WO2017022013A1 - Serveur de gestion de santé, procédé de commande de serveur de gestion de santé et programme de gestion de santé - Google Patents

Serveur de gestion de santé, procédé de commande de serveur de gestion de santé et programme de gestion de santé Download PDF

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Publication number
WO2017022013A1
WO2017022013A1 PCT/JP2015/071804 JP2015071804W WO2017022013A1 WO 2017022013 A1 WO2017022013 A1 WO 2017022013A1 JP 2015071804 W JP2015071804 W JP 2015071804W WO 2017022013 A1 WO2017022013 A1 WO 2017022013A1
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WIPO (PCT)
Prior art keywords
health management
health
unit
information
target person
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PCT/JP2015/071804
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English (en)
Japanese (ja)
Inventor
勇児 溝口
充則 南野
怜 阪本
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株式会社ＦｉＮＣ
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Application filed by 株式会社ＦｉＮＣ filed Critical 株式会社ＦｉＮＣ
Priority to JP2016555796A priority Critical patent/JP6244476B2/ja
Priority to PCT/JP2015/071804 priority patent/WO2017022013A1/fr
Publication of WO2017022013A1 publication Critical patent/WO2017022013A1/fr

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    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/40—ICT specially adapted for the handling or processing of medical images for processing medical images, e.g. editing
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/67—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for remote operation

Definitions

  • the present invention relates to a health management server, a health management server control method, and a health management program, and more particularly to a health management server, a health management server control method, and a health management program capable of estimating future physical information and appearance.
  • the expert checks the food consumed by the client (person subject to health care) and the current health status from an online terminal, and creates a message for guidance based on the confirmation result. Need to send a message to the client's online terminal.
  • a client can notify, report, transmit, and transmit his / her physical condition information and the like via the Internet, etc.
  • a system that can always share the status information with medical personnel is disclosed.
  • this technology is configured to display a warning message when the physical condition exceeds a certain threshold value.
  • Patent Document 2 discloses a system for analyzing a client's life pattern based on sensor data recording the life pattern. In addition, this technology discloses a technology for analyzing sensor data and generating a life pattern feature amount of a client.
  • JP 2014-032440 A Japanese Patent No. 5466713
  • an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person.
  • a health management server is a health management server connected via a network to a terminal owned by a health care target person, and selected from the plurality of health care curriculum information by the health care target person
  • a receiving unit that receives one curriculum information from the terminal, a storage unit that stores a behavior pattern of a health care target person, and an action pattern stored in the storage unit, with the curriculum information output from the receiving unit,
  • the analysis unit that analyzes the continuation pattern when the behavior based on the curriculum information is continued and the stagnation pattern when the behavior based on the curriculum information stagnate, and the behavior pattern of the health management subject analyzed by the analysis unit Based on the artificial intelligence department that estimates the physical information and appearance of the future health management subject, and the physical information that the artificial intelligence department has estimated
  • a generation unit for generating appearance, the body information and the appearance generated by the generating unit, a transmission unit for transmitting an image or phrase to the terminal.
  • the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit.
  • the physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
  • the current physical information of the health management target person is stored in the storage unit, and is recommended by the artificial intelligence unit using the current physical information output from the storage unit.
  • the physical information and the appearance may be estimated, and a health care curriculum may be transmitted to the terminal.
  • the analysis unit can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern, and the artificial intelligence unit If it is assumed that the user has acted as a pattern, the physical information and the appearance of the health management subject predicted in the future may be estimated.
  • the analysis unit can statistically analyze a current current pattern of the health management target person, and the artificial intelligence unit performs the behavior of the current pattern on the health management target person. If it is assumed that the physical information and the appearance of the health management subject predicted in the future may be estimated.
  • the health management server further includes a calculation unit that calculates a usage frequency of the health management service delivered to the terminal by the health management target, and a behavior pattern level based on the usage frequency. It may be provided with a determination unit for determining whether or not.
  • the storage unit stores a past behavior pattern of the health management target person
  • the artificial intelligence unit is based on the past behavior pattern output from the storage unit
  • the personality of the health care target person can be estimated
  • the generation unit can generate recommended images and sentence examples based on the physical information and appearance of the health care target person.
  • the validity of the sentence example may be determined by comparing the generated image and personality, and the sentence example to be recommended may be regenerated by the generation unit.
  • a sentence example regenerated by the health management server may be acquired and fed back to the artificial intelligence unit.
  • the health management server determines whether or not the health manager has acted based on the generated sentence example, acquires the determination result, and feeds back to the artificial intelligence unit. It may be a thing.
  • a terminal held by a health care target person has a grouping terminal including a plurality of terminals grouped in advance, and the receiving unit transmits from each terminal constituting the grouping terminal.
  • the health management server further includes a reception unit that receives the generated sentence example, image, and evaluation to be transmitted to each terminal, and the generation unit A terminal that receives the same, similar, or opposite sentence example generated by the management server within a predetermined time is identified from the grouping terminals, and the health management target person who owns the identified terminal is set as the comparison target person.
  • a health management server control method is a health management server control method that is connected to a terminal of a health care target person via a network, and is a health care target person from a plurality of health care curriculum information.
  • a receiving step for receiving the curriculum information selected by the terminal from the terminal, a storing step for storing the action pattern of the health care target person accompanying the curriculum information output from the receiving step, and an action pattern stored in the storing step.
  • the analysis step to analyze the continuation pattern when the action based on the curriculum information is continued and the stagnation pattern when the action based on the curriculum information is stagnant, and the health management target person analyzed in the analysis step Estimate the physical information and appearance of future health care subjects based on behavior patterns
  • the health management program is a health management program connected to a terminal of a health care target person via a network, and the health care target person is selected from a plurality of health care curriculum information on a computer.
  • a reception function for receiving the selected one curriculum information from the terminal, a storage function for storing the behavior pattern of the health care target person associated with the curriculum information output from the reception function, and an action pattern stored in the storage function,
  • An analysis function that analyzes the continuation pattern when the action based on the curriculum information is continued, and the stagnation pattern when the action based on the curriculum information stagnate, and the behavior of the health management subject analyzed by the analysis function
  • Artificial intelligence function to infer the physical information and appearance of future health management subjects based on patterns It is intended to include a generating function for generating a physical information and appearance artificial intelligence function is guessed, the body information and the appearance generated by the generating function and a transmission function for transmitting an image or phrase to the terminal.
  • a plurality of sentence examples to be recommended are automatically generated from the diet (health management subject) of the client (health management subject) and the action pattern.
  • the health management server, the health management server control method, and the health management program according to the present invention can transmit an appropriate sentence example corresponding to the personality of the health manager to the health manager.
  • the health management server, the health management server control method, and the health management program according to the present invention are equipped with artificial intelligence, and estimate the body information and appearance for each behavior pattern of the client, And the appearance can be transmitted to the client terminal as an image or sentence.
  • an appropriate advice message can be transmitted to a terminal held by a client at an appropriate timing.
  • an object of the present invention is to provide a server capable of supporting providing advice with understanding and continuity of use that does not become a burden on a health care target person. By sending written advice messages and future physical information and appearance, it is possible to provide an online health guidance service with understanding and continuity of use.
  • System diagram showing system configuration of health management system Block diagram showing the functional configuration of the health management server Chart showing an example of data stored in the server Flow chart showing an example of the operation of a server with artificial intelligence
  • Schematic diagram showing a display example displayed on the terminal of a health care target person Conceptual diagram showing correction of tasks recommended for health care subjects
  • Schematic diagram showing an example of genetic testing algorithm Schematic diagram showing an example of blood test algorithm
  • FIG. 1 is a system diagram showing a system configuration of a health management system.
  • the health management system includes a health management server 100 and a plurality of user terminals 200 and 300.
  • the health management server 100 is connected to the user terminal 200 and the user terminal 300 via the network 400.
  • FIG. 1 only two user terminals are shown for ease of explanation, but it goes without saying that there may be more user terminals.
  • specific devices of both the user terminal 200 and the user terminal 300 are not limited to a mobile terminal and a personal computer (PC) as illustrated, and may be, for example, a smartphone, a tablet terminal, or other electronic devices. Good.
  • the user terminal 200 indicates a terminal held by a health care target person
  • the user terminal 300 indicates a terminal held by an expert. Then, the meal taken by the health management subject himself / herself is photographed, and the photographed meal image is transmitted from the user terminal 200 to the health management server 100.
  • the health management server 100 analyzes the behavior pattern of the health management target person based on the number of times the meal image is received, and estimates the future physical information and appearance of the health management target person based on the analysis result. To do. Then, the physical information and the appearance are displayed and output on the user terminal 300. The health management server 100 generates recommended images and sentence examples to be transmitted to the health care target person from the displayed physical information and appearance. The generation unit 140 executes generation of recommended images and sentence examples.
  • the health management server 100 is instructed for health management by transmitting the advice message generated by the health management server 100, the warning, and the sentence example as the evaluation to the user terminal 200.
  • indication may be performed for every health management object person, and a health care object person may be grouped and you may instruct
  • grouping refers to grouping for performing group guidance for a plurality of health care subjects.
  • the sentence examples correspond to advice messages, warnings, evaluations, various recommended tasks, and postings and questions of health management subjects generated by the health management server 100 based on the analysis result of the behavior pattern.
  • the image includes a data table relating to physical information, the appearance of the health care target person, an activity history data table, analysis result data, and the health management server 100 along with an advice message, Or illustrations sent separately.
  • FIG. 2 is a block diagram illustrating functional configurations of the server 100, the user terminal 200, and the user terminal 300.
  • the server 100 includes a receiving unit 110, a receiving unit 120, a storage unit 130, an analysis unit 140, an artificial intelligence unit 150, a generation unit 160, and a transmission unit 170.
  • the receiving unit 110 receives one curriculum information selected by the health care target person from among a plurality of health care curriculum information from a terminal (user terminal 200) held by the health care target person.
  • the receiving unit 110 also receives meal images and body information transmitted from the user terminal 200 via the network 400.
  • a sentence example such as an illustration image, an advice message, a warning, or an evaluation is transmitted from the user terminal 300
  • the illustration image, the sentence example, and the evaluation are received.
  • Communication in these transmission / reception may be either wired or wireless, and any communication protocol may be used as long as mutual communication can be performed.
  • the reception unit 120 has a function of receiving illustration images, sentence examples, and evaluations generated by the health management server 100 as items to be transmitted to the user terminal 200 or the user terminal 300.
  • the illustration image, the sentence example, and the evaluation may be plural or singular.
  • the reception unit 120 has a function of receiving one health management curriculum information selected by the health management target person received by the reception unit 110.
  • the health management curriculum information may be configured to be selected by the health management server 100 based on the physical information and activity history information of the health management target person described later.
  • the storage unit 130 stores the behavior pattern of the health management subject along with the health management curriculum information.
  • the storage unit 130 stores sentence example information including a plurality of sentence examples.
  • the storage unit 130 stores image information including a plurality of images.
  • the storage unit 130 is typically realized by various recording media such as an HDD (Hard Disk Drive), an SSD (Solid State Drive), and a flash memory.
  • the analysis unit 140 uses the behavior pattern stored in the storage unit 130 as the continuation pattern when the behavior based on the health management curriculum information is continued and the stagnation pattern when the behavior based on the health management curriculum information is stagnant. And analyze. For example, the analysis unit 140 analyzes each pattern in consideration of the activity history information of the health management service of the health management target person accompanying the health management curriculum information. Count the number of uses for a certain period, calculate the ratio of the number of times the health care target person used (accessed) the health care service for a certain period, determine the usage frequency, and if it is above a certain percentage, continue pattern Analyzes that The image information and sentence example information transmitted from the user terminal 200 received by the receiving unit 120 is transmitted to the analysis unit 140 via the storage unit 130. Accordingly, the analysis unit 140 calculates the ratio of the number of times that the health management target person has used the health management service in a certain period.
  • the ratio of the number of times the health management target person used the health management service is, for example, the number of chats, the number of inquiries to experts, the purchase history of health foods such as supplements, health appliances, training machines, login times, advertisements / information You may judge by the click rate (CTR) etc. to a website.
  • CTR click rate
  • the artificial intelligence unit 150 estimates the physical information and the appearance of the health management subject predicted in the future based on the behavior pattern of the health management subject analyzed by the analysis unit 140.
  • the body information and the appearance are estimated based on the body information input in advance by the health management subject and the analyzed behavior pattern.
  • the physical information of the subject of health management refers to information about the body from both the subjective and objective aspects of the subject of health management, including medical / test data and biological information / life log information.
  • Medical / laboratory data is related to medical / testing such as genetic information, blood test results, medical examination data (including height, weight, sex, age, etc.), lifestyle data, calorie intake per day, family history, and receipt data. The data that you want to do.
  • the biological information / life log information refers to information related to the living body and life cycle, such as heart rate / pulse, blood pressure, number of steps / activity, meal time / content, sleep / sleep time, physical condition / mood.
  • the artificial intelligence unit 150 calculates a prediction of the implementation effect of the health care curriculum for the health care target person based on the physical information transmitted in advance from the health care target person and the behavior pattern analyzed by the analysis part 140. Based on the current physical information, when the behavior pattern analyzed by the analysis unit 140 is continuously performed for a certain period, the predicted physical information and appearance are estimated in the future.
  • the storage unit 130 is configured to include medical / examination data and biometric information / life log transmitted from the user terminal 200 to the health management server 100 when the health management target person inputs. Body information is stored. As the physical information, both current and estimated physical information are accumulated. The stored data is configured so that the health care target person and the expert can display the data on the display units 180 and 190 at any time for browsing. Thereby, the expert can send a more appropriate advice message and warning to the health care target person based on the past, present, and future accumulated data. The storage unit 130 also stores the activity history information of the above-described health care target person.
  • the generation unit 160 generates the body information and the appearance estimated by the artificial intelligence unit 150 as an image or a sentence example.
  • the artificial intelligence unit 150 can also generate the physical information and the appearance as images and sentence examples.
  • the exercise information accompanying the body information and the action pattern is displayed in a graph, accumulated, or the analysis result of the action pattern analyzed by the analysis unit 140 is displayed and output.
  • the information is edited and added to the user terminal 200 by adding comparison information with rivals, which will be described later, or adding advice messages, warnings and evaluations based on physical information and appearance information estimated by the artificial intelligence unit 150. Generate offer data to send.
  • the health management server 100 may have a function of calculating the usage frequency of the advice message and warning as the above sentence example. Further, the health management server 100 may be configured to calculate the use frequency of images (illustrations and the like). The calculation is performed by a calculation unit (not shown). The calculation unit may be provided in the analysis unit 140 or may be provided separately in the health management server 100. Specifically, the calculation unit counts up using the generation of an image or sentence example recommended by the health management server 100 as a trigger.
  • the calculation unit may calculate the frequency of activity history of the health management service. Specifically, the calculation unit counts up with the information indicating the activity history of the health management subject being received by the reception unit 110 as a trigger.
  • calculation unit may count up the use frequency for each health care curriculum of the health care target person and reset it when the curriculum is completed.
  • the transmission unit 170 transmits the body information and the appearance generated by the generation unit 160 to the user terminal 300 as image information or sentence example information.
  • the transmitting unit 170 transmits image information or sentence example information as provided data to the user terminal 300, and also transmits the provided data to the user terminal 200 so that a health care target person can view it.
  • the health management target person can see the results of his / her health activities, evaluations by specialists such as doctors, comparisons with rivals, and the like, and has the effect of confirming the results of his / her health activities.
  • the health management target person can increase the motivation of the exercise behavior.
  • the user terminal 300 includes a display unit 180.
  • the display unit 180 communicates with the health management server 100 via the network 400 and receives image information transmitted from the user terminal 200 of the health management target person received from the health management server 100, a plurality of sentence examples, and a health management target.
  • the activity history information of the user and the past usage history information of the sentence examples are displayed and output.
  • the display unit 180 displays and outputs the physical information and the appearance of the health management subject predicted in the future as an image.
  • you may comprise so that the physical information and the appearance which are predicted in the future of a health care object person may be displayed and output as a sentence example.
  • the user terminal 200 is also provided with a display unit 190, and the display unit 190 is configured to display and output image information or sentence example information transmitted from the health management server 100.
  • the display unit 190 may be configured to display and output advice messages, warnings, and evaluations from the user terminal 300 via the health management server 100.
  • the display unit 190 displays and outputs information related to the comparison target person when the health management target person is grouped and the comparison target person is determined. Specifically, the display is output such as “Mr. XX is the current rival”.
  • the display unit 190 identifies an image (illustration, etc.) and a sentence example (advice message, warning, evaluation, etc.) transmitted to the comparison subject within a predetermined time together with the display output of the comparison subject.
  • an image and the sentence example are displayed and output, information on the specified sentence example is displayed and output.
  • a message such as “Sent to rival XX” is displayed and output directly under the target sentence.
  • the information may be transmitted from the health management server 100 to the user terminal 200 and the user terminal 300, or the user terminal 300 may be configured to transmit to the user terminal 200 synchronously or asynchronously. .
  • FIG. 4 is a flowchart showing an example of the operation of the health management server 100.
  • the receiving unit 110 receives the health management curriculum information sent from the user terminal 200 of the health management target person as image information or sentence example information (step S11).
  • the receiving unit 110 transmits the received image information or sentence example information to the receiving unit 120.
  • the accepting unit 120 accepts the curriculum information of one health management selected by the health care target person received by the receiving unit 110 (step S12).
  • the reception unit 120 transmits the curriculum information to the analysis unit 140. If the result of the health management curriculum is unsatisfactory or if it is preferable to change the curriculum based on physical information or activity history information, the health management server 100 or a specialist may select the curriculum.
  • the analysis unit 140 analyzes the behavior pattern of the health management target person associated with the curriculum information (step S13). The analysis is performed based on activity history information of health management services by health management subjects.
  • the artificial intelligence unit 150 estimates the body information and the appearance of the health management target person predicted in the future based on the physical information of the health management target person transmitted from the user terminal 200 and the behavior pattern analyzed by the analysis unit 140. (Step S14). The artificial intelligence unit 150 transmits to the generation unit 160 the body information and the appearance information of the health management subject predicted in the future.
  • the generation unit 160 determines whether the health management target person is grouped, and when the group is grouped (YES in Step S15), the group that transmits the same, similar, or opposite sentence examples within a predetermined time.
  • the other health management target person is determined as a comparison target person as a rival or a target person, and information on the determined comparison target person is displayed and output on the display unit 190 (step S16).
  • a sentence example transmitted within a predetermined time to a rival person among the comparison target persons is specified, and information on the specified sentence example is displayed and output on the display unit 190 (step S17). This information is also transmitted to the user terminal 300 and displayed on the display unit 180.
  • the generation unit 160 further generates an image and a sentence to be recommended based on the estimated physical information and appearance information of the health management target person to be transmitted to the specialist and the health management target (step S18).
  • the generation unit 160 may be configured to generate either the image or the sentence example.
  • the accepting unit 170 accepts the generated body information, the image as the appearance, and the sentence example as to be transmitted to the specialist and the health management server 100 (step S19).
  • the transmitting unit 170 transmits an image and a sentence example as a physical information appearance of a health care target person predicted in the future to the user terminal 200 and the user terminal 300 as to be transmitted (step S20).
  • the transmission unit 170 may be configured to transmit either the image or the sentence example to the transmission user terminal 200 and the user terminal 300.
  • image information, sentence example information, or the like is transmitted from the transmission unit 170 to the user terminal 300, the expert supplements the sentence example with an advice message or warning, and transmits the advice message or warning to the user terminal 200 via the health management server 100.
  • You may comprise as follows. The above is the description of an example of the operation of the health management server 100 including the artificial intelligence unit 150.
  • FIG. 5 is a conceptual diagram showing an example of the physical information and appearance of a future health care target person displayed on the user terminal 200.
  • the future health manager's appearance and body information estimated by the artificial intelligence unit 150 is displayed on the display unit 190.
  • the current and future appearance and physical information are also displayed on the display unit 180 of the user terminal 300.
  • the health management server 100 generates an advice message or warning as a sentence example together with the current and future appearance and physical information, or transmits the advice message to the user terminal 200 and the user terminal 300, thereby providing a health management target person.
  • Guidance for health management As the body information, for example, weight, blood test information, chest circumference, BMI index, and the like are displayed.
  • the expert selects an appropriate advice message from a plurality of sentence examples generated by the health management server 100 based on the appearance and physical information, and transmits the advice message to the user terminal 200, so that the health management target person can receive health management. It may be configured to provide guidance for. Considering postings such as behavior patterns based on activity history, disturbance in eating habits derived from image information, lack of sleep transmitted from user terminal 200, stress, etc. Then, the health management target person is instructed for health management. For example, “Mr. XX is diagnosed with metabolic syndrome (visceral fat syndrome) if the situation continues, and there is a risk of developing lifestyle-related diseases such as diabetes, hyperlipidemia, and hypertension in the future. By sending a warning message such as “health management subjects can be motivated to exercise.
  • metabolic syndrome visceral fat syndrome
  • the health management curriculum will follow the guidance of experts.
  • the advice message is transmitted to the user terminal 200, so that the health management subject can be motivated to exercise.
  • the artificial intelligence unit 150 can estimate future physical information and appearance when the health management curriculum is executed as instructed, and can transmit the physical information and appearance together with an advice message. Thereby, the motivation of the exercise behavior of the health management subject can be further enhanced.
  • the health management curriculum selected by the health care target person is judged to be inappropriate from the current physical information of the health care target person, and evaluated, the current physical information output from the storage unit 130 is used.
  • the body information and appearance recommended by the artificial intelligence unit 150 are estimated, and a health care curriculum is transmitted to the user terminal 200.
  • This determination and evaluation is executed by the analysis unit 140. Accordingly, it is possible to select an appropriate health management curriculum from the current physical information of the health management target person without depending on the intention of the health management target person.
  • the new health management curriculum may be transmitted to the user terminal 200 by the health management server 100, or an expert may be configured to transmit from the user terminal 300 to the user terminal 200.
  • the analysis unit 140 can statistically analyze a high level pattern having a higher level of behavior than the stagnation pattern in which the behavior based on the curriculum information of health management is stagnant. Then, when it is assumed that the health management target person has performed a high-level pattern, the artificial intelligence unit 150 can also estimate the body information and the appearance of the health management target person predicted in the future. Whether or not the behavior pattern is a stagnation pattern or a high-level pattern is analyzed using, for example, the ratio of the usage frequency associated with the activity history of the health care service. If the ratio is above a certain threshold, it is analyzed as a high-level pattern. Moreover, you may include on condition that a high level pattern is a continuation pattern. This analysis is performed by the analysis unit 140.
  • the body information and the appearance predicted in the future when the behavior of the high level pattern is performed are transmitted to the user terminal 200, so that It is possible to promote the behavior of the standard pattern. Further, the level of the behavior pattern can be determined based on the use frequency. This determination is performed by the analysis unit 140.
  • the health management target person can recognize the physical information and the appearance that are predicted in the future when the current action pattern (hereinafter referred to as “current pattern”) is continuously executed.
  • the estimation of the body information and the appearance predicted in the future is executed by the artificial intelligence unit 150, and the contents are transmitted to the user terminal 200.
  • the information is also transmitted to the user terminal 300.
  • Images and sentence examples generated based on past action patterns are stored in the storage unit 130, and based on the accumulated data, statistical analysis of images and sentence examples generated in the past for similar action patterns is executed by the analysis unit 140. You may comprise. Alternatively, past accumulated data is fed back to the artificial intelligence unit 150 from the storage unit 130 via the analysis unit 140 or directly from the storage unit 130, and the artificial intelligence unit having a learning function based on these accumulated data 150 may be configured to generate appropriate images and sentence examples.
  • the artificial intelligence unit 150 can estimate the personality of the health care target person based on the past action pattern output from the storage unit 130.
  • the health management server 100 can infer the personality of the health care manager from not only the questionnaire result of the health care manager but also the behavior pattern associated with the activity history when the health management service is used.
  • the estimated data is stored together with the questionnaire result in a personality database (hereinafter referred to as “DB”) provided in the storage unit 130.
  • DB personality database
  • the storage unit 130 stores the physical information and activity history information of the above-described health care target person in the personal DB.
  • the recommended task effective for the diet and lifestyle activities performed by the health management server 100 or the health management target selected by the specialist may not necessarily be an effective task due to the nature of the health manager. Therefore, the personality of the person in charge of health management is analyzed, and the appropriateness of the recommended task is determined by comparing the personality with the recommended task selected by the health management server 100 or the expert. This analysis and determination is performed by the analysis unit 140. Then, as shown in FIG. 6, the recommended task is corrected, and a new recommended task is regenerated by the generation unit 160.
  • the personality DB and personal DB may be processed as one DB.
  • the plurality of regenerated recommended tasks may be corrected by the artificial intelligence unit 150 so as to change the weight for each health care target person.
  • the weight may be corrected such that the stretch is from the second priority to the first priority, and the meal restriction is from the fourth priority to the second priority.
  • the health manager in charge may be configured to determine whether or not the health manager in charge performs an action based on the sentence example (including recommended tasks) generated by the generation unit 160. This determination is performed by the analysis unit 140. Then, the analysis unit 140 may be configured to output the determination result to the artificial intelligence unit 150 for feedback. By feeding back to the artificial intelligence unit 150, the subsequent analysis and determination can be performed by the artificial intelligence unit 150 based on the past analysis and determination results. The determination is performed, for example, by analyzing an action pattern associated with the activity history of the health management target person and physical information and appearance transmitted to the health management server 100 as an intermediate report. Note that the personality of the health care target person may also be considered as a criterion for determination.
  • the health management server 100 determines whether the analysis performed by the analysis unit 140 or the artificial intelligence unit 150, analysis, or generated images (such as illustrations) and sentence examples (such as advice messages, warnings, recommended tasks, etc.) A message can be received that the self-evaluation is below the person in charge.
  • the health management server 100 can regenerate an image and sentence example that should be recommended to a specialist, and can transmit the more appropriate image and sentence example to the user terminal 200 of the health care target person.
  • This instruction is displayed and output from the health management server 100 to the display unit 180 of the user terminal 300.
  • the expert may be configured to transmit images and sentence examples to be recommended from the user terminal 300 to the user terminal 200 via the health management server 100.
  • communication between the specialist and the health management target person can be promoted, a trust relationship is created, and the motivation to execute the health management curriculum for the health management target person can be improved.
  • the health management server 100 performs a cross analysis based on the lifestyle questionnaire result (lifestyle data) of the health management target person and the genetic test result of the health management target person. Can standardize and improve the efficiency of creating reports for guidance on improving habits, eating habits or exercise habits.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts concerns about the health of the health management target person and characteristics of the lifestyle from the results of the lifestyle data of the health management target person, and extracts the extracted content and the health management target person.
  • the results of genetic testing are stored in various databases (hereinafter referred to as “DB”) in the storage unit 130, and the stored data is filtered and scored to perform a cross analysis, and a report is obtained from the analysis results.
  • DB databases
  • the health management server 100 performs a cross analysis based on the results of the lifestyle data of the health management subject and the blood test results of the health management subject to determine the habits to be improved. Can standardize and improve the efficiency of reporting for guidance on improving and continuing habits to continue.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts the lifestyle related to the blood of the health management target person from the result of the lifestyle data of the health management target person, and the extracted contents and the blood test of the health management target person
  • the results are stored in various DBs, the stored data is filtered and scored, cross analysis is performed, and reports are automatically created from the analysis results, thereby standardizing and improving the efficiency of the creation. Can be planned.
  • the health management server 100 includes the activity history (hereinafter, referred to as “log”) of the health management subject performed in the past, the results of lifestyle data, genetic test results, blood test results.
  • log activity history
  • Cross-analysis based on the content, and distribution of content aimed at providing tasks, training and fitness videos, ideal meals, health knowledge effective for diet and lifestyle activities performed by health care subjects it can.
  • the cross analysis is performed by the analysis unit 140.
  • the health management server 100 extracts behavioral changes and concerns of the health management target person from the log, the results of the lifestyle data and the lifestyle questionnaire result of the health management target person, By storing the results of the genetic test and blood test of the management subject in various DBs, filtering and scoring the stored data, cross analysis can be performed, and content distribution can be performed from the analysis result.
  • cross analysis is not limited to the case where it is performed based on the results of log and lifestyle data, genetic test results, and blood test results.
  • cross analysis may be performed in consideration of information such as medical examination data, family history, meal time / content, sleep / sleep time, and the like.
  • cross analysis may be performed by selecting some of these pieces of information.
  • the health guidance service is taken up as a service according to the present invention
  • the present invention can be used in businesses other than the business.
  • businesses that use people's psychology or spiritual actions for example, businesses that give advice to increase people's motivation), welfare (for example, when a specialist remotely advises the welfare of a local community) ), Can be used in business such as education.
  • a mobile terminal or a PC is used as a terminal applied to the service according to the present invention
  • the present invention is not limited to this. For example, you may comprise so that a wearable terminal may be utilized. Since the health care target person can wear it and carry it, it has the convenience that the service can be used anytime and anywhere.
  • the health management server 100 including the artificial intelligence unit 150 automatically selects an appropriate sentence example has been described as a service according to the present invention
  • the present invention is not limited to this.
  • the health management server 100 selects an illustration to be used as a reference when sending an answer to a question, an advice message, etc. from a plurality of illustrations, and transmits it to the user terminal 300 owned by an expert. May be. Then, based on the selected illustration, the expert may extract a sentence example that should be recommended to the health care target person from the correspondence between the illustration stored in advance and the sentence example.
  • Health management server 110 reception unit 120 reception unit 130 storage unit 140 analysis unit 150 artificial intelligence unit 160 generation unit 170 transmission unit 180, 190 display unit 200 user terminal (health management target person) 300 User terminal (expert) 400 network

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Epidemiology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • Radiology & Medical Imaging (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Business, Economics & Management (AREA)
  • General Business, Economics & Management (AREA)
  • Medical Treatment And Welfare Office Work (AREA)

Abstract

L'invention concerne un serveur de gestion de santé qui permet de générer des messages de conseil appropriés à partir de l'état de santé et des repas d'un sujet de gestion de santé, et qui permet d'améliorer la motivation à exécuter un programme de gestion de la santé. Ce serveur de gestion de santé est connecté par le biais d'un réseau à un terminal appartenant à un sujet de gestion de santé, et comprend : une unité de réception qui reçoit, du terminal, un élément d'informations de programme sélectionné par le sujet de gestion de santé ; une unité de stockage permettant de stocker les motifs de comportement du sujet de gestion de santé ; une unité d'analyse permettant d'analyser les motifs de continuation lorsque le comportement basé sur les informations du programme se poursuit, et les motifs de stagnation lorsque le comportement basé sur les informations du programme stagne ; une unité d'intelligence artificielle qui estime les futures informations corporelles prédites et l'aspect du sujet de gestion de santé ; une unité de génération qui génère les informations corporelles et l'aspect ; et une unité de transmission qui transmet les informations corporelles et l'aspect du terminal en tant qu'informations de phrases d'exemples ou informations d'images.
PCT/JP2015/071804 2015-07-31 2015-07-31 Serveur de gestion de santé, procédé de commande de serveur de gestion de santé et programme de gestion de santé WO2017022013A1 (fr)

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JP2016555796A JP6244476B2 (ja) 2015-07-31 2015-07-31 健康管理サーバおよび健康管理サーバ制御方法並びに健康管理プログラム
PCT/JP2015/071804 WO2017022013A1 (fr) 2015-07-31 2015-07-31 Serveur de gestion de santé, procédé de commande de serveur de gestion de santé et programme de gestion de santé

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JP2018195198A (ja) * 2017-05-19 2018-12-06 ヤフー株式会社 提供装置、提供方法及び提供プログラム
JP2019191696A (ja) * 2018-04-19 2019-10-31 株式会社ディースピリット 評価装置、及び評価システム
WO2020246946A1 (fr) * 2019-10-31 2020-12-10 Kutub Abdurrahman Muhammed Système de gestion de l'expérience de patients
WO2021065845A1 (fr) * 2019-09-30 2021-04-08 国立大学法人大阪大学 Système d'intervention de style de vie, procédé d'intervention de style de vie et programme
WO2022091411A1 (fr) * 2020-11-02 2022-05-05 日本電信電話株式会社 Dispositif de génération de messages, procédé de génération de messages, et programme
JP2022151045A (ja) * 2021-03-26 2022-10-07 株式会社日立製作所 介入システム、介入方法、および、介入プログラム
WO2022254625A1 (fr) * 2021-06-02 2022-12-08 日本電信電話株式会社 Dispositif de prédiction, dispositif d'apprentissage, procédé de prédiction, procédé d'apprentissage et programme

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JP2018195198A (ja) * 2017-05-19 2018-12-06 ヤフー株式会社 提供装置、提供方法及び提供プログラム
JP2019191696A (ja) * 2018-04-19 2019-10-31 株式会社ディースピリット 評価装置、及び評価システム
WO2021065845A1 (fr) * 2019-09-30 2021-04-08 国立大学法人大阪大学 Système d'intervention de style de vie, procédé d'intervention de style de vie et programme
WO2020246946A1 (fr) * 2019-10-31 2020-12-10 Kutub Abdurrahman Muhammed Système de gestion de l'expérience de patients
WO2022091411A1 (fr) * 2020-11-02 2022-05-05 日本電信電話株式会社 Dispositif de génération de messages, procédé de génération de messages, et programme
JP2022151045A (ja) * 2021-03-26 2022-10-07 株式会社日立製作所 介入システム、介入方法、および、介入プログラム
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WO2022254625A1 (fr) * 2021-06-02 2022-12-08 日本電信電話株式会社 Dispositif de prédiction, dispositif d'apprentissage, procédé de prédiction, procédé d'apprentissage et programme

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