later).

FIG. 2(b) is a diagram illustrating an overview of a configuration example of activity data 210 included in user information 200 stored in user information storage unit 130 of management server 120 in the first embodiment. The activity data 210 shows information such as acquisition date, basic data, blood pressure, heart rate, blood sugar level, number of steps, and meal images.

“Acquisition date” indicates the date on which the management server 120 received input of the activity data 210 from the user.

"Basic data" indicates information such as the user's age, height, and weight that the user terminal 110 receives from the user. By acquiring the basic data, the management server 120 can use it as a reference when extracting average numerical information 900 from the big data storage unit 135 in activity data analysis processing to be described later.

In addition, by acquiring basic data and performing activity data analysis processing, the management server 120 can calculate evaluations 410 such as "body fat percentage" included in result items 400 of analysis results 310, "risk of morbidity", " A level 510 of "disease progression" can be calculated.

“Blood pressure” indicates information such as the user's systolic blood pressure and diastolic blood pressure that the user terminal 110 receives from the measuring device 100. By acquiring blood pressure and performing activity data analysis processing to be described later, the management server 120 calculates evaluations 410 such as "stress level" included in result items 400 of analysis results 310, and calculates "morbidity risk" and "risk of morbidity". A level 510 of "disease progression" can be calculated.

“Heart rate” indicates information on the user's heart rate that the user terminal 110 receives from the measuring device 100. By acquiring the heart rate and performing the activity data analysis process described below, the management server 120 calculates the evaluation 410 such as "stress level" included in the result item 400 of the analysis result 310, and the "risk of morbidity". A level 510 of "disease progression" can be calculated.

“Number of steps” indicates information on the number of steps of the user that the user terminal 110 receives from the measuring device 100. By acquiring the number of steps and performing activity data analysis processing to be described later, the management server 120 calculates the evaluation 410 such as "degree of calorie consumption" included in the result item 400 of the analysis result 310, and the "risk of morbidity". A level 510 of "disease progression" can be calculated.

“Meal image” indicates image information of a meal that the user terminal 110 receives from the measuring device 100. By acquiring meal images and performing activity data analysis processing to be described later, the management server 120 calculates evaluations 410 such as "degree of calorie consumption" included in result items 400 of analysis results 310, and calculates "risk of morbidity". , the level 510 of "disease progression" can be calculated.

Note that the meal image represents the content of the meal taken by the user, which is photographed by the imaging unit 104 included in the measuring device 100 or the user terminal 110. The management server 120 determines the type, volume, etc. of foodstuffs shown in the meal image using image analysis processing, which is a well-known means, and calculates the calories, sugar content, fat amount, etc. that the user has ingested.

<Business information storage department>
FIG. 3 is a diagram illustrating an overview of office information and analysis results stored in the office information storage unit of the management server in the first embodiment. FIG. 3A is a diagram illustrating an overview of a configuration example of the business office information 300 stored in the business office information storage unit 131 of the management server 120 in the first embodiment.

As shown in FIG. 3A, the office information 300 is composed of data items such as an office ID, an office name, a contact information, an affiliated user ID, and an analysis result 310.

The office ID indicates a code used by the management server 120 to identify the office. Establishment name indicates the name of the establishment. The affiliated user ID indicates the user ID of a user who belongs to the business office, for example, by registering as a member. 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 illustrating an outline of a configuration example of the analysis result 310 included in the business office information 300 stored in the business office information storage unit 131 of the management server 120 in the first embodiment. The analysis result 310 is composed of result items 400 and service generation items 500.

The result items 400 include generation date, body fat percentage, stress level, calorie consumption level, and the like. Furthermore, each item of the result items 400 has a calculated evaluation 410 numerical value. The evaluation 410 is expressed, for example, as a numerical value from 0 to 100, with "100" being the best. That is, the evaluation 410 indicates that the larger the value, the better the user's health condition.

The service generation item 500 includes morbidity risk and disease progression level. Furthermore, each item of the service generation items 500 has a calculated level 510 value. The level 510 is indicated by a numerical value from 1 to 5, for example, with "1" being the highest. That is, the lower the level 510, 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, if the evaluation 410 for "body fat percentage, stress level, calorie consumption level" of the result item 400 is "80, 80, 80", the level 510 of "morbidity risk, disease progression degree" of the service generation item 500 is indicated as "1, 1".

Furthermore, the level 510 serves as a reference when the acquired data analysis unit 140 determines whether or not to provide the service screen 1400 in the processing described later. Furthermore, the level 510 serves as a reference when the content of the proposed service menu is determined.

The suggestion service menu shows the contents of suggestion services for recommending improvement of the user's health problems. The proposed service menu is displayed on a service screen 1400 (details will be described later) provided to the office terminal 190 and the user terminal 110.

Further, the proposed service menu is determined according to the type of the service generation item 500 and the numerical value of the level 510 of the service generation item 500.

For example, if the numerical value of the level 510 of "disease progression" among the service generation items 500 is "3", the proposed service menu is determined to have the content "visiting nursing" or "monitoring service". Alternatively, if the numerical value of the level 510 of "morbidity risk" among the service generation items 500 is "2", the proposed service menu is determined to have the content "online medical interview" or "medication delivery".

In addition to the above, the proposed service menu includes AI interview, rehabilitation, acupuncture, meal delivery, massage, AI meal management, recipe provision, house calls, alert sending, emergency medical treatment, etc. How these are determined in correlation with the magnitude of the level 510 can be arbitrarily set based on well-known medical knowledge, general-purpose information, and the like.

Note that among the proposed service menus, "alert transmission" is provided by the process described later only when the numerical value of level 510 is the second numerical value (for example, "5").

Further, the "watching service" may be a service that is always provided regardless of the type of service generation item 500 and the numerical value of the level 510 of the service generation item 500.

“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 activity data analysis processing to be described later. Specifically, it is indicated by the numerical value of evaluation 410.

The "stress level" indicates an evaluation of the user's stress calculated by performing activity data analysis processing to be described later. Specifically, it is indicated by the numerical value of evaluation 410.

“Calorie consumption degree” indicates an evaluation of the user's calorie consumption calculated by performing activity data analysis processing to be described later. Specifically, it is indicated by the numerical value of evaluation 410.

“Risk of disease” 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 value at level 510.

The disease risk is automatically determined by artificial intelligence (AI) based on the type of result item 400, the numerical value of its evaluation 410, a combination with the user's basic data, and the history from past activity data 210.

For example, if the evaluation 410 of "body fat percentage, stress level" of the calculated result item 400 is "30, 20", it is determined that the user may have contracted a new disease, etc., and the risk of contracting the disease is The level 510 is determined to be "2" or the like.

“Disease progression level” indicates the level of disease progression that the user has. Specifically, the degree of disease progression is indicated by a numerical value at level 510.

The degree of disease progression is automatically determined by artificial intelligence (AI) based on the type of result item 400, the numerical value of its evaluation 410, the combination with the user's basic data, the history from past activity data 210, etc. .

For example, the evaluation 410 of the calculated result item 400 "body fat percentage as of January 25, 2020" changes from "80" to the evaluation 410 of "body fat percentage as of February 25, 2020" as "50". If the disease has decreased, 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.

<Overall processing>
FIG. 4 is a flowchart showing an overview of the overall processing in the first embodiment.

First, in S401, the management server 120 performs user information acquisition processing and user information storage processing (described later with reference to FIG. 5).

Next, in S402, the management server 120 performs office information acquisition processing and office information storage processing (described later with reference to FIG. 6).

Next, in S403, the management server 120 performs activity data analysis processing (described later with reference to FIGS. 9 and 10).

Next, in S404, the management server 120 performs analysis result screen generation processing and analysis result screen storage processing (described later with reference to FIGS. 11 and 12).

Next, in S405, the management server 120 performs analysis result screen providing processing (described later with reference to FIG. 13).

Next, if the user determines to generate a service screen, in S406, the management server 120 performs service screen generation processing and service screen storage processing (described later with reference to FIGS. 14 and 15).

Next, in S407, the management server 120 performs a service screen providing process (described later with reference to FIG. 16).

Next, if the user determines to generate an alert, in S408, the management server 120 performs alert generation processing and alert provision processing (described later with reference to FIGS. 17 to 19).

<User information storage processing>
FIG. 5 is a flowchart showing an overview of user information acquisition processing and user information storage processing in the first embodiment. FIG. 5(a) is a flowchart showing an overview of user information storage processing in the first embodiment. The method by which the management server 120 stores the user information 200 will be described below.

First, in S501, the management server 120 provides the user terminal 110 with a user information input screen. Next, in S502, the user terminal 110 displays a user information input screen on the display.

Thereafter, when the user uses the system according to the present invention for the first time, the user terminal 110 receives input of user information 200 from the user in S503. Next, in S504, the user terminal 110 transmits the user information 200 whose input was accepted in S503 to the management server 120.

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 whose input was accepted in S503 in the user information storage unit 130.

<User information acquisition process>
FIG. 5(b) is a flowchart showing an overview of user information acquisition processing in the first embodiment. The method by which the management server 120 acquires the user information 200 will be described below.

When the user uses the system according to the present invention for the second time or later, the user terminal 110 receives the input of the user ID from the user in S507. Note that the user ID is included in the user information 200.

Next, in S508, the user terminal 110 transmits the user ID whose input was accepted in S507 to the management server 120.

Thereafter, in S509, the management server 120 acquires the user information 200 corresponding to the user ID key transmitted in S508 from the user information storage unit 130.

<Business office information storage processing>
FIG. 6 is a diagram showing an overview of the office information acquisition process and the office information storage process in the first embodiment. FIG. 6(a) is a diagram showing an overview of business office information storage processing in the first embodiment. The method by which the management server 120 stores the office information 300 will be described below.

First, in S601, the management server 120 provides the business office terminal 190 with a business office information input screen. Next, in S602, the business office terminal 190 displays a business office information input screen on the display.

Thereafter, when the business office uses the system according to the present invention for the first time, the business office terminal 190 receives input of business office information 300 from the business office in S603. Next, in S604, the office terminal 190 transmits the office information 300 whose input was accepted in S603 to the management server 120.

Next, in S605, the management server 120 acquires the office information 300 by receiving the office information 300 transmitted in S604. Next, in S606, the management server 120 attaches a business office ID to the received business office information 300, and stores the business office information 300 whose input was accepted in S603 in the business office information storage unit 131.

<Business office information acquisition process>
FIG. 6(b) is a flowchart showing an overview of the office information acquisition process in the first embodiment. The method by which the management server 120 acquires the office information 300 will be described below.

When the business uses the system according to the present invention for the second time or later, the business terminal 190 receives an input of the business ID from the business in S607. Note that the business office ID is included in the business office information 300.

Next, in S608, the office terminal 190 transmits the office ID whose input was accepted in S607 to the management server 120.

Thereafter, in S609, the management server 120 acquires the office information 300 corresponding to the office ID key transmitted in S608 from the office information storage unit 131.

<Measuring device>
FIG. 7 is a diagram showing an overview of the measuring device 100 in the first embodiment.

As shown in FIG. 7A, the measuring device 100 includes a display section 101, a communication section 102, a sensor section 103, and an imaging section 104.

The communication unit 102 is linked to the user terminal 110 and transmits data, as shown in FIG. 7(b). The link connection is performed, for example, by a wireless communication connection using short-range waves such as Bluetooth (registered trademark).

The sensor unit 330 acquires information such as the body temperature, heart rate, acceleration, and number of steps of the user wearing the measuring device 100 as the activity data 210.

Note that 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 does not need to be charged or replaced for about five years. Furthermore, the measuring device 100 may include a solar panel section in addition to being driven by a battery to extend its life.

Furthermore, the measuring device 100 can be configured to have two communication sections 102. That is, the measuring device 100 can also be wirelessly connected to the management server 120 via a network. Thereby, even when the user terminal 100 is destroyed, the user can obtain the effects of the present invention by using the measuring device 100. Note that this communication unit 102 can also be connected to an external user interface and can be expanded with various sensors and the like.

Due to the above characteristics, even if charging is not possible during a natural disaster or radio waves are not available, the user can use the measuring device 100 with low power consumption to establish a wireless communication connection with the management server 120 via the network without using radio waves. I can do it.

The imaging unit 104 is a camera that photographs a subject during a meal, for example, with the measuring device 100 attached. The meal image photographed by the imaging unit 104 is included in the activity data 210 as image data such as jpg, and is temporarily stored.

<Data acquisition process>
FIG. 8 is a flowchart showing an overview of data acquisition processing from the measuring device 100 in the first embodiment.

First, in S801, the measuring device 100 determines whether the link state is On. If the link state is On, the measuring device 100 completes the entire process.

If the link state is Off, the measuring device 100 proceeds to step S802.

In S802, the measuring device 100 establishes a link connection with the user terminal 110. Specifically, the measuring device 100 establishes a link connection with the user terminal 110 via the communication unit 102 that the measuring device 100 has.

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". Thereafter, in S805, the measuring device 100 transmits the link state updated in S805 to the user terminal 110.

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.

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.

Next, in S808, the user terminal 110 transmits the user information 200 acquired in S807 to the management server 120.

Next, in S809, the management server 120 acquires the user information 200 transmitted in S808. Thereafter, in S810, the management server 120 updates and stores the user information 200 acquired in S809 into the user information 200 stored in the user information storage unit 130.

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.

Note that when the user disconnects the link between the user terminal 110 and the measuring device 100 in any step of the entire process of this embodiment, the measuring device 100 updates the link status to "Off" and updates the updated link. The status is sent to the user terminal 110.

<Relationship with analysis results of average numerical information>
FIG. 9 is a diagram showing an overview of the relationship between the average numerical value information 900 and the analysis results 310 and the like in the first embodiment.

As shown in FIG. 9, the average numerical information 900 is extracted from the big data storage unit 135 using extraction criteria such as "gender, age, height" included in the user's basic data for each item of the activity data 210. shows the average value. Regarding the average numerical information 900, the values extracted from the big data storage unit 135 using the extraction criteria are not particularly limited, and include, for example, the average value, the median value, the mode value, the first quartile, and the third quartile. It may be a statistical value or the like regarding data extracted from the big data storage unit 135 using an extraction criterion, such as quartiles or the like. Hereinafter, the value included in the average numerical information 900 extracted from the big data storage unit 135 using the extraction criteria will also be referred to as an average value or the like.

For example, when the user's basic data is "male, 55 years old, 160 cm", the average numerical information 900 is retrieved from the big data storage unit 135, such as blood pressure, heart rate, etc., that satisfy the same conditions as "male, 55 years old, 160 cm". It is obtained by extracting the average value etc. for each item.

Further, as shown in FIG. 9, the analysis result 310 is obtained by comparing the user's activity data 210 and the average value 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 is determined depending on whether the user's activity data 210 has a superior numerical value compared to the average value included in the average numerical information 900. , it is determined whether the value is high or not.

For example, if the activity data 210 of the user's "step count" is "7000 steps" and the average numerical value information 900 is "5000 steps", the evaluation 410 of the user's "step count" is shown as "60". Note that the evaluation 410 can be, for example, a numerical value from 0 to 100, but is not particularly limited. Furthermore, the formula for calculating the evaluation 410 is not particularly limited.

Further, as shown in FIG. 9, an analysis result screen 1100 is generated based on the analysis result 310. The service screen 1400 is generated based on the result item 400 whose evaluation 410 is a predetermined value, for example less than 50, or the service generation item 500 whose level 510 is a predetermined value, for example 2 or more.

In this way, the management server 120 extracts the average numerical information 900, which is the average value under the same conditions as the basic data possessed by the user, from the big data storage unit 135 and compares it with the activity data 210 derived from the user's behavior. can analyze how well a user's health condition compares to the average.

Furthermore, by generating the service screen 1400 for items for which the evaluation 410 is a predetermined value, for example, less than 50, the management server 120 can improve the user's health without requiring the time and effort associated with conducting a health checkup or the like. Able to understand problems and propose optimal problem-solving methods.

<Activity data analysis processing>
FIG. 10 is a flowchart showing an overview of activity data analysis processing in the first embodiment.

First, in S1001, the activity data analysis unit 140 of the management server 120 extracts user information 200 from the user information storage unit 130.

Next, in S1002, the activity data analysis unit 140 extracts activity data 210 corresponding to the user ID included in the user information 200 extracted in S1001.

Next, in S1003, the activity data analysis unit 140 extracts average numerical information 900 for each item of the activity data 210 extracted in S1002 from the big data storage unit 135.

Next, in S1004, the activity data analysis unit 140 calculates the 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 extracted in S1002 with the numerical value of the average numerical information 900 extracted in S1003 for each item of the activity data 210 extracted in S1002. An evaluation 410 is calculated.

The activity data analysis unit 140 determines the numerical value of the evaluation 410 for each item of the activity data 210, depending on whether the numerical value of the activity data 210 is superior to the numerical value of the average numerical information 900. Determine.

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 for each item of the activity data 210 by linking the calculated numerical value of the evaluation 410, the user ID, the date of generation, and the like.

Next, in S1006, the activity data analysis unit 140 stores the analysis result 310 generated in S1005 in the analysis result storage unit 132.

Next, in S1007, the activity data analysis unit 140 requests the analysis result screen generation unit 150 to generate an analysis result screen 1100.

Next, in S1008, the activity data analysis unit 140 determines that among the items included in the analysis result 310 generated in S1005, there is a result item 410 whose evaluation 410 is a predetermined value, for example, less than 50, 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 a first numerical value (for example, "2") among the service generation items 500 included in 310 . Note that the predetermined value is not particularly limited.

If there is no result item 410 whose evaluation 410 is a predetermined value, for example less than 50, among the items included in the analysis result 310 generated in S1005, or if the result item 410 is level 510 among the service generation items 500 included in the analysis result 310 If there is no service generation item 500 for which is greater than or equal to the first numerical value (for example, "2"), the activity data analysis unit 140 ends this step.

Among the items included in the analysis result 310 generated in S1005, there is a result item 410 for 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 If there is a service generation item 500 that is greater than or equal to the first numerical value (for example, “2”), the activity data analysis unit 140 requests the service screen generation unit 170 to generate a service screen 1400 in S1009.

Next, in S1010, the activity data analysis unit 140 determines that among the items included in the analysis result 310 generated in S1005, there is a service generation item 510 whose level 510 is the second numerical value (for example, "5"). Determine whether or not to do so.

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.

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, in S1011, the activity data analysis unit 140: The alert generation unit 181 is requested to generate the alert 1700.

In this way, the average numerical information 900, which is the average value under the same conditions as the user's basic data such as age and height, is extracted from the big data storage unit 135 and compared with the activity data 210 derived from the user's actions. , the management server 120 can analyze how good the user's daily health condition is.

<Analysis result screen>
FIG. 11 is a diagram showing the concept of the analysis result screen 1100 in the first embodiment.

As shown in FIG. 11A, 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. Note that there are no particular limitations on how the score display area 1110 displays the numerical value of the evaluation 410 and the like.

The first chart display area 1120 displays the numerical values of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210 in the form of a chart such as a line graph or a histogram. Note that there are no particular limitations on how the first chart display area 1120 displays the chart such as the numerical value of the evaluation 410.

Further, as shown in FIG. 11(b), 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 second chart display area 1130 displays the numerical value of the evaluation 410 among the analysis results 310 calculated for each item of the activity data 210 in a different format from the chart displayed in the first chart display area 1120, such as a radar chart. It is displayed using a chart such as Note that there are no particular limitations on how the second chart display area 1130 displays the chart such as the numerical value of the evaluation 410.

In this way, the management server 120 can make the user understand the health condition of the user without requiring the time and labor costs associated with the user's hospital visits and health checkups. Furthermore, since the analysis result screen 1100 has a plurality of different chart display areas, the user can understand the health condition from more angles.

<Analysis result screen generation processing and analysis result screen storage processing>
FIG. 12 is a flowchart showing an overview of analysis result screen generation processing and analysis result screen storage processing in the first embodiment.

First, in S1201, the analysis result screen generation unit 150 of the management server 120 receives the request to generate the analysis result screen 1100 requested in S1007, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.

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.

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.

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.

<Analysis result screen provision processing>
FIG. 13 is a flowchart showing an overview of a configuration example of analysis result screen providing processing in the first embodiment.

First, in S1301, the analysis result screen providing unit 160 of the management server 120 accepts the request to provide the analysis result screen 1100 requested in S1204.

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.

Next, in S1303, the analysis result screen providing unit 160 extracts the office information 300 corresponding to the office ID for which the analysis result screen 1100 is to be provided from the office information storage unit 131.

Next, in S1304, the analysis result screen providing unit 160 provides the analysis result screen 1100 extracted in S1302 to the office terminal 190.

Next, in S1305, the office terminal 190 displays the analysis result screen 1100 provided from the management server 120 in S1304 on the terminal display.

Next, in S1306, the analysis result screen providing unit 160 extracts the user information 200 corresponding to the affiliated user ID included in the office information 300 extracted in S1303 from the user information storage unit 130.

Next, in S1307, the analysis result screen providing unit 160 provides the user terminal 110 with the analysis result screen 1100 extracted in S1302.

Next, in S1308, the user terminal 110 causes the analysis result screen 1100 provided by the management server 120 in S1307 to be displayed on the terminal display.

In this way, the management server 120 can make the user understand the health condition of the user without requiring the time and labor costs associated with the user's hospital visits and health checkups. Furthermore, by providing the analysis result screen 900 to the office terminal 190, the management server 120 can exchange information with medical institutions around the world at any time and promptly perform remote medical treatment.

<Service screen>
FIG. 14 is a diagram showing the concept of a service screen 1400 in the first embodiment.

As shown in FIG. 14(a), the service screen 1400 includes a comment display area 1410 and a suggested service menu display area 1420.

The comment display area 1410 displays a comment for informing about which of the result items 400 included in the analysis result 310 are items whose evaluation 410 is a predetermined value, for example, less than 50. In addition, the comment display area 1410 displays the service generation items 500 whose level 510 is equal to or higher than the first value (for example, "2") among the service generation items 500 included in the analysis result 310. Display the corresponding comment. Note that there are no particular limitations on how comments are displayed in the comment display area 1410.

For example, when the evaluation 410 of the "stress level" included in the analysis result 310 is "47", the comment display area 1410 displays a comment such as "stress level score is low". Further, when the level 510 of the "risk of morbidity" included in the analysis result 310 is "2", a comment such as "There is a possibility of disease 〇〇, 〇〇" is displayed.

In addition, the name of the disease of 〇〇 related to the above comment depends on the type of result item 400 of the analysis result 310, the numerical value of its evaluation 410, the combination with the user's basic data, the history from past activity data 210, etc. Automatically determined by artificial intelligence (AI). For example, if the evaluation 410 of "body fat percentage, stress level" among the result items 400 is "30, 20", the disease name of 〇〇 related to the above comment is determined to be "diabetes" or "stroke".

In this way, as the number of days passes, the amount of accumulated user activity data 210 increases as user information 200 is acquired, and the accuracy of judgments made by artificial intelligence (AI) improves. Through acquisition and analysis of activity data 210, subsequent provision of service screen 1400, etc., a PDCA cycle for user health management can be efficiently realized.

The proposed service menu display area 1420 displays items for 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 also for items among the service generation items 500 included in the analysis result 310. A proposed service menu for recommending problem improvement for service generation items 500 whose level 510 is a first numerical value (for example, "2") or higher is displayed. Note that there are no particular limitations on how the proposed service menu display area 1420 is displayed.

Further, as shown in FIG. 14(b), the content of the proposed service menu is determined according to the numerical value of the level 510. For example, when the numerical value of the level 510 of "morbidity risk" among the service generation items 500 is "2", the proposed service menu is determined to be "online medical interview" or "medication delivery".

Alternatively, for example, if the numerical value of the level 510 of the "disease progression" in the service generation items 500 is "3", the proposed service menu is determined to have the content "visiting nursing" or "monitoring service".

Furthermore, since the larger the value of the level 510, the higher the severity of the user's health problem, the proposed service menu is configured such that as the value of the level 510 of the service generation item 500 included in the analysis result 310 increases, Consists of highly sophisticated and urgent health services. Note that the contents of the proposed service menu are not particularly limited.

In this way, the management server 120 reduces the time and labor costs associated with hospital visits and health checkups for the user by providing a health service menu that reflects the results of the activity data 210 at the same time as acquiring the activity data 210 from the user. It becomes possible to propose health services that reduce the amount of stress and allow users to easily manage their daily health.

In addition, business establishments can easily grasp the morbidity risk and degree of disease progression generated as a result of the analysis, and can quickly provide users with optimal solutions to health problems.

Furthermore, the user can easily understand the morbidity risk and disease progression rate generated as a result of the analysis, and can quickly understand the optimal solution to the health problem.

<Service screen generation processing and service screen storage processing>
FIG. 15 is a flowchart showing an overview of service screen generation processing and service screen storage processing in the first embodiment.

First, in S1501, the service screen generation unit 170 of the management server 120 receives the request to generate the service screen 1400 requested in S1009, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.

Next, in S1502, the service screen generation unit 170 generates a service screen 1400 based on the analysis result 310 extracted in S1501.

Next, in S1503, the service screen generation unit 170 stores the service screen 1400 generated in S1502 in the service screen storage unit 134.

Next, in S1504, the service screen generation unit 170 requests the service screen providing unit 180 to provide the service screen 1400.

<Service screen provision processing>
FIG. 16 is a flowchart showing an overview of a configuration example of service screen providing processing in the first embodiment.

First, in S1601, the service screen providing unit 180 of the management server 120 accepts the request to provide the service screen 1400 requested in S1504.

Next, in S1602, the service screen providing unit 180 extracts the service screen 1400 stored in S1503 from the service screen storage unit 134.

Next, in S1603, the service screen providing unit 180 extracts office information 300 corresponding to the office ID for which the service screen 1400 is to be provided from the office information storage unit 131.

Next, in S1604, the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the office terminal 190.

Next, in S1605, the office terminal 190 causes the service screen 1400 provided by the management server 120 in S1604 to be displayed on the terminal display.

Next, in S1606, the service screen providing unit 180 extracts the user information 200 corresponding to the affiliated user ID included in the office information 300 extracted in S1603 from the user information storage unit 130.

Next, in S1607, the service screen providing unit 180 provides the service screen 1400 extracted in S1602 to the user terminal 110.

Next, in S1608, the user terminal 110 causes the service screen 1400 provided by the management server 120 in S1607 to be displayed on the terminal display.

In this way, the management server 120 reduces the time and labor costs associated with hospital visits and health checkups for the user by providing a health service menu that reflects the results of the activity data 210 at the same time as acquiring the activity data 210 from the user. It becomes possible to propose health services that reduce the amount of stress and allow users to easily manage their daily health.

Furthermore, by providing the service screen 1400 to the office terminal 190, the management server 120 can exchange information with medical institutions around the world at any time and promptly perform remote medical treatment. Furthermore, businesses can easily understand the risk of disease and disease progression generated as a result of the analysis, and can quickly provide users with optimal solutions to health problems.

In addition, as the number of days passes, the amount of accumulated user activity data 210 increases as user information 200 is acquired, and the accuracy of judgments made by artificial intelligence (AI) improves. 210, analysis, and subsequent provision of the service screen 1400, it is possible to efficiently realize the PDCA cycle for user health management.

Furthermore, the user can easily understand the morbidity risk and disease progression rate generated as a result of the analysis, and can quickly understand the optimal solution to the health problem.

<Alert>
FIG. 17 is a diagram showing an overview of the alert 1700 in the first embodiment.

As shown in FIG. 17(a), alert 1700 includes an alert display area 1710.

The alert display area 1710 displays comments corresponding to the type of the service generation item 500 for the service generation item 500 whose level 510 is a second numerical value (for example, "5"). Note that there are no particular limitations on how the alert display area 1710 is displayed.

For example, in the alert display area 1710, if the service generation item 500 whose level 510 is a second numerical value (for example, "5") is "Risk of Morbidity", the comment is "There is a risk of contracting disease 〇〇." ” etc. will be displayed.

In addition, the name of the disease of 〇〇 related to the above comment depends on the type of result item 400 of the analysis result 310, the numerical value of its evaluation 410, the combination with the user's basic data, the history from past activity data 210, etc. Automatically determined by artificial intelligence (AI). For example, if the evaluation 410 of "body fat percentage, stress level" among the result items 400 is "30, 20", the disease name of 〇〇 related to the above comment is determined to be "diabetes" or "stroke."

As shown in FIG. 17(b), an alert 1700 is provided from the management server 120 to the user terminal 110. Furthermore, when the user terminal 110 and the measuring device 100 are linked, 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 an alert 1700.

In this way, the management server 120 analyzes the user's activity data 210 obtained from the measuring device 100 and provides the user with an alert 1700 when the risk of disease or disease progression is extremely high, thereby reducing the user's hospital visits. It is possible to encourage users with highly serious and urgent health concerns to receive health services while reducing the time and labor costs associated with health checkups.

<Alert generation process>
FIG. 18 is a flowchart showing an overview of alert generation processing in the first embodiment.

First, in S1801, the alert generation unit 181 of the management server 120 receives the request to generate the alert 1700 requested in S1011, and extracts the analysis result 310 required for generation from the analysis result storage unit 132.

Next, in S1802, the alert generation unit 181 generates an alert 1700 based on the analysis result 310 extracted in S1801.

Next, in S1803, the alert generating unit 181 requests the alert providing unit 182 to provide the alert 1700 generated in S1802.

<Alert provision processing>
FIG. 19 is a flowchart showing an overview of alert provision processing in the first embodiment.

First, in S1901, the alert providing unit 182 of the management server 120 accepts the request to provide the alert 1700 requested in S1803.

Next, in S1902, the alert providing unit 182 extracts office information 300 corresponding to the office ID for which the alert 1700 is to be provided from the office information storage unit 131.

Next, in S1903, the alert providing unit 182 provides the office terminal 190 with the alert 1700 extracted in S1902.

Next, in S1904, the office terminal 190 displays the alert 1700 provided from the management server 120 in S1903 on the terminal display.

Next, in S1905, the alert providing unit 182 extracts the user information 200 corresponding to the affiliated user ID included in the office information 300 extracted in S1902 from the user information storage unit 130.

Next, in S1906, the alert providing unit 182 provides the user terminal 110 with the alert 1700 extracted in S1902.

Next, in S1907, the user terminal 110 causes the alert 1700 provided from the management server 120 in S1906 to be displayed on the terminal display.

Next, in S1908, the user terminal 110 determines whether the link state is "On". If the link state is "Off", the user terminal 110 ends this process. If the link state is "On", the user terminal 110 proceeds to step S1909.

In S1909, the user terminal 110 transmits the provided alert 1700 to the linked measuring device 100.

In S1910, the measuring device 100 changes the background color of the display unit 101 to a predetermined color and displays the alert 1700.

In this way, the measuring device 100 displays the alert 1700 by changing the background color of the display unit 101 to a predetermined color, thereby informing the user of the severity and urgency of the user's health. It can make a stronger impression. In addition, by providing alerts 1700 to the office terminal 190, the management server 120 can exchange information with medical institutions around the world at any time and promptly perform remote medical treatment.

<Example of use of first embodiment>
Next, a usage example of the health service providing system in this embodiment will be explained.

[Providing activity data]
A patient or the like measures 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 data acquisition processing, acquires activity data 210, and transmits it to the management server 120. The management server 120 stores the received activity data 210 and the like in the user information storage unit 130.

[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 an evaluation 410 and an analysis result 310. . The management server 120 performs analysis result screen providing processing and generates an analysis result screen 1100. If 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. Furthermore, if the analysis result 310 satisfies a predetermined condition, the management server 120 requests the alert generation unit 181 to generate an alert 1700.

[Generation of service screens, etc.]
When the service screen generation unit 170 is requested to generate the service screen 1400, the management server 120 performs service screen provision processing, and displays the analysis results 310, disease information related to the disease, and/or a proposed service menu corresponding to the disease information. A service screen 1400 containing the information is generated. When the alert generation unit 181 is requested to generate an alert 1700, the management server 120 generates the alert 1700 including a comment regarding disease information.

[Display of service screen, etc.]
In response to the provision of the analysis result screen 1100, service screen 1400, and/or alert 1700 by the management server 120, the user terminal 110 displays the provided analysis result screen 1100, service screen 1400, and/or alert 1700 on the user terminal. display it on the display.

<Effects of the first embodiment>
According to the first embodiment of the present invention described above, the management server 120 acquires the activity data 210 from the user and at the same time provides a health service menu that reflects the results of the activity data 210, thereby facilitating the user's hospital visits and It becomes possible to propose health services that reduce the time and labor costs associated with health checkups and allow users to easily manage their daily health.

In addition, as the number of days passes, the amount of accumulated user activity data 210 increases as user information 200 is acquired, and the accuracy of judgments made by artificial intelligence (AI) improves. 210, analysis, and subsequent provision of the service screen 1400, it is possible to efficiently realize the PDCA cycle for user health management.

In addition, the management server 120 provides an alert 1700 when the severity of disease risk and disease progression calculated through analysis of the user's activity data 210 is, for example, extremely high, and provides monitoring services and services regardless of the severity. By providing medicine delivery, etc., it is possible to reduce the time and labor costs associated with hospital visits and health checkups for users, while providing users with optimal health services according to the severity of their health concerns.

Through a series of processes executed in the management server 120, when a patient etc. uses the user terminal 110 to provide activity data, lifestyle habits are determined based on the patient's activity data 210 provided from the user terminal 110. It is possible to generate an analysis result 310 and generate a service screen 1400 that includes disease information including "risk of disease" and/or "progressive degree of disease" based on the generated analysis result 310 and a corresponding proposed service. Therefore, a service that reflects the activity data 210 can be proposed via the generated service screen 1400.

According to the management server 120, it is possible to propose services that reflect not only the activity data 210 but also the lifestyle habits analyzed based on the activity data 210. Furthermore, it is possible to propose services that also reflect disease information based on the analysis results 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.

When a human evaluates activity data, unless reference information is used as a basis for evaluation, the evaluation may include the subjectivity and arbitrary judgments of the person doing the evaluation. Therefore, when disease information is generated based on an evaluation performed by a human without using reference information, there may be room for improvement in the objectivity of the disease information due to subjectivity and arbitrary judgments included in the evaluation. Analysis results generated based on disease information that has room for improvement in objectivity may also have room for improvement in objectivity.

In the activity data analysis process, since the evaluation of the activity data 210 is generated based on standard information such as the average numerical value information 900, the influence of the subjectivity of the person making the evaluation, arbitrary judgment, etc. can be suppressed. Accordingly, an assessment 410 with improved objectivity may be generated. Since the disease information is generated based on the evaluation 410 generated in this way and the analysis result 310 is generated based on the generated disease information, it is possible to generate the analysis result 310 with improved objectivity.

If the patient's activity data 210 suggests that the patient may have a health condition, the patient, etc. may request medical services to examine the possibility of the patient's health condition and/or health condition problem. Additional beneficial services, such as medical services, may be required. If a patient, etc. may be suffering from some disease, the patient, etc. may receive useful services such as medical services that examine the possibility of suffering from the disease and/or medical services related to treatment of the disease. More may be needed. If both of these possibilities are suggested, the patient may be in even greater need of beneficial services.

In the activity data analysis process, for example, if a predetermined condition corresponding to the case where the patient etc. needs the service even more is met, such as the condition corresponding to the case where the evaluation 410 and the disease information indicate the above-mentioned possibility. 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 that is beneficial to the patient or the like when the patient or the like needs the service even more.

In the activity data analysis process, if 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 an alert 1700. If the user is likely to suffer from some disease, the user can obtain information regarding the disease through the user terminal 110. This makes it possible to provide a management device that can propose services that are even more beneficial to patients and the like.

Since the user terminal 110 and the management server 120 can be configured to be wirelessly connectable, the management server 120 can acquire the activity data 210 provided from the user terminal 110 without connecting the management server 120 and the user terminal 110 by wire. It is possible. Thereby, 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 that can propose useful services to patients and the like using the activity data 210 and the like that are more reliably acquired from patients and the like.

<<Second embodiment>>
A second embodiment of the present invention will be described below.

<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.

The management system 2001 includes at least a management device 2002, one or more measurement terminals 2003 that can provide activity data to the management device 2002, and a network N that communicably connects the management device 2002 and the measurement terminals 2003. be done.

Hereinafter, patients, nursing care facility users, etc. who provide activity data via the measurement terminal 2003 will be referred to as patients, etc., or simply as managed persons, and users of the management device 2002, exemplified by doctors, nurses, care managers, etc. Also referred to as a doctor, etc., or simply as a user.

[Management device 2002]
The management device 2002 is configured to include at least a control section 2021, a storage section 2022, and a communication section 2023.

[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.

The control unit 2021 reads a predetermined program and cooperates with the storage unit 2022 and/or the communication unit 2023 as necessary to receive the activity data receiving unit 2211 and the activity data, which are elements of the software configuration in the management device 2002. It implements an analysis section 2212, a service screen generation section 2213, a notification section 2214, an advice provision section 2215, a time series information transmission section 2216, and the like.

Although not an essential aspect, the activity data analysis unit 2212 includes an evaluation generation unit 2212A (not shown) that generates an evaluation regarding the activity data based on reference information regarding the activity data, and a disease information generating unit 2212A (not shown) that generates 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 analysis results 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 using FIG. 29.

[Storage unit 2022]
The storage unit 2022 is a device in which data and files are stored, and includes 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 to a storage device or storage system such as a NAS (Network Attached Storage), a SAN (Storage Area Network), a cloud storage, a file server, and/or a distributed file system via a network. May have.

The storage unit 2022 stores at least a control program executed by the microcomputer, a terminal information table 2221 that stores terminal information regarding the measurement terminal 2003, an activity data table 2222 that stores information regarding activity data, and the like.

(Terminal information table 2221)
FIG. 21 is a diagram showing an example of the terminal information table 2221. The terminal information table 2221 shown in FIG. 21 includes a "measurement terminal ID" that can identify the measurement terminal 2003, a "receiptability" regarding whether or not activity data can be received, a "reception status" regarding the activity data, and finally a "reception status" regarding the activity data. The "last reception date and time" related to the date and time of receiving are stored in association with each other.

Including the measurement terminal ID facilitates acquisition and storage of terminal information. By including reception availability, it can be determined whether activity data can be received from the measurement terminal 2003 identified by the terminal ID. By including the reception status, it is possible to identify whether 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, it is possible to grasp the elapsed time since the activity data was received.

In the terminal ID "C0001" in FIG. 21, for the measurement terminal 2003 identified by the measurement terminal ID "C0001," the activity data reception status is "receivable" and the activity data reception status is "received". Yes, and it is stored that the last reception date and time is April 1, 2020, 14:00. 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 activity data until a predetermined period of time has passed from 14:00 on April 1, 2020. obtain.

(Activity data table 2222)
FIG. 22 is a diagram showing an example of the activity data table 2222. The activity data table 2222 shown in FIG. 22 includes 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. , "date and time" when the activity data was provided, and "activity data" including "blood pressure", "pulse", and "amount of exercise" are stored in association with each other.

Including the activity data ID facilitates the acquisition and storage of activity data. By including the measurement terminal ID, it is possible to prevent activity data provided from one measurement terminal 2003 from being confused with activity data provided from another measurement terminal 2003. By including patients, etc., it is possible to prevent activity data provided by the managed person from being confused with activity data provided by other patients, etc. By including the date and time, changes in the activity data over time can be understood. By including activity data, lifestyle analysis results can be generated based on the activity data. Since the activity data includes blood pressure, lifestyle analysis results can be generated based on the blood pressure. By including the pulse rate in the activity data, it is possible to generate lifestyle analysis results based on the pulse rate. Since the activity data includes the amount of exercise, it is possible to generate lifestyle analysis results based on the amount of exercise.

The activity data ID “V0001” in FIG. 22 stores the activity data regarding the patient “Taro Yamada” as of 12:00 on April 1, 2020, provided from the measurement terminal 2003 identified by the measurement terminal ID “C0001”. has been done. The stored activity data shows that for Taro Yamada, a patient, etc., his systolic blood pressure (also referred to as systolic blood pressure) is 130, his diastolic blood pressure (also referred to as diastolic blood pressure) is 70, his pulse is 70, and his pulse rate is 70. , indicates that the amount of exercise is 1582 kcal. As a result, activity data including blood pressure, pulse rate, and amount of exercise of the patient "Taro Yamada" as of 12:00 on April 1, 2020 can be obtained.

In addition, the activity data ID "V0002" stores the activity data as of 13:00 on April 1, 2020 regarding the patient "Taro Yamada" provided from the measurement terminal 2003 identified by the measurement terminal ID "C0001". There is. That is, activity data related to the patient "Taro Yamada" at a different date and time from the activity data stored in the above-mentioned activity data ID "V0001" is stored. The stored activity data indicates that the systolic blood pressure of the patient Taro Yamada is 145, the diastolic blood pressure is 80, the pulse is 85, and the amount of exercise is 1614 kcal. These activity data have changed from the activity data at 12:00 on April 1, 2020. In this way, since it is possible to store activity data for the same managed person at different dates and times, it is possible to grasp changes in activity data over time.

Activity data includes biological data such as blood pressure, pulse rate, amount of exercise, blood sugar level, body temperature, number of steps taken by the patient, height, weight, body fat percentage, etc., and data related to the patient's diet such as calorie intake and meal times. The activity data is not particularly limited as long as it includes data related to the activities of the person to be managed, such as data related to the mental state of the patient, etc., and/or stress level, etc.

Preferably, the activity data includes the patient's blood pressure and pulse rate. Since the activity data includes the blood pressure and pulse rate of the patient, it is possible to generate lifestyle analysis results based on the blood pressure and pulse rate of the patient. Preferably, the activity data includes the amount of exercise of the patient, etc. Since the activity data includes the amount of exercise of the patient, etc., it is possible to generate lifestyle analysis results based on the amount of exercise of the patient, etc. Preferably, the activity data includes the number of steps walked by the patient or the like. Since the activity data includes the number of steps walked by the patient, it is possible to generate lifestyle analysis results based on the number of steps walked by the patient.

(Standard information table 2223)
Preferably, the storage unit 2022 further stores a reference information table 2223 that stores reference information regarding activity data. By storing the criteria information table 2223, evaluations for activity data can be generated based on the criteria information. Generating evaluations for activity data based on reference information will be described in more detail below. Hereinafter, 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. The standard information table 2223 shown in FIG. 23 includes a “standard information ID” that identifies standard information, an “item” that indicates which activity data the standard information corresponds to, and “standard information” for the activity data related to the item. , and "evaluation" based on reference information are stored in association with each other.

Including the reference information ID facilitates acquisition and storage of the reference information. By including items, even if the activity data includes multiple items, reference information regarding each item can be provided. Including baseline information may provide baseline information for activity data. Including the rating may generate a rating of the activity data based on the baseline information.

The standard information is not particularly limited as long as it includes information indicating a standard regarding the activity data, and may include standard information indicating a predetermined upper limit for the value indicated by the activity data. The activity data may include reference information indicating a lower limit of , or may include reference information indicating a specific upper limit and a specific lower limit for the value indicated by the activity data. By including reference information indicating an upper limit and/or lower limit for a value indicated by the activity data, an associated evaluation can be generated by comparing the value indicated by the activity data with the upper limit and/or lower limit indicated by the reference information.

The reference information may include statistical values regarding the activity data, such as an average value, a median value, a mode, a first quartile, a third quartile, etc. regarding the activity data. Since the reference information includes statistical values regarding the activity data, an associated evaluation can be generated by comparing the activity data and the statistical values.

For example, the standard information ID "R0001" in FIG. 23 includes information that associates the standard information "systolic 140 or more and/or diastolic 90 or more" with the evaluation "hypertension I" regarding the item "blood pressure" related to activity data. is stored. Based on this information, the item and A rating (in this example, Hypertension I) associated with the baseline information may 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 a disease information table 2224 that stores 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 the evaluation 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" that identifies disease information, "evaluation conditions" related to evaluation, and "disease information" including "disease risk" and/or "disease progression". are associated and stored.

Including the disease information ID facilitates the acquisition and storage of disease information. By including evaluation conditions regarding evaluation, when the evaluation satisfies the conditions, disease information based on the evaluation can be provided. By including disease information including disease risk and/or disease progression, assessment-based disease information can be generated.

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 an evaluation is stored in the evaluation condition and associated disease information is generated when the evaluation is generated. Also, for example, it is possible to store information in which a predetermined period, a specific number, and an evaluation are associated with each other in the evaluation condition, and to generate associated disease information when the number of times that an evaluation has been generated in a predetermined period is equal to or greater than a specific number. may be shown.

Disease information is not particularly limited as long as it includes at least one of disease risk and/or disease progression, and may include disease risk (such as disease information ID "D0004" in FIG. 24), disease information It may include the degree of progression (such as the disease information ID "D0001" in FIG. 24), or it may include both the disease risk and the degree of disease progression (such as the disease information ID "D0003" in FIG. 24).

For example, in the disease information ID "D0001" in FIG. 24, regarding the evaluation condition "hypertension I" related to activity data, "-" indicating that the related disease risk is not stored, and the disease progression level "hypertension I" are included. Information relating to and is stored. Based on this information, when an evaluation regarding activity data (in this example, ``hypertension I'') is generated, disease information associated with the evaluation condition (in this example, including disease progression level ``I hypertension'') is generated. disease information).

In addition, the disease information ID "D0003" in Figure 24 includes the evaluation of activity data "hypertension I three or more times a day", the disease risk "highly suspected hypertension", and the disease progression level "grade I hypertension". Information relating to the information is stored. Based on this information, the number of evaluations related to activity data (in this example, ``Hypertension I'') generated during a predetermined period (in this example, ``1 day'') is determined to be greater than or equal to a certain number (in this example, ``3 disease information associated with the evaluation (in this example, disease information including a disease risk of "strongly suspected hypertension" and a disease progression level of "grade I hypertension") can be generated.

(Analysis result table 2225)
Preferably, the storage unit 2022 further stores an analysis result table 2225 that is generated based on activity data and the like and stores analysis results associated with the date and time of generation. By storing the analysis result table 2225, changes in the analysis results over time can be grasped. Analysis result time-series information that allows grasping of changes in analysis results over time based on analysis results associated with date and time will be described in more detail later.

FIG. 25 is a diagram showing an example of the analysis result table 2225. The analysis result table 2225 shown in FIG. 25 includes "analysis result ID" that identifies the analysis result, "patient, etc." associated with the analysis result, "date and time" when the analysis result was generated, "blood pressure", Analysis results including "pulse", "amount of exercise", "evaluation", and "disease information" are stored in association with each other.

Including the analysis result ID facilitates acquisition and storage of the analysis result. By including patients, etc., analysis results associated with patients, etc. can be prevented from being confused with analysis results associated with other patients, etc. By including the date and time, it is possible to understand changes in the analysis results over time. By including the analysis results with disease information, it is possible to generate a screen that includes the disease information based on the analysis results and the corresponding proposed service.

The analysis results are not particularly limited as long as they are lifestyle analysis results that include activity data and disease information, and for example, various activity data stored in the activity data table 2222 and evaluations for each of these various activity data. , and/or disease information based on the assessment. By including the various types of activity data stored in the activity data table 2222, the analysis results can generate evaluations for these various types of activity data. Since the analysis results include evaluations for each of the various types of activity data, it is possible to generate analysis results based on the evaluations. Since the analysis result includes disease information based on the evaluation, a screen including a proposed service corresponding to the disease information can be generated.

The disease information is not particularly limited as long as it includes at least one of the disease risk and disease progression based on the analysis results. Since the disease information includes the disease risk based on the analysis results, services corresponding to the disease risk can be proposed. Since the disease information includes the degree of disease progression, services corresponding to the degree of disease progression can be proposed.

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 systolic blood pressure of the patient Taro Yamada is 130, the diastolic blood pressure is 70, the pulse is 70, the amount of exercise is 1582 kcal, and the evaluation and disease information are "-", i.e. , indicating that evaluation and disease information regarding activity data is not generated. By storing this analysis result, it is possible to generate a screen that includes the proposed service corresponding to the analysis result of Taro Yamada, who is a patient, etc., at 12:00 on April 1, 2020.

Further, 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 analysis results show that Taro Yamada, the patient, etc., 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, and is evaluated as "hypertension I" in terms of activity data. and disease information indicating "degree I hypertension." This analysis result has changed from the analysis result at 12:00 on April 1, 2020. In this way, analysis results for the same patient or the like at different dates and times can be stored, so changes in analysis results over time can be grasped.

(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 an advice table 2226 that stores advice given to the analysis result. By storing the advice table 2226, advice given to analysis results can be stored. The use of advice given to analysis results will be explained in more detail later.

FIG. 26 is a diagram showing an example of the advice table 2226. The advice table 2226 shown in FIG. 26 includes an "advice ID" that identifies the advice, information that can identify the "user" who gave the advice, a "date and time" when the advice was given, and information that is associated with the advice. "Analysis result ID" that can identify the analysis result obtained by the analysis and "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. Additionally, it is possible to provide correspondence information that is a correspondence between analysis results and 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 information that can identify a doctor such as a doctor, nurse, care manager, etc., for example. The analysis result ID is not particularly limited as long as the analysis result associated with the advice can be identified, and may be an analysis result ID corresponding to the analysis result ID stored in the analysis result table 2225 shown in FIG. 25, for example. . Advice is not particularly limited as long as it is advice related to the analysis results; for example, it may be any one or more of the following: written advice regarding the analysis results, advice using images regarding the analysis results, and audio advice regarding the analysis results. Advice including:

For example, the advice ID "S0001" in FIG. 26 stores information that associates 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 nurse assigned the analysis result "A0002" with the evaluation "Hypertension I" and disease information "Grade I hypertension" as shown in Figure 25, "This is temporary after exercise and there is no problem." You can obtain and utilize the advice of ``.''. In this way, by storing advice associated with the analysis result ID in the advice table 2226, advice that can be used to determine whether or not a proposal for a health management service is required can be given to the analysis result. , can be used.

[Communication Department 2023]
Return to FIG. 20. The communication unit 2023 includes a device that enables the management apparatus 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 Fidelity) compatible device compatible with IEEE 802.11, and the like. The communication means is not particularly limited, and may be, for example, wireless communication or wired communication. The wireless communication protocol or standard is not particularly limited, and includes, for example, Wireless Fidelity (WiFi) (registered trademark) such as IEEE 802.11 a/b/g/n/ax/ba/EHT, Bluetooth (registered trademark), and When at least one of distance wireless communication (NFC), radio frequency identifier (RFID), and mobile communication (e.g., Long Term Evolution (LTE), LTE-Advanced (LTE-A), 5th generation (5G)) is included There is. Examples of modules for wired communication include Universal Serial Bus (USB), High Definition Multimedia Interface (HDMI®), and Recommended Standard 232 (RS-232).

Although not an essential aspect, it is preferable that the communication unit 2023 includes a wireless device that enables wireless communication, and is capable of communicating with the measurement terminal 2003 by wireless communication. Thereby, the management device 2002 can acquire activity data provided from the measurement terminal 2003 without connecting the management device 2002 and the measurement terminal 2003 by wire. Thereby, 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 through wireless communication, it is possible to propose services that are useful to patients, etc. using activity data etc. more reliably acquired from patients, etc. A management device 2002 can be provided.

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 connected simultaneously 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, there are restrictions on the radio wave band available for wireless communication and/or communication used for wireless communication. Even if there are restrictions imposed by the device, it is possible to communicate with the measurement terminal 2003 by wireless communication. Examples of such wireless devices include wireless devices compatible with Wireless Fidelity (WiFi) (registered trademark) such as IEEE 802.11 a/b/g/n/ax/ba/EHT, and devices compatible with Bluetooth (registered trademark). wireless devices compatible with near field communication (NFC), and the like.

Although it is not an essential aspect, it is preferable that the communication unit 2023 is configured to be connectable via the network N to the management device side wireless device W configured separately from the management device 2002. By being configured to be connectable via the network N to the management device side wireless device W configured separately from the management device 2002, the management device side wireless device W can be placed at a location away from the management device 2002. Thereby, activity data provided from the measurement terminal 2003 located away from the management device 2002 can be received via the management device side wireless device W. The number of management device side wireless devices W is not particularly limited, and the communication unit 2023 may be configured to be connectable to one or more management device side wireless devices W.

[Management device side wireless device 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 similarly to 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), which is suitable for exchanging simple information over 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 can be reduced to several meters. When the distance is between a meter and several tens of meters, the management device side wireless device W and the measurement terminal 2003 can perform wireless communication using radio waves to exchange simple information. Wireless communication using a wireless device compatible with Bluetooth (registered trademark) has less directivity of electromagnetic waves used for wireless communication than infrared communication etc., so the direction of the measurement terminal 2003 with respect to the management device side wireless device W and/or measurement The adverse effect on wireless communication due to the direction of the management apparatus side wireless device W with respect to the terminal 2003 can be reduced. Therefore, activity data may be obtained in more situations. Communication using a wireless device compatible with Bluetooth (registered trademark) can be encrypted using a passkey, which can prevent activity data from being intercepted by a third party who is neither the managed person nor the user. . That is, the fear of the managed person regarding interception of activity data can be reduced, and activity data can be provided by more managed people. The number of management apparatus side wireless devices W included in the management system 2001 is not particularly limited, and may be configured to include one or more management apparatus side wireless devices W. Hereinafter, the management system 2001 will be described as including the management apparatus side wireless device W.

[Measurement terminal 2003]
The measurement terminal 2003 is a terminal that can provide the management device 2002 with activity data of patients and the like. The measurement terminal 2003 is not particularly limited as long as it is a terminal that can provide activity data of patients, etc. to the management device 2002. For example, the measurement terminal 2003 is attached to the wrist of the person to be managed, measures the activity data of the patients, etc., and is connected via Bluetooth (registered). Examples of wearable terminals include smart bands, smart watches, and the like, which are configured to be able to provide activity data measured using wireless communication to the measurement terminal 2003 by a wireless device compatible with the trademark (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 more measurement terminals 2003. The measurement terminal 2003 includes one or more conventional measuring devices capable of measuring the activity data of the person to be managed, such as a blood pressure monitor, a pulse meter, a pedometer, an exercise meter, a thermometer, and/or a blood glucose meter. It is preferable. Since the measurement terminal 2003 includes one or more conventional measuring instruments capable of measuring activity data of the person to be managed, activity data of the patient, etc. can be provided to the management device 2002.

[Display terminal 2004]
Although this is not an essential aspect, it is preferable that the management system 2001 includes a display terminal 2004 that can receive and display analysis results and the like from the management device 2002. By providing the display terminal 2004, it is possible to propose a service that displays analysis results regarding activity data. The display terminal 2004 is configured to include at least a control section 2041, a storage section 2042, and a communication section 2043. The display terminal 2004 is not particularly limited, and may be, for example, a mobile terminal that can be carried by a patient, such as a smartphone or a tablet terminal, or a part of the patient's body, such as a smart band, smart watch, etc. Examples include wearable terminals that can be attached to the device.

Although not an essential aspect, it is preferable that the display terminal 2004 includes a measurement unit 2044. By including the measurement unit 2044 in the display terminal 2004, the display terminal 2004 can acquire activity data of a patient, etc., and provide it to the management device 2002.

Although not an essential aspect, it is preferable that the display terminal 2004 includes a display section 2045. By including the display unit 2045 , the display terminal 2004 can receive a proposed service screen, analysis result time-series information, advice, etc. from the management device 2002 and display the received information on the display unit 2045 . Display of the proposed service screen and the like using the display unit 2045 will be described in more detail later.

Although not an essential aspect, when the display terminal 2004 includes the display section 2045, the display terminal 2004 preferably includes an input section (not shown). By including the input section, a managed person using the display terminal 2004 can send a proposed service screen, send analysis result time-series information, and/or send advice, etc. to the management device 2002 via the input section. Can be commanded. Further, the person to be managed using the display terminal 2004 can specify one or more of the plurality of pieces of advice through the input section. The manner in which a managed person or the like using the display terminal 2004 specifies one or more of the plurality of pieces of advice 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 controls the software configuration of the display terminal 2004 by reading a predetermined program and cooperating with the storage unit 2042, the communication unit 2043, the measurement unit 2044, the display unit 2045, and/or the input unit as necessary. The analysis result receiving section 2411, advice receiving section 2412, display control section 2413, etc., which are elements, are realized.

[Storage unit 2042]
The hardware configuration of the storage unit 2042 is similar to that of the storage unit 2022. The storage unit 2042 stores at least a control program executed by a microcomputer.

[Communication Department 2043]
The hardware configuration of the communication unit 2043 is the same as that of the communication unit 2023.

Although not an essential aspect, it is preferable that the communication unit 2043 includes a wireless device that enables wireless communication, and is capable of communicating with the management apparatus 2002 by wireless communication. Thereby, the display terminal 2004 can provide activity data to the management device 2002 without connecting the management device 2002 and the display terminal 2004 by wire. Thereby, activity data can be provided even in a situation where the management device 2002 and the measurement terminal 2003 cannot be connected by wire.

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 is compatible with Bluetooth (registered trademark). Preferably, the wireless device includes a wireless device. By including a wireless device compatible with Bluetooth (registered trademark), which is suitable for exchanging simple information over a short distance, it is possible to use the device when the distance between the management device side wireless device W and the measurement terminal 2003 is from several meters to several tens of meters. Furthermore, the management device side wireless device W and the measurement terminal 2003 can perform wireless communication using radio waves to exchange simple information. Wireless communication using a wireless device compatible with Bluetooth (registered trademark) has less directivity of electromagnetic waves used for wireless communication than infrared communication etc., so the direction of the measurement terminal 2003 with respect to the management device side wireless device W and/or measurement The adverse effect on wireless communication due to the direction of the management apparatus 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 be encrypted using a passkey, which can prevent activity data from being intercepted by a third party who is neither the managed person nor the user. . That is, it is possible to reduce the administrator's fear of interception of activity data, and to provide activity data from more administrators.

[Measurement unit 2044]
The measurement unit 2044 is not particularly limited as long as it is a measurement unit that can acquire activity data of the person being managed, and examples include a blood pressure monitor, a pulse meter, a pedometer, an exercise meter, a thermometer, and/or a blood sugar meter. The measuring unit may include one or more conventional measuring devices capable of measuring the activity data of the managed person.

It is preferable that the measuring unit 2044 is configured to be able to measure the activity data of the managed person at different dates and times and to store time-series information of the measured activity data. The measurement unit 2044 is configured to be able to measure the activity data of the managed person at different dates and times and store time-series information of the measured activity data, so that it can issue commands in response to commands from the management device 2002, etc. Time series information of activity data can be provided to the management device 2002 and the like. Thereby, 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 via wireless communication, the use of the communication band used for wireless communication is suppressed, and the activity data from other measurement terminals 2003 to the management device 2002 is reduced. The effect of facilitating the provision of data can also be expected.

[Display section 2045]
The type of display unit 2045 is not particularly limited as long as it can display analysis result time-series information and/or advice to be described later, and examples thereof include a monitor, a touch panel, a projector, and the like.

[Input section]
The type of input unit is not particularly limited as long as any one or more of a plurality of pieces of advice can be specified, and for example, a touch panel, a software keyboard, a microphone that recognizes voice, a communication device that receives input from an external device, 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 in a communicable manner; for example, a personal area network, a local area network, an intranet, an extranet, the Internet, and a Wi-Fi network. , a bus network based on the Universal Serial Bus (USB), or a network that combines multiple networks including these.

Preferably, the network N 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.

[Main flowchart of health management processing]
FIG. 27 is a main flowchart showing an example of health management processing executed by the management device 2002. Hereinafter, a preferred procedure for health management processing 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 to receive activity data from the measurement terminal 2003 (step S2010). The control unit 2021 moves the process to step S2020. A preferred procedure for the activity data reception process performed in step S2010 will be described in more detail later using FIG. 28.

Activity data can be received from the measurement terminal 2003 by executing the activity data reception unit 2211 and performing an activity data reception process of receiving activity data from the measurement 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. Processing is performed (step S2020). The control unit 2021 moves 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 using FIG. 29.

By performing activity data analysis processing, when a patient etc. uses the measurement terminal 2003 to provide activity data, lifestyle analysis results are generated based on the patient's activity data provided from the measurement terminal 2003. It is possible.

[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 performs a service screen generation process to generate a proposed service screen including the proposed service based on the analysis result etc. generated in step S2020. (Step S2030). The control unit 2021 moves 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 using FIG. 30.

By performing service screen generation processing, when a patient etc. provides activity data using the measurement terminal 2003, diseases based on analysis results generated based on the patient's activity data provided from this measurement terminal 2003. A screen may be generated that includes information and corresponding suggested services. Therefore, a service reflecting the activity data can be proposed via the generated screen. Furthermore, it is possible to propose services that reflect not only activity data but also lifestyle habits analyzed based on the activity data. Therefore, it is possible to propose services that reflect not only activity data but also various information based on activity data.

[Activity data reception processing]
FIG. 28 is a flowchart illustrating an example of activity data reception processing executed by the management device 2002. A preferred procedure for the activity data reception process performed in step S2010 of FIG. 27 will be described below with reference to FIG.

(Step S2011: Determine whether there is a connectable measurement terminal)
The control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and performs processing to determine whether there is a connectable measurement terminal 2003 (step S2011). If there is a connectable measurement terminal 2003, the control unit 2021 moves the process to step S2012. If there is no connectable measurement terminal 2003, the control unit 2021 ends the activity data reception process and moves the process to step S2020.

By performing a process of determining whether or not there is a connectable measurement terminal 2003, the control unit 2021 receives activity data provided from the measurement terminal 2003 only when there is a connectable measurement terminal 2003. can be executed. Thereby, 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 processing for receiving activity data.

(Step S2012: Determine whether there is a measurement terminal that can receive activity data)
The control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and refers to the terminal information table 2221 regarding connectable measurement terminals 2003, and selects measurement terminals that can receive activity data. A process of determining whether or not 2003 exists is performed (step S2012).

The means for determining whether 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, if the reception possibility 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".

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 radio wave bands that can be used in wireless communication and/or restrictions on communication devices used for wireless communication. obtain. If the total number of measurement terminals 2003 to be connected in a wireless communication connection is greater 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 limit on the number of measurement terminals 2003 that can be connected at the same time. There is a possibility that all measurement terminals 2003 cannot be connected at the same time, and activity data cannot be received from measurement terminals 2003 that are not connected at the same time.

A 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 to determine whether or not there is a measurement terminal 2003 that can receive activity data. This is a means for determining whether or not there is a measurement terminal 2003 identified by a terminal ID that is "unreceived". A measurement terminal 2003 identified by the terminal ID) and a measurement terminal 2003 different from the measurement terminal 2003 that was the source of the activity data (measurement terminal 2003 identified by the terminal ID whose reception status is "not received"). Can be distinguished. 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 available radio bands and/or restrictions on communication devices used for wireless communication. Even if the activity data is transmitted, it is determined whether there is a measurement terminal 2003 different from the measurement terminal 2003 that was the transmission source of the activity data, and the activity data is collected from the measurement terminal 2003 that is different from the measurement terminal 2003 that was the transmission source of the activity data. can be received.

If there is a measurement terminal 2003 that can receive activity data, the control unit 2021 moves the process to step S2013. If there is no measurement terminal 2003 capable of receiving activity data, the control unit 2021 moves the process to step S2014.

(Step S2013: Receive activity data from a predetermined number or less of measurement terminals that can receive activity data)
The control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and receives activity data from a predetermined number or less of measurement terminals 2003 that are connectable and capable of receiving activity data. 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 moves the process to step S2016.

For measurement terminals 2003 that are connectable and capable of receiving activity data, the management device 2002 performs a process of receiving activity data from a predetermined number or less of measurement terminals 2003, such as measurement terminals 2003 capable of receiving activity data. Activity data can be received from a measurement terminal 2003 different from the measurement terminal 2003 that was the 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 available radio bands and/or restrictions on communication devices used for wireless communication. Even when the measurement terminal 2003 is used, activity data can be received from a number of measurement terminals 2003 exceeding a predetermined number. Therefore, activity data can be received more reliably and services based on the activity data can be proposed.

By performing a process of changing the reception status stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it may be possible to determine the measurement terminal 2003 that was the source of the activity data. . For measurement terminals 2003 that are connectable and capable of receiving activity data, by changing the last reception date and time stored in the terminal information table 2221 to the current date and time, the date and time when activity data was last received from the measurement terminal 2003 is determined. can be obtained.

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 for which a predetermined time has elapsed since the reception of the activity data, which is realized in steps S2014 and S2015. preferable. Thereby, the measurement terminal 2003 that has received the activity data can receive activity data that can be provided after the measurement terminal 2003 starts and/or completes reception of the activity data when a predetermined period of time has elapsed.

(Step S2014: Determine whether there is a measurement terminal for which a predetermined period of time has passed since reception)
The control unit 2021 executes the activity data receiving 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 period of time has passed since the reception of the measurement terminals 2003 that can be connected. A determination process is performed (step S2014). If there is a measurement terminal 2003 for which a predetermined period of time has passed since the reception, the control unit 2021 moves the process to step S2015. If there is no measurement terminal 2003 for which a predetermined period of time has passed since the reception, the control unit 2021 ends the activity data reception process and moves the process to step S2020.

The measurement terminal 2003 can measure and accumulate activity data even after providing the activity data 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 receiving activity data from a measurement terminal 2003 different from the measurement terminal 2003 that was the source of the activity data, there is a possibility that the activity data measured and accumulated by the measurement terminal 2003 after providing the activity data cannot be received.

By performing a process of determining whether or not there is a measurement terminal 2003 for which a predetermined period of time has elapsed since reception of connectable measurement terminals 2003, when a predetermined period of time has elapsed for a measurement terminal 2003 that has received activity data, The management device 2002 may receive activity data that the measurement terminal 2003 is able to provide after starting and/or completing reception of the activity data. Therefore, the measurement terminal 2003 can more reliably receive the activity data that can be provided after providing the activity data, and can propose a service based on the activity data. Regarding the connectable measurement terminals 2003, the process of determining whether or not there is a measurement terminal 2003 for which a predetermined period of time has passed since reception is not particularly limited, and for each terminal ID stored in the terminal information table 2221, it is associated with the terminal ID. It may be a process for determining whether there is a measurement terminal 2003 for which a predetermined period of time has elapsed since the reception by comparing the latest reception date and time with the current time.

(Step S2015: Receive activity data from a predetermined number or less of measurement terminals for which a predetermined time has elapsed since reception)
The control unit 2021 executes the activity data receiving unit 2211 in cooperation with the storage unit 2022 and the communication unit 2023, and receives activity data from a predetermined number or less of the measurement terminals 2003 that are connectable and for which a predetermined period of time has elapsed since reception. Processing is performed to receive the data, change the reception status stored in the terminal information table 2221 to "received", and change the last reception date and time to the current date and time (step S2015). The control unit 2021 moves the process to step S2016.

When a predetermined time has elapsed for a measurement terminal 2003 that can be connected and that has received activity data by performing a process of receiving activity data from a predetermined number or less of measurement terminals 2003, In addition, the management device 2002 may receive activity data that the measurement terminal 2003 is able to provide after starting and/or completing reception of the activity data. Therefore, the measurement terminal 2003 can more reliably receive the activity data that can be provided after providing the activity data, and can propose a service based on the activity data.

By performing a process of changing the reception status stored in the terminal information table 2221 to "received" for the measurement terminal 2003 that has received the activity data, it may be possible to determine the measurement terminal 2003 that was the source of the activity data. . For measurement terminals 2003 that are connectable and capable of receiving activity data, by changing the last reception date and time stored in the terminal information table 2221 to the current date and time, the date and time when activity data was last received from the measurement terminal 2003 is determined. 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 stores the terminal ID that identifies the measurement terminal 2003 that provided the activity data, the managed person that provided the activity data, and the activity data. A process of associating the received date and time with the received activity data and storing them in the activity data table 2222 is performed (step S2016). The control unit 2021 ends the activity data reception process and moves the process to step S2020.

A 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 of receiving the activity data, and the received activity data and storing them in the activity data table 2222. By doing so, it is possible to store that the measurement terminal 2003 identified by the terminal ID is the source of the activity data. Furthermore, the date and time when the activity data was received can be stored for the measurement terminal 2003 identified by the terminal ID.

Although this is not an essential aspect, in step S2012, the device refers to the terminal information table 2221 and determines whether or not there is a measurement terminal 2003 that can receive activity data. If the method is to determine whether or not there is a measurement terminal 2003 identified by a terminal ID that is "receivable" and whose reception state is "unreceived", the method is to collect activity data from all of the plurality of measurement terminals 2003. When received and stored, the control unit 2021 executes a process of changing the reception state to "not received" for each activity data associated with the reception state "received" stored in the terminal information table 2221. It is preferable. The process of determining whether activity data has been received and stored from all of the plurality of measurement terminals 2003 is not particularly limited, and for example, for all of the plurality of measurement terminals 2003, the measurement terminal 2003 is identified. It may be a process of determining whether or not the terminal ID is stored in the terminal information table 2221 in association with the reception status "received".

By performing the process of changing the reception status to "not received", the measurement terminal 2003 that has received the activity data can start receiving the activity data and/or when the measurement terminal 2003 receives the activity data from all of the plurality of measurement terminals 2003. Alternatively, the measurement terminal 2003 may receive activity data that can be provided after completion. Therefore, it is possible to more reliably receive activity data that can be provided by the measurement terminal 2003 after starting and/or completing the activity data, and to propose a service based on the activity data.

[Activity data analysis processing]
FIG. 29 is a flowchart illustrating an example of activity data analysis processing executed by the management device 2002. A preferred procedure for the activity data analysis process executed in step S2020 in FIG. 27 will be described below with reference to FIG. 29.

(Step S2021: Determine whether there is activity data to be evaluated)
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, and performs processing to determine whether there is activity data to be evaluated (step S2021). If activity data has been received in the data reception process and there is activity data to be evaluated, the control unit 2021 moves 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 moves the process to step S2023.

By performing the process of determining whether or not there is activity data to be evaluated, if there is activity data to be evaluated received in the data reception process, the control unit 2021 determines whether or not there is activity data to be evaluated. can perform processing to generate .

(Step S2022: Select one piece of activity data to be evaluated and generate an evaluation based on the standard 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 piece of activity data to be evaluated, and selects one piece of activity data to be evaluated. A process of generating an evaluation based on the reference information obtained is performed (step S2022). The control unit 2021 moves the process to step S2021.

By selecting one piece of activity data to be evaluated and generating an evaluation based on the standard information stored in the standard information table 2223, when there is activity data to be evaluated, the control unit 2021 , an evaluation based on the reference information may be generated for the activity data.

More details regarding the process of generating an evaluation based on the criterion information stored in the criterion information table 2223 when the criterion information stored in the criterion information table 2223 is criterion information indicating an upper limit and/or lower limit regarding activity data. explain. Regarding the activity data to be evaluated, the control unit 2021 acquires and refers to the standard information associated with the item corresponding to the activity data from the standard information table 2223, and refers to the standard information associated with the item corresponding to the activity data to be evaluated. It is determined whether the activity data indicates a value that satisfies an upper limit and/or a lower limit. If the activity data indicates a value that satisfies the upper limit and/or lower limit indicated by the reference information, an evaluation associated with the reference information is generated. If the activity data does not indicate a value that satisfies the upper limit and/or lower limit 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.

When the standard information stored in the standard information table 2223 is a statistical value regarding activity data, the process of generating an evaluation based on the standard information stored in the standard information table 2223 involves comparing the activity data and the statistical value. The process is not particularly limited as long as it generates an evaluation, for example, a process that generates 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. Examples include processing that generates an evaluation based on an index based on a difference and/or ratio with a statistical value.

(Step S2023: Determine whether there is an evaluation that can generate new disease information)
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 capable of generating new disease information from the evaluation generated in step S2022. A process of determining whether there is an evaluation is performed (step S2023). If there is an evaluation that can generate new disease information, the control unit 2021 moves the process to step S2024. If there is no evaluation that can generate new disease information, the control unit 2021 moves the process to step S2025.

By performing a process of determining whether there is an evaluation that can generate new disease information, if there is an evaluation that can generate new disease information, it is possible to perform a process of generating disease information based on the evaluation. .

(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 selects evaluations that can generate new disease information from among the evaluations generated in step S2022. One is selected, and the disease information stored in the disease information table 2224 is used to generate disease information based on the selected evaluation (step S2024). The control unit 2021 moves the process to step S2023.

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. For the generated evaluation, the control unit 2021 determines whether disease information associated with an evaluation condition including the selected evaluation is stored in the disease information table 2224. If the associated disease information is stored, it is determined whether the generated evaluation satisfies the evaluation condition associated with the disease information, and if the evaluation condition is satisfied, the disease information is generated. If the associated disease information is not stored, no disease information is generated.

(Step S2025: Evaluate and determine 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 S2024 are A process is performed to determine whether or not there is one (step S2025). If there is the generated evaluation and the generated disease information, the control unit 2021 moves the process to step S2026. If there is no generated evaluation or generated disease information, the control unit 2021 ends the activity data analysis process and moves the process to step S2030.

By performing the process of determining whether or not there is the evaluation generated in step S2022 and the disease information generated in step S2024, if there is the generated evaluation and the generated disease information, Processing may be performed to generate an evaluation and an analysis result 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 uses the evaluation generated in step S2022 and the disease information generated in step S2024. A process is performed to generate an analysis result based on the analysis result table 2225 and store it in the analysis result table 2225 (step S2026). The control unit 2021 ends the activity data analysis process and moves the process to step S2030.

In order to generate an analysis result based on the evaluation generated in step S2022 and the disease information generated in step S2024 and store it in the analysis result table 2225, the received activity data is stored in the reference information table 2223. An analysis result can be generated based on the reference information and the disease information stored in the disease information table 2224.

When a human evaluates activity data, unless reference information is used as a basis for evaluation, the evaluation may include the subjectivity and arbitrary judgments of the person doing the evaluation. Therefore, when disease information is generated based on an evaluation performed by a human without using reference information, there may be room for improvement in the objectivity of the disease information due to subjectivity and arbitrary judgments included in the evaluation. Analysis results generated based on disease information that has room for improvement in objectivity may also have room for improvement in objectivity.

By executing the evaluation generation unit 2212A in steps S2021 and S2022, an evaluation of the activity data is generated based on the reference information, so that the influence of the subjectivity of the person performing the evaluation, arbitrary judgment, etc. can be suppressed. Therefore, evaluations with improved objectivity may be generated. 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, disease information is generated based on the evaluation generated in this way. Since the analysis results are generated based on the acquired disease information, it is possible to generate analysis results with improved objectivity.

[Service screen generation process]
FIG. 30 is a flowchart illustrating an example of service screen generation processing executed by the management device 2002. Hereinafter, a preferred procedure for the service screen generation process performed in step S2030 of FIG. 27 will be described using FIG. 30.

(Step S2031: Determine whether there is evaluation and disease information that satisfy predetermined conditions)
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 there is evaluation and disease information that satisfies predetermined conditions regarding generation of a screen including the proposed service. The processing to do so is performed (step S2031). If there is evaluation and disease information that satisfy the predetermined conditions, the control unit 2021 moves the process to step S2032. If there is no evaluation or disease information that satisfies the predetermined conditions, the control unit 2021 moves the process to step S2034.

By performing the process of determining whether there is evaluation and disease information that meet predetermined conditions, the control unit 2021 executes a process of generating a proposed service screen when there is evaluation and disease information that meet predetermined conditions. can.

If a patient's activity data suggests that he or she may have a health condition, the patient may request medical services to investigate the possibility of a health condition and/or Additional beneficial services, such as corresponding medical services, may be required. If a patient, etc. may be suffering from some disease, the patient, etc. may receive useful services such as medical services that examine the possibility of suffering from the disease and/or medical services related to treatment of the disease. More may be needed. If both of these possibilities are suggested, the patient may be in even greater need of beneficial services.

The predetermined conditions regarding the generation of the screen including the proposed service are not particularly limited as long as they are conditions regarding the generation of the screen including the proposed service. Preferably, the predetermined conditions include conditions corresponding to a case where the evaluation and disease information indicate the above-mentioned possibility. By including a condition corresponding to the case where the predetermined condition corresponds to the case where the evaluation and disease information indicate the above-mentioned possibility, the proposed service is provided when the predetermined condition corresponding to the case where the patient etc. needs the service even more. Since the screen including the above information is generated, it is possible to propose services that are beneficial to the patient and the like when the patient and the like need more services.

(Step S2032: Generate proposed 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 processing to generate a proposed service screen including the proposed service corresponding to the disease information (step S2032). The control unit 2021 moves the process to step S2033.

By performing the process of generating a proposed service screen that includes disease information and the corresponding proposed service, a screen that includes the proposed service is generated when a patient, etc. who is determined based on predetermined conditions needs the service even more. When a patient, etc. needs a service even more, it is possible to propose a service that is beneficial to the patient, etc.

The information included in the proposed service screen is not particularly limited as long as it includes disease information and corresponding proposal services; for example, a service that proposes viewing disease information, a service that proposes viewing analysis results and disease information, and disease information. Examples include a service that proposes a medical service corresponding to the analysis results and disease information, and a service that proposes a medical service corresponding to the analysis result and disease information.

(Step S2033: Send the proposed 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 moves the process to step S2034.

The external device to which the proposed service screen is sent is not particularly limited, and includes, for example, the display terminal 2004, an administrator terminal used by employees of a medical facility such as a doctor, nurse, care manager, etc., and/or Alternatively, a related party terminal used by a related party such as a patient, such as a patient's family, an insurance person, etc., may be mentioned.

By performing the process of transmitting the proposed service screen generated in step S2032 to an external device, patients etc. who use the display terminal 2004, employees who use the administrator terminal, and/or related parties who use the related party terminal patients, etc., and provide the services to patients, etc.

Although this is not an essential aspect, when there are multiple analysis results, the control unit 2021 executes the advice provision unit 2215 in cooperation with the storage unit 2022 and the communication unit 2023, and optionally applies information to each of the multiple analysis results. , and associates the advice with an ID that can identify the advice, the user who gave the advice, the date and time when the advice was received, and an analysis result ID that can identify the analysis result. The information may also be stored in the advice table 2226. This allows users of the management device 2002, such as doctors, nurses, care managers, etc., to provide advice to the analysis results.

When the advice giving unit 2215 is executed, the control unit 2021 executes the time series information transmitting unit 2216 in cooperation with the storage unit 2022 and the communication unit 2023 to generate an analysis result time series that can display the analysis results in chronological order. It is preferable to send advice from the user of the management device 2002 regarding information and analysis results, and correspondence information between the advice and the analysis results to the display terminal 2004. Since the time-series information transmitting unit 2216 transmits correspondence information, which is a correspondence between analysis results and advice, to the terminal 2004, patients etc. who use the display terminal 2004 can communicate with the management device through the correspondence information received by the display terminal 2004. Advice from users of 2002 can be obtained. Therefore, a user of the management device 2002, exemplified by a doctor or the like, can give advice to a patient or the like by adding advice to the analysis results. Therefore, it is possible to propose a service in which advice from the user of the management device 2002 is given to patients and the like.

By executing the time-series information transmitter 2216, it is possible to propose a service that provides analysis result time-series information that can be useful for understanding changes in analysis results over time. In addition, if a service is proposed that provides advice from the user of the management device 2002 to patients, etc., and a service that provides chronological analysis result information, from the analysis results displayed in chronological order using the corresponding information, It is possible to further propose a service that makes it possible to obtain advice corresponding to the analysis results.

Although this is not an essential aspect, it is preferable that the control unit 2021 further performs notification processing including the processing in steps S2034 and S2035. By performing the notification process, a patient or the like can grasp information related to the disease through the terminal when the patient or the like may be suffering from some disease.

(Step S2034: Determine whether there is disease information that satisfies specific conditions)
The control unit 2021 executes the notification unit 2214 in cooperation with the storage unit 2022 and the communication unit 2023, and performs processing to determine whether there is disease information that satisfies a specific condition (step S2031). If there is disease information that satisfies the specific conditions, the control unit 2021 moves the process to step S2035. If there is no disease information that satisfies the specific conditions, the control unit 2021 ends the service screen generation process, moves the process to step S2010, and repeats the processes from step S2010 to step S2035.

By performing a process of determining whether there is disease information that satisfies a specific condition, it is possible to perform a process of notifying when there is disease information that satisfies a specific condition. Specific conditions are not particularly limited, and include, for example, conditions that are met when a patient, etc. may suffer from some disease, and conditions that are met when a patient, etc. suffers from some disease, and the degree of progression of the disease is at or above a specific degree of progression. Conditions that are satisfied, etc. may be sufficient.

(Step S2035: Notify information regarding 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 disease information (step S2035). The control unit 2021 ends the service screen generation process, moves the process to step S2010, and repeats the processes from step S2010 to step S2035.

By performing the process of notifying the display terminal 2004 of information regarding disease information, a patient or the like can grasp information regarding the disease information through the display terminal 2004 when the patient or the like may be suffering from some disease determined based on specific conditions. This makes it possible to provide a management device 2002 that can propose services that are even more beneficial to patients and the like.

By causing the management device 2002 to execute the procedures from step S2010 to step S2035, when a patient etc. provides activity data using the measurement terminal 2003, the activity data of the patient etc. provided from this measurement terminal 2003 is It is possible to generate lifestyle analysis results based on the analysis results, and generate a screen containing disease information and corresponding suggested services based on the generated analysis results. Therefore, services that reflect activity data can be proposed via the generated screen.

By causing the management device 2002 to execute the procedures from step S2010 to step S2035, it is possible to propose a service that reflects not only the activity data but also the lifestyle habits analyzed based on the activity data. Furthermore, it is possible to propose services that also reflect disease information based on analysis results. Therefore, it is possible to propose services that reflect not only activity data but also various information based on activity data.

Therefore, by causing the management device 2002 to execute the procedures from step S2010 to step S2035, it is possible to provide the management device 2002 that can propose useful services to patients and the like using activity data acquired from the patients and the like.

When the management device 2002 transmits analysis result time-series information that can display analysis results in chronological order, advice from a doctor or the like regarding the analysis results, and correspondence information between the advice and the analysis results to the display terminal 2004, the display terminal 2004 It is preferable to perform an analysis result time-series information display process that displays the analysis results in chronological order. By performing analysis result time series information display processing, it is possible to propose a service that provides analysis result time series information that can be useful for understanding changes in analysis results over time.

[Main flowchart of analysis result time series information display processing]
FIG. 31 is a flowchart illustrating 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 analysis result time-series information that allows analysis results to be displayed in chronological order, advice from a doctor, etc. regarding the analysis results, and correspondence information between the advice and the analysis results. A preferred procedure for displaying analysis result time-series information performed by the display terminal 2004 when transmitting to the terminal 2004 will be described.

(Step S2041: Determine whether or not 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 processing to determine whether or not analysis result time series information has been received from the management device 2002 (step S2041). ). Upon receiving the analysis result time series information from the management device 2002, the control unit 2041 moves the process to step S2042. If analysis result time series information has not been received from the management device 2002, the control unit 2041 moves the process to step S2047.

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 results in time series when the analysis result time series information is received.

(Step S2042: Determine whether 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 processing to determine whether advice and response information have been received from the management device 2002 (step S2042). After receiving the advice and response information from the management device 2002, the control unit 2041 moves the process to step S2043. If advice etc. have not been received from the management device 2002, the control unit 2041 moves the process to step S2046.

By performing the process of determining whether advice and response information have been received, the control unit 2041 can execute the process of displaying a list of advice when advice is received.

(Step S2043: Control to display advice list)
The control unit 2041 executes the display control unit 2413 in cooperation with the storage unit 2042, communication unit 2043, and display unit 2045, and causes the display unit 2045 to display the list of advice received in step S2042 via the correspondence information. Control processing is performed (step S2043). The control unit 2041 moves the process to step S2044.

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 etc. using the display terminal 2004 can Advice from the user of the management device 2002 can be obtained. Therefore, a doctor or the like can give advice to a patient or the like by adding advice to the analysis result. Therefore, it is possible to propose a service that provides advice from a doctor or the like to a patient or the like.

(Step S2044: Determine whether 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 specified information has been received from a patient or the like using the display terminal 2004. (Step S2044). After receiving the designation information, the control unit 2041 moves the process to step S2045. If the designation information has not been received, the control unit 2041 moves the process to step S2046.

When a service is proposed that displays analysis result time-series information on the display unit 2045, the display terminal 2004 can be used by performing processing to determine whether specified information has been received from a patient or the like using the display terminal 2004. When a patient, etc. specifies one or more of multiple pieces of advice, the display range of analysis result time-series information is controlled to include the analysis results associated with the advice, and the analysis results are associated with the advice. may propose a service that displays a range that includes.

(Step S2045: Control to display analysis result time series information corresponding to 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 performs control to display a corresponding image regarding the analysis result time series information and corresponding information corresponding to the specified information. The processing to do so is performed (step S2045). The control unit 2041 moves the process to step S2047.

By performing control processing to display the analysis result time series information corresponding to the specified information, the analysis result time series information is displayed on the display section, and patients, etc. using the terminal can use this display to view the analysis result time series information. It is possible to propose a service that can grasp changes in the series. By performing control processing to display a corresponding image corresponding to the corresponding information, a patient or the like using the display terminal 2004 can grasp the presence or absence of advice corresponding to the analysis result. Furthermore, a service may be proposed in which a patient or the like using the display terminal 2004 can select this corresponding image and obtain corresponding advice.

By performing control processing to display analysis result time-series information corresponding to specified information, when a patient, etc. using the display terminal 2004 specifies any one or more of multiple pieces of advice, it can be associated with the advice. We can propose a service that controls the display range of analysis result time-series information to a range that includes analysis results associated with advice and displays the range that includes analysis results that are associated with 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 processing for controlling the display of corresponding images regarding the analysis result time series information and the corresponding information ( Step S2046). The control unit 2041 moves the process to step S2047.

By performing control processing to display analysis result time series information, the analysis result time series information is displayed on the display unit 2045, and a patient or the like using the display terminal 2004 can use this display to view the analysis result time series information. We can propose services that allow us to understand changes. By performing control processing to display a corresponding image corresponding to the corresponding information, a patient or the like using the display terminal 2004 can grasp the presence or absence of advice corresponding to the analysis result. Furthermore, a service may be proposed in which a patient or the like using the display terminal 2004 can select this corresponding image and obtain corresponding advice.

(Step S2047: Determine whether 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 selection information that can identify one or more selected corresponding images has been received. A determination process is performed (step S2047). If the selection information is received, the control unit 2041 moves the process to step S2048. If the selection information has not been received, the control unit 2021 moves the process to step S2041 and repeats the processes from step S2041 to step 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 the display of advice corresponding to the selected information (step S2046). The control unit 2021 moves the process to step S2041, and repeats the processes from step S2041 to step S2048.

By performing control processing to display the corresponding advice, a patient or the like using the display terminal 2004 can command the display of the advice corresponding to the analysis result, obtain the advice, and propose services that can be used. .

<Example of use of system 2001>
Next, an example of how the system 2001 in this embodiment is used will be described.

[Providing activity data]
A patient or the like wears the measurement terminal 2003 to measure activity data of the patient 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 communicate wirelessly, and provides the management device 2002 with 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 reception unit 2211, determines that there is a measurement terminal 2003 that is connectable and capable of receiving activity data, and receives the activity data from the measurement terminal 2003 that can receive activity data. Performs a series of processes to receive and store received activity data. As a result, activity data of the patient, etc. is provided from the measurement terminal 2003 to the management device 2002, and the provided activity data is stored in the management device 2002.

[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, generates disease information based on the generated evaluation, and generates disease information based on the generated evaluation. A series of processes are performed to generate analysis results based on the evaluation and generated disease information. As a result, an analysis result regarding the activity data provided by the patient or the like via the measurement terminal 2003 is generated.

[Generation of 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 proposed service for evaluation and disease information that meet predetermined conditions, and displays the generated screen on the display terminal. 2004. The control unit 2021 of the management device 2002 executes the notification unit 2214, and performs a process of notifying the display terminal 2004 of information regarding disease information when the disease information satisfies a specific condition.

[Service screen display]
The control unit 2041 of the display terminal 2004 receives the service screen and displays it on the display unit 2045.

According to the above-described series of steps, when a patient etc. uses the measurement terminal 2003 to provide activity data, a lifestyle analysis result is generated based on the activity data of the patient etc. provided from the measurement terminal 2003, It is possible to generate a screen containing disease information and corresponding proposed services based on the generated analysis results. Therefore, services that reflect activity data can be proposed via the generated screen.

Further, through the above-described series of procedures, it is possible to propose a service that reflects not only activity data but also lifestyle habits analyzed based on the activity data. Furthermore, it is possible to propose services that also reflect disease information based on analysis results. Therefore, it is possible to propose services that reflect not only activity data but also various information based on activity data.

[Transmission of time series information, etc.]
The control unit 2021 of the management device 2002 executes the advice giving unit 2215 and stores advice given to the analysis result and an analysis result ID that is correspondence information that associates the advice with the analysis result. The control unit 2021 of the management device 2002 executes the time-series information transmitting unit 2216, and receives analysis result time-series information that can display analysis results in chronological order from the user of the management device 2002 (for example, a doctor, etc.) regarding the analysis results. The advice and the correspondence information between the advice and the analysis result are transmitted to the display terminal 2004.

[Receiving analysis results chronological information, advice, and response information]
The control unit 2041 of the display terminal 2004 executes the analysis result receiving unit 2411 and receives analysis result time series information. The control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives advice and corresponding information, and controls the display unit 2045 to display a list of the received advice.

FIG. 32 is an example of a display on the display unit 2045 of the display terminal 2004, and is an example when the display control unit 2413 causes the display unit 2045 to display a plurality of pieces of advice. FIG. 33 is an example of a display continued from FIG. 32, and is an example when the display control unit 2413 causes the display unit 2045 to display analysis result time series information. Hereinafter, reception and display of analysis result time series information, advice, and response information will be explained using FIGS. 32 and 33.

In the display example shown in FIG. 32, the display unit 2045 includes an advice list display area 2045A that displays an advice list, an analysis result time series information display area 2045B that displays analysis result time series information, and a patient etc. A display area 2045C is included.

In the display example shown in FIG. 32, a plurality of advices 2045A1 including a first advice 2045A1a, a second advice 2045A1b, a third advice 2045A1c, and a fourth advice 2045A1d are displayed in the advice list display area 2045A. Reference numeral 2045A1 shall summarize these advices. The first advice 2045A1a, the second advice 2045A1b, the third advice 2045A1c, and the fourth advice 2045A1d are the advice stored in the ID "S0001" of the advice table 2226 shown in FIG. 26, and the advice stored in the ID "S0002". The advice corresponds to the advice stored in the ID "S0003" and the advice stored in the ID "S0004".

By displaying a plurality of pieces of advice 2045A1 in the advice list display area 2045A, a patient or the like using the display terminal 2004 can obtain advice from the user of the management device 2002 via the corresponding information received by the display terminal 2004. obtain. Therefore, a doctor or the like can give advice to a patient or the like by adding advice to the analysis result. Therefore, it is possible to propose a service that provides advice from a doctor or the like to a patient or the like.

Regarding the service of providing advice from doctors to patients, etc., in the display example shown in Fig. 32, the doctor who has obtained the second advice 2045A1b "Mr. Sato seems lightheaded" given by the nurse is not able to stand up. Third advice 2045A1c, ``Please schedule a test for tomorrow morning,'' will be given to the patient who caused the accident (Mr. Sato) to be tested. The care manager who obtained the third advice 2045A1c given by the doctor gives the fourth advice 2045A1d, "I have scheduled a test at 9 a.m. tomorrow morning," which indicates that the test was scheduled according to the third advice 2045A1c. do. The patient, etc. (Mr. Sato) can obtain the second advice 2045A1b to fourth advice 2045A1d via the display terminal 2004, and can be provided with the service of undergoing an examination according to the second advice 2045A1b to fourth advice 2045A1d.

In the display example shown in FIG. 32, a first advice designation image 2045A2a, a second advice designation image 2045A2b, and a third advice designation image 2045A2c used for designation of advice are displayed in the advice list display area 2045A. Reference numeral 2045A2 collectively refers to these advice designation images. The first advice specification image 2045A2a, the second advice specification image 2045A2b, and the third advice specification image 2045A2c are respectively associated with the first advice 2045A1a, the second advice 2045A1b, and the third advice 2045A1c.

The advice designation image 2045A2 is displayed in the advice list display area 2045A, and each advice designation image 2045A2 is associated with the advice 2045A1, so that a patient or the like using the display terminal 2004 can use the advice designation image 2045A2 to Associated advice 2045A1 may be specified.

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 changes in the time series of analysis results, are The analysis result is displayed in the time series information display area 2045B. Reference numeral 2045B1 summarizes these analysis result time series information.

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 section 2045, and a patient or the like using the display terminal 2004 can perform analysis using this display. We can propose a service that can grasp changes in results over time.

In the display example shown in FIG. 32, analysis result time-series information 2045B1 including the analysis result corresponding to ID "A0001" and the analysis result corresponding to ID "A0002" in FIG. 25 is displayed. Patients and others using the display terminal 2004 use the analysis result time-series information 2045B1 from the time when the analysis result corresponding to ID "A0001" is generated to the time when the analysis result corresponding to ID "A0002" is generated. It is possible to understand the changes in the analysis results over time.

In the display example shown in FIG. 32, a first corresponding image 2045B2a indicating that advice has been added to the analysis result corresponding to ID "A0002" is displayed in the analysis result time-series information display area 2045B. Furthermore, in the display example shown in FIG. 33, a second corresponding image 2045B2b indicating that advice has been added to the analysis result corresponding to ID "A0004" is displayed in the analysis result time series information display area 2045B. Reference numeral 2045B1 summarizes these analysis result time series information.

By displaying the corresponding image 2045B2 in the analysis result time series information display area 2045B, the user of the display terminal 2004 can specify advice given from the analysis result time series information and obtain the advice. The user of the display terminal 2004 specifies the advice given from the analysis result time series information, and as a means for acquiring the advice, for example, the user inputs information specifying the corresponding image 2045B2 to the display terminal 2004 through the input unit. The display terminal 2004, which has received the information specifying the corresponding image 2045B2, may control the display unit 2045 so that the advice corresponding to the corresponding image 2045B2 is displayed in the advice list display area 2045A.

[Specification of advice]
Return to FIG. 32. A patient or the like using the display terminal 2004 uses the advice designation image 2045A2 to transmit designation information that designates any one or more of the plurality of advices 2045A1. The control unit 2041 of the display terminal 2004 executes the display control unit 2413, receives the specified information, and controls the display range of the analysis result time series information to a range that includes the analysis results associated with the specified advice.

FIG. 33 shows that a patient or the like using the display terminal 2004 uses the first advice designation image 2045A2a shown in FIG. This shows a state in which the display range of the information 2045B1 is controlled to a range that includes the analysis result associated with the specified first advice 2045A1a (the analysis result corresponding to the analysis result ID "A0004" in FIG. 25).

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" of the analysis result table 2225 shown in FIG. 25 corresponds to the advice stored in the analysis result ID "A0004". It is associated with the analysis results stored in .

In the display example shown in FIG. 33, the display range of the analysis result time series information 2045B1 is controlled to include the analysis result stored in the analysis result ID "A0004". Furthermore, “Hanako Sato”, a patient, etc. corresponding to the analysis result stored in the analysis result ID “A0004” is displayed in the patient, etc. display area 2045C.

Since the display range of the analysis result time-series information 2045B1 is controlled to include the analysis results stored in the analysis result ID "A0004", patients etc. who use the display terminal 2004 can receive the first advice 2045A1a. Analysis results and changes in the analysis results over time can be grasped. Therefore, it is possible to propose a service in which analysis result time-series information is displayed on the display unit 2045, and a patient or the like using the display terminal 2004 can use this display to grasp changes in the analysis results over time.

Since "Hanako Sato", the patient, etc. corresponding to the analysis result stored in the analysis result ID "A0004" is displayed in the patient display area 2045C, the patient, etc. using the display terminal 2004 can see the analysis result at the time of analysis result. It is possible to know which patient, etc. the series information belongs to.

[Select compatible images]
Return to FIG. 32. A patient or the like using the display terminal 2004 transmits selection information specifying 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 to display advice associated with the selection information.

FIG. 34 is an example of a display continued from FIG. 32. In response to receiving selection information for selecting the corresponding image 2045B2a, the display control unit 2413 displays an advice 2045A1d regarding the corresponding image 2045B2a (corresponding to the advice ID "S0001" in FIG. 26). This is an example of when the display unit 2045 displays the advice to 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 regarding the corresponding image 2045B2a (the advice corresponding to the advice ID “S0001” in FIG. 26) in response to receiving the selection information for selecting the corresponding image 2045B2a. do. As a result, in the display example shown in FIG. 34, the advice "This is temporary after exercise and there is no problem." corresponding to the advice ID "S0001" is displayed. Therefore, a patient or the like using the display terminal 2004 can obtain and use this advice. Patients, etc. who understand changes in analysis results using analysis result time-series information can obtain advice corresponding to the analysis results through corresponding images and corresponding information, allowing patients, etc. to utilize advice given by other users. It is possible.

Although the invention made by the present inventor has been specifically explained based on the embodiments above, the present invention is not limited to the embodiments described above, and various changes can be made without departing from the gist thereof. Needless to say. For example, the user terminals 110 include not only smartphones but also various types of terminals such as notebook PCs and tablet terminals.

Further, the above-described embodiments have been described in detail to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to having all the configurations described. 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. . Furthermore, some of the configurations of each embodiment may be added, deleted, or replaced with other configurations.

Moreover, each of the above-mentioned configurations, functions, and processing units may be partially or entirely realized by hardware (for example, an integrated circuit). In addition, each of the above configurations, functions, and processing units can be implemented using software that is installed via a network or on a storage medium such as a disk, or a network application such as ASP, in which a processor interprets and executes a program that implements each function. It may be realized. Information such as programs, tables, files, etc. that implement each function can be stored in a memory, a recording device such as a hard disk, an SSD (Solid State Drive), or a recording medium such as an IC card, an SD card, or a DVD.

100 Measuring device 110 User terminal 120 Management server 130 User information storage unit 131 Business 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 provision unit 170 Service screen generation unit 180 Service screen provision 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 reception unit 2212 Activity data analysis unit 2212A Evaluation generation section 2212B Disease information generation section 2212C Analysis result generation section 2213 Service screen generation section 2214 Notification section 2215 Advice provision section 2216 Time series information transmission section 2022 Storage section 2221 Terminal status table 2222 Activity data table 2223 Standard information table 2224 Disease information Table 2225 Analysis result table 2226 Advice table 2023 Communication section 2003 Measurement terminal 2004 Display terminal 2041 Control section 2411 Analysis result reception section 2412 Advice reception section 2413 Display control section 2042 Storage section 2043 Communication section 2044 Measurement section 2045 Display section 2045A Advice display area 2045A1 Advice 2045A2 Advice designation image 2045B Analysis result time series information display area 2045B1 Analysis result time series information 2045C Patient display area N1 First network N2 Second network W Management device side wireless device

Claims (9)

A management system consisting of a terminal and a management device connected to the terminal via a network,
The management device includes:
an activity data analysis unit that generates analysis results of lifestyle habits based on the activity data provided from the terminal;
a service screen generation unit that generates a screen including a proposed service corresponding to disease information of at least one of the disease risk based on the analysis result and the disease progression level based on the analysis result;
an advice provision unit capable of arbitrarily giving advice to the patient by a medical practitioner for each of the plurality of analysis results;
a time-series information transmitter that can transmit to the terminal analysis result time-series information that can display a plurality of the analysis results in chronological order, and correspondence information that is a correspondence between the analysis results and the advice;
Equipped with
The terminal is
Displaying a corresponding image associated with the corresponding information regarding the analysis result associated with the advice based on the corresponding information;
Displaying the advice associated with the correspondence information regarding the corresponding images when receiving selection information for selecting any one or more of the corresponding images among the plurality of corresponding images;
management system . The activity data analysis department is
an evaluation generation unit that generates an evaluation for the activity data provided from the terminal based on 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 system according to claim 1, comprising: The management system 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. The management system according to any one of claims 1 to 3, further comprising a notification unit that notifies the terminal of information regarding the disease information when the disease information satisfies a specific condition. The management system according to any one of claims 1 to 4, configured to be connectable to the terminal using wireless communication. further comprising an activity data receiving unit capable of receiving the activity data from the terminal using the wireless communication,
The activity data receiving unit is capable of simultaneously receiving 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 then receiving the activity data from a transmission source of the activity data. 6. The management system according to claim 5, wherein the terminal is different from the terminal, and is capable of simultaneously receiving the activity data from the predetermined number or less of the terminals. The activity data receiving unit is configured to receive information from the terminal that was the source of the activity data when a predetermined period of time has elapsed since the terminal started and/or completed receiving the activity data from the terminal that was the source of the activity data. 7. The management system according to claim 6, wherein the management system re-enables reception of the activity data of. 7. The activity data receiving unit, when receiving the activity data from all of the plurality of terminals, enables reception of the activity data from the terminal that was the transmission source again. Management system described in. A program executed by a management system consisting of a terminal and a management device connected to the terminal via a network,
an activity data analysis step of generating lifestyle analysis results in the management device based on the activity data provided from the terminal;
a service screen generation step of generating a screen including a proposed service corresponding to disease information of at least one of the disease risk based on the analysis result and the disease progression level based on the analysis result;
an advice giving step in which a medical practitioner can arbitrarily give advice to the patient for each of the plurality of analysis results;
a time-series information transmitting step capable of transmitting to the terminal analysis result time-series information that can display a plurality of the analysis results in chronological order, and correspondence information that is a correspondence between the analysis results and the advice;
run the
On the terminal,
a display step of displaying a corresponding image associated with the corresponding information regarding the analysis result that is associated with the advice based on the corresponding information;
a display control step of displaying the advice associated with the correspondence information regarding the corresponding images when selection information for selecting any one or more of the corresponding images among the plurality of corresponding images is received;
A program to run.