Information processing apparatus, information processing method, and information processing program

Abstract

To allow a user to obtain correct health information.SOLUTION: An information processing server 10 includes: a health information collection unit 131 which collects health information for which transmission is requested; a determination unit 132 which determines reliability of each health information using a determination model 133; and a distribution unit 134 which distributes health information with reliability according to a predetermined community, to a user terminal used by a user in the predetermined community.SELECTED DRAWING: Figure 2

Description

[Technical Field]

[0001] The present invention relates to an information processing device, an information processing method, and an information processing program. [Background technology]

[0002] For example, health information processing systems that support users' health, such as systems that unify the implementation, analysis, and utilization of health checkups, are available (Non-Patent Document 1). Users refer to the data unified by such health information processing systems to understand their current health status. Users may then obtain health-related information (health information) by searching online, etc., in an attempt to understand and improve their health status. [Prior art documents] [Non-patent literature]

[0003] [Non-Patent Document 1] NTT Technocross, “HM-neo”, [Retrieved October 2, 2023], Internet<URL:https: / / www.n-healthcare.jp / check / > Summary of the Invention [Problem to be solved by the invention]

[0004] However, with the abundance of information available on the network, users often have difficulty identifying correct health information, which has led to a demand for accurate health information.

[0005] The present invention has been made in view of the above, and has an object to provide an information processing device, an information processing method, and an information processing program that enable a user to obtain correct health information. [Means for solving the problem]

[0006] In order to solve the above-mentioned problems and achieve the objectives, the information processing device of the present invention is characterized by having a collection unit that collects health information that is the subject of a trust request, a first judgment unit that judges the reliability of each health information using a judgment model, and a distribution unit that distributes health information with a reliability level corresponding to a specified community to user terminals used by users of the specified community. [Effects of the Invention]

[0007] According to the present invention, a user can obtain correct health information. [Brief explanation of the drawings]

[0008] [Figure 1] FIG. 1 is a block diagram illustrating an example of a configuration of an information processing system according to an embodiment. [Figure 2] FIG. 2 is a block diagram illustrating an example of the configuration of the information processing server illustrated in FIG. [Figure 3] FIG. 3 is a diagram illustrating an example of a data configuration of the user information illustrated in FIG. [Figure 4] FIG. 4 is a diagram showing an example of the data configuration of the recommendation information shown in FIG. [Figure 5] FIG. 5 is a diagram illustrating learning of the determination model shown in FIG. [Figure 6] FIG. 6 is a diagram showing an example of a screen of a user terminal used by a user. [Figure 7] FIG. 7 is a diagram showing an example of a screen of a user terminal used by a user. [Figure 8] FIG. 8 is a sequence diagram showing the processing procedure of the health information provision processing according to the embodiment. [Figure 9] FIG. 9 is a sequence diagram showing the procedure of the recommendation process according to the embodiment. [Figure 10] FIG. 10 is a diagram illustrating an example of a computer that implements an information processing server by executing a program. DETAILED DESCRIPTION OF THE INVENTION

[0009] Hereinafter, an embodiment of the present invention will be described in detail with reference to the drawings. Note that the present invention is not limited to this embodiment. In addition, in the description of the drawings, the same parts are designated by the same reference numerals.

[0010] [Embodiment Mode] In an embodiment, when health information is input, the reliability of the health information is evaluated using a judgment model, and the health information with the highest reliability is delivered to the user terminals of users belonging to a specified community, thereby helping users obtain correct health information.

[0011] [Information Processing Systems] FIG. 1 is a block diagram illustrating an example of a configuration of an information processing system according to an embodiment.

[0012] As shown in FIG. 1, an information processing system 100 according to the embodiment includes an information processing server 10 and terminals belonging to communities A and B (predetermined communities).

[0013] For example, in community A, an administrator terminal 20-AM and user terminals 20-A1 and 20-A2, which are capable of communicating with the information processing server 10, are used. The administrator terminal 20-AM is a terminal device used by an administrator who manages the health conditions of users of community A. The user terminal 20-A1 is a terminal device used by user A1 who belongs to community A. The user terminal 20-A2 is a terminal device used by user A2 who belongs to community A. This community A is set in advance to distribute health information with the highest reliability, for example.

[0014] Community B uses an administrator terminal 20-BM, which is capable of communicating with the information processing server 10, and a user terminal 20-B1 and a user terminal 20-B2 of a user B1 who belongs to community B. The administrator terminal 20-BM is a terminal device used by an administrator who manages the health status of users in community B. The user terminal 20-B1 is a terminal device used by a user B1 who belongs to community B. The user terminal 20-B2 is a terminal device used by a user B2 who belongs to community B. This community B is pre-configured to distribute health information with a standard reliability when the reliability is set to high, standard, or low. When the user terminals are collectively referred to, they will be referred to as user terminal 20.

[0015] The user terminal 20 may, for example, connect to a wearable device worn by the user of the user terminal 20 via an application for acquiring vital data, and transmit the time-series vital data measured by the wearable device and the user's number of steps to the information processing server 10.

[0016] The information processing server 10 communicates with various external servers 30-1 and 30-2 via a network 40. When the external servers are collectively referred to, they will be referred to as external servers 30.

[0017] The information processing server 10 collects health information from an external server 30 and evaluates the reliability of the collected health information. The information processing server 10 distributes health information with a reliability according to a predetermined community to user terminals 20 used by users of the predetermined community.

[0018] For example, information processing server 10 distributes health information with the highest reliability to user terminals 20-A1 and 20-A2 in community A. User terminals 20-A1 and 20-A2 output the distributed health information. For example, information processing server 10 distributes health information with a standard reliability to user terminals 20-B1 and 20-B2 in community B. User terminals 20-B1 and 20-B2 output the distributed health information.

[0019] The information processing server 10 transmits recommendation information recommending actions to improve health to user terminals 20 used by users of a predetermined community. Furthermore, the information processing server 10 acquires information on whether or not the user has performed the recommended actions. The information processing server 10 then determines the user's health based on the acquired information and the user's attributes, medical history, hobbies, health check results, and / or vital data and the user's number of steps, and transmits the determination result to the administrator terminal of the community to which the user belongs.

[0020] The information processing server 10 communicates with the administrator terminals 20-AM, 20-BM and the user terminal 20 via, for example, a health information distribution application. The health information distribution application is downloaded to the administrator terminals 20-AM, 20-BM and the user terminal 20, and when the health information distribution application is launched, various types of health information, recommended information, etc. are received from the information processing server 10 and output. In addition, the user terminal 20 transmits information indicating whether or not the user has performed the recommended behavior to the information processing server 10 via the health information distribution application.

[0021] [Information processing server] Next, the information processing server 10 shown in Fig. 2 will be described. Fig. 2 is a block diagram showing an example of the configuration of the information processing server 10 shown in Fig. 1. As shown in Fig. 2, the information processing server 10 has, for example, a communication unit 11, a storage unit 12, and a control unit 13. Note that input devices such as a mouse and a keyboard, and output devices such as a display and a speaker may be connected to the information processing server 10.

[0022] The communication unit 11 controls communications related to various types of information. For example, the communication unit 11 controls communications between the administrator terminals 20-AM, 20-BM and the user terminal 20, and communications with the external server 30. The communication unit 11 receives various types of health information from the external server 30 and outputs it to the control unit 13. The communication unit 11 communicates with the administrator terminals 20-AM, 20-BM and the user terminal 20, transmits health information and / or recommended information, and receives information indicating whether or not a recommended action has been performed.

[0023] The storage unit 12 stores data and programs necessary for various processes by the control unit 13. For example, the storage unit 12 may be a semiconductor memory element such as a random access memory (RAM) or a flash memory, or a storage device such as a hard disk or an optical disk. For example, the storage unit 12 has user information 121, health information 122, and recommendation information 123.

[0024] The user information 121 includes various information related to the users of the administrator terminals 20-AM and 20-BM and the user terminal 20.

[0025] Fig. 3 is a diagram showing an example of the data configuration of the user information 121 shown in Fig. 2. As shown in Fig. 3, the user information 121 includes items such as identification information of the community to which the user belongs, the reliability of health information distributed to the community to which the user belongs, the user ID, the user's gender, age, occupation, and hobbies. Information on these items is registered by the user, for example, when a health information distribution application is downloaded to the user terminal 20. Furthermore, if the information processing server 10 can refer to the user's medical history and health checkup results (hereinafter, health checkup data) from a management server (not shown) that manages the health management information of each user, that data or reference data is registered in the user information 121.

[0026] For example, user information 121 registers the following for user "A1" of community A, which receives the most reliable health information: gender "female," age "68," occupation "unemployed," hobby "handicrafts," medical history data "D-A1," and health check data "E-A1."

[0027] Health information 122 includes various types of health information collected by information processing server 10 from external server 30. Each piece of health information 122 is associated with a determination result on reliability by determination unit 132 (described later).

[0028] The recommendation information 123 includes information on various actions that are recommended to the user to improve their health. FIG. 4 is a diagram showing an example of the data configuration of the recommendation information 123 shown in FIG. 2. As shown in FIG. 4, the recommendation information 123 has, for example, gender, age, and recommended actions as items. For example, in the example of FIG. 4, a woman in her 60s is associated with "walking" as a recommended action. The recommendation information 123 may also register actions associated with, for example, health checkups, medical history, the user's hobbies, and the rate at which users with the same attributes perform the action.

[0029] The control unit 13 has an internal memory for storing programs that define various processing procedures and necessary data, and executes various processes using these. Here, the control unit 13 may be, for example, an electronic circuit such as a CPU (Central Processing Unit) or an MPU (Micro Processing Unit), or an integrated circuit such as an ASIC (Application Specific Integrated Circuit) or an FPGA (Field Programmable Gate Array).

[0030] The control unit 13 includes a health information collection unit 131, a determination unit 132 (first determination unit), a distribution unit 134, a recommendation unit 135, and a health level determination unit 136 (second determination unit).

[0031] The health information collection unit 131 collects various types of health information from the external server 30 via the communication unit 11. The health information collection unit 131 collects health information made public on the network. When a transmission request is received from the user terminal 20, the health information that is the subject of the transmission request is collected. For example, when a user performs a search operation related to "fever" on the user terminal 20, the user terminal 20 requests the transmission of health information related to "fever." In this case, the health information collection unit 131 collects health information related to "fever."

[0032] Determination unit 132 determines the reliability of each piece of health information collected by health information collection unit 131 using determination model 133. Determination unit 132 associates each piece of health information with a determination result on reliability and stores the results in memory unit 12.

[0033] Here, the determination unit 132 may provide a pre-processing summary model before the determination model 133. For example, the summary model is a natural language processing model (e.g., a large-scale language model (LLM)) trained using a large amount of text data so as to output a summary of an input sentence. The determination unit 132 may generate a summary of each piece of health information collected by the health information collection unit 131 using the summary model, and input the summary generated by the summary model to the determination model 133.

[0034] The determination model 133 is a machine learning model that, when health information is input, outputs the reliability of the input health information. For example, the determination model 133 determines whether the reliability of the input health information is one of three levels: high, standard, or low, and outputs the determination result. In this case, a prompt is set in the determination model 133 to instruct a task of determining whether the reliability of the input health level is high, standard, or low, and outputting the result in a predetermined format.

[0035] The decision model 133 is a model obtained by fine-tuning a natural language processing model (for example, a large-scale language model (LLM)) trained using a large amount of text data, using training data T1 described below.

[0036] Fig. 5 is a diagram for explaining the learning of the determination model 133 shown in Fig. 2. As shown in Fig. 5, machine learning is performed on the determination model 133 using peer-reviewed papers T11 in the medical field, academic books T12 in the medical field, publications T13 from administrative agencies that have jurisdiction over the medical field, and the contents of national medical examinations as training data T1.

[0037] When a peer-reviewed paper in the medical field T11, an academic book in the medical field T12, a publication from an administrative agency that has jurisdiction over the medical field T13, or the contents of a national medical examination are input into the judgment model 133, the parameter update unit 50 updates the parameters of the judgment model 133 so as to output the highest reliability.

[0038] The judgment model 133 compares the words and contexts contained in peer-reviewed medical papers T11, academic books T12, publications T13 from government agencies with jurisdiction over the medical field, and the contents of national medical examinations with the words and contexts contained in the input health information to determine the reliability of the input health information, for example, as high, standard, or low. Specifically, the judgment model 133 calculates the similarity between the words and contexts contained in the training data T1 and the words and contexts contained in the input health information based on the feature vectors of the training data T1 and the feature vectors of the input health information, and determines the reliability of the input health information based on the calculated similarity. For example, a range of similarity is set corresponding to three levels of reliability of the health information, for example, high, standard, or low.

[0039] The parameter update unit 50 may be provided in the information processing server 10, or may be provided in a device different from the information processing server 10. The determination model 133 whose parameters have been optimized by the parameter update unit 50 is applied to the determination unit 132 of the information processing server 10.

[0040] The distribution unit 134 distributes health information with a reliability level corresponding to a predetermined community to user terminals 20 used by users of the predetermined community. The distribution unit 134 distributes, to the user terminal 20 that issued the transmission request, health information that is the subject of a transmission request and has a reliability level corresponding to the community to which the user of this user terminal 20 belongs.

[0041] For example, distribution unit 134 distributes health information with the highest reliability to user terminal 20-A1 of user A1 and user terminal 20-A2 of user A2 who belong to community A. Distribution unit 134 also distributes health information with standard reliability to user terminal 20-B1 of user B1 and user terminal 20-B2 of user B2 who belong to community B.

[0042] 6 is a diagram showing an example of a screen of the user terminal 20-A1 used by user A1. When user A1 starts a health information distribution application and selects a search menu, for example, a search screen M1 shown in FIG. 6 is displayed on the user terminal 20-A1. In the search field R11 of this search screen M1, user A1 enters the health information he or she wants to search for, "What is a fever?", and presses the search button R12. In this case, a transmission request for the definition of "fever" is transmitted from the user terminal 20-A1 to the information processing server 10.

[0043] In response, the information processing server 10 transmits the most reliable health information among the health information regarding the definition of "fever," "The medical definition of 'fever' is a temperature of 37.5°C or higher," to the user terminal 20-A1. As a result, the answer field R13 of the user terminal 20-A1 displays, "The medical definition of 'fever' is a temperature of 37.5°C or higher." In this way, the user A1 can obtain health information whose reliability is guaranteed.

[0044] The recommendation unit 135 transmits recommendation information recommending actions to improve health to the user terminals 20 used by users of a predetermined community. The recommendation unit 135 transmits recommendation information recommending actions according to the attributes, medical history, hobbies, health checkup data, and / or vital data of the users of the predetermined community.

[0045] The recommendation unit 135, for example, refers to the user information 121 and the recommendation information 123 and transmits recommendation information to the user terminal 20 at a predetermined timing (for example, every morning at 8:00, every Saturday, the end date of an event, etc.). For example, when the recommendation unit 135 can acquire the user's schedule data, the recommendation unit 135 may select an action that matches the outing plan registered in the schedule (for example, leave 15 minutes earlier and walk one station).

[0046] For example, for user A1, the recommendation unit 135 refers to the attributes of user A1 (a 68-year-old woman whose hobby is handicrafts) and acquires an action corresponding to the attributes of user A1 from the recommendation information 123. In the example of Fig. 4, "walking" is associated as an action to be recommended for a woman in her 60s.

[0047] 7 is a diagram showing an example of a screen of the user terminal 20-A1 used by the user A1. For example, the recommendation unit 135 displays information recommending a "walk" such as "Today's recommendation is a walk. Why not take a walk for about 30 minutes?" on the recommendation screen M2 in FIG.

[0048] When the user A1 takes a walk and selects the “Yes” button R21, the user terminal 20-A1 transmits information indicating that the user A1 has taken a walk to the information processing server 10. The user terminal 20-A1 may also transmit to the information processing server 10 the user A1's impressions after taking a walk and the results of a questionnaire after taking the walk.

[0049] The information processing server 10 records the transmitted activity (walk) implementation information of the user A1 in association with the identification information of the user A1. The information processing server 10 accumulates the activity implemented by each user.

[0050] If the user A1 did not take a walk and selected the “No” button R22 on the recommendation screen M2, the user terminal 20-A1 transmits information indicating that the user A1 did not take a walk to the information processing server 10. In this case, the recommendation unit 135 may recommend an action other than a walk that corresponds to the attributes of the user A1.

[0051] The recommendation unit 135 may also generate recommendation information corresponding to each user using a trained recommendation model. In this case, actions that are considered to be good for improving the user's health are collected based on the attribute information (age, sex, occupation, community to which the user belongs), hobbies, medical history, and health check data of a large number of users, survey results of a large number of users, vital data of a large number of users, various community events, and actions that are considered to improve health from a medical perspective (teaching data T1 may be used). Then, when the user's attributes, medical history, hobbies, health check data, and / or vital data are input, the recommendation model learns to output actions that can improve the user's health.

[0052] The health level determination unit 136 acquires information indicating whether or not a user of a specified community has performed an action recommended by the recommendation unit 135, and determines the health level of the user based on the acquired information and the user's attributes, medical history, hobbies, health checkup data, and / or vital data.

[0053] Specifically, the health assessment unit 136 determines whether the user's health has improved, for example, compared to one year ago, based on the accumulated user information, user behavior information, current user attributes, medical history, hobbies, health check data, vital data, and / or number of steps.

[0054] For example, if a user (e.g., user A1) (health level: low) who rarely goes out starts taking a 30-minute walk every day, which reduces heart rate irregularities and improves the numerical values of each health checkup item, health level determination unit 136 determines that user A1's health level has improved to "normal." Note that health level determination unit 136 may also use sensor data from IoT devices installed around town or at user A1's home (sensor data related to user A1's number of steps and travel distance, changes in the amount of food in user A1's refrigerator and freezer, and use of air conditioners), a purchasing history of food and supplies, etc., to evaluate the health level.

[0055] For example, when the subject of assessment is user A1, health assessment unit 136 transmits the assessment result regarding user A1's health as health information to administrator terminal 20-AM of community A to which user A1 belongs. Administrator terminal 20-AM collects and stores the health information of each user belonging to community A from information processing server 10.

[0056] The administrator checks the health information of each user belonging to community A collected by the administrator terminal 20-AM. If the administrator is able to improve the health of each user, the administrator can apply to a government agency for a subsidy for the promotion of elderly health care services, etc., based on this data and the medical expenses of all users belonging to the community. Furthermore, based on the information collected by the administrator terminal 20-AM, the administrator may select and plan an event to be held in community A from, for example, events that are thought to have improved the health of a predetermined number of users, and encourage users to participate in the event. In this case, the information processing server 10 may preferentially recommend the event planned by the administrator to the users of community A.

[0057] [Health information processing] Next, a procedure for health information provision processing according to the embodiment will be described below with reference to Fig. 8, which is a sequence diagram showing the procedure for health information provision processing according to the embodiment.

[0058] When the information processing server 10 receives a transmission request from the user terminal 20 (step S1), it communicates with the external server 30 and collects the health information that is the subject of the transmission request (step S2).

[0059] Information processing server 10 uses determination model 133 to determine the reliability of each piece of health information collected by health information collection unit 131 (step S3).

[0060] Then, the distribution unit 134 selects, from the health information requested for transmission, health information with a reliability corresponding to the community to which the user of the user terminal 20 that made the transmission request belongs (step S4), and transmits the selected health information to the user terminal 20 that made the transmission request (step S5).

[0061] The user terminal 20 outputs the received health information using images and / or sounds (step S6).

[0062] [Recommendation processing] Next, a processing procedure of the recommendation process in the embodiment will be described below. Fig. 9 is a sequence diagram showing the processing procedure of the recommendation process in the embodiment.

[0063] The information processing server 10 determines whether it is a predetermined recommendation timing for the user terminal 20 (for example, the user terminal 20-A1) (step S11). If it is not a predetermined recommendation timing (step S11: No), the information processing server 10 refers to the user information 121 and the recommendation information 123, and returns to step S11.

[0064] If it is the predetermined recommendation timing (step S11: Yes), the information processing server 10, for example, refers to the user information 121 and the recommendation information 123 (step S12), and transmits recommendation information recommending an action corresponding to the attributes of the user A1 to the user terminal 20-A1 (step S13). The information processing server 10 may recommend an action for the user A1 using a trained recommendation model.

[0065] The user terminal 20-A1 outputs the received recommendation information using images and / or sounds (step S14).Then, the user terminal 20-A1 transmits to the information processing server 10 implementation information indicating whether or not the recommended behavior was performed, and health level determination information including the user A1's vital data, number of steps, and impressions after performing the behavior (steps S15 and S16).

[0066] For example, when the information processing server 10 receives a request from the management device 20-AM to determine the health level of user A1, the information processing server 10 determines whether the user's health level has improved compared to a predetermined period of time ago based on the user information of user A1, behavioral information of user A1, current attributes of user A1, medical history, hobbies, health checkup data, vital data, and / or number of steps accumulated up to that point (step S17).The information processing server 10 then transmits information indicating the determined health level (health level information) to the administrator terminal 20-AM (step S18).The administrator terminal 20-AM stores the health level information transmitted from the information processing server 10 (step S19).

[0067] [Effects of the embodiment] In this way, the information processing server 10 according to the embodiment collects health information that is the subject of a transmission request, and determines the reliability of each piece of health information using the trained determination model 133. Then, the information processing server 10 delivers health information with a reliability according to a predetermined community to user terminals 20 used by users of the predetermined community.

[0068] Therefore, users who belong to this community can appropriately obtain health information whose reliability has been determined and whose reliability is appropriate for the community. In particular, if a user belongs to a community to which only health information with the highest reliability is distributed, the user can obtain only correct health information without having to verify the authenticity of the health information themselves, which can be useful for improving their own health.

[0069] The determination model 133 is a machine learning model that has been trained using peer-reviewed papers in the medical field, academic books in the medical field, the contents of national medical examinations, and publications from administrative agencies that have jurisdiction over the medical field. By using this determination model 133, the information processing server 10 can appropriately evaluate the reliability of health information.

[0070] The information processing server 10 also transmits recommendation information recommending actions to improve health to user terminals used by users of a predetermined community. At this time, the information processing server recommends actions based on the attributes, medical history, hobbies, health checkup data, and / or vital data of the users of the predetermined community. Therefore, users can improve their own health without having to think about the exercise they should do, simply by carrying out the recommended actions.

[0071] The information processing server 10 also acquires information indicating whether the recommended behavior has been performed, and determines the user's health level based on the acquired information and the user's attributes, medical history, hobbies, medical checkup data, and / or vital data. By accumulating the user's health level information thus determined by the information processing server 10, the administrator of each community can grasp the health levels of users belonging to the community. Based on the accumulated health level information, the administrator can smoothly apply to administrative agencies for grants such as subsidies for promoting elderly health care programs, select events to hold, and so on.

[0072] [System configuration of the embodiment] The information processing server 10 is a functional concept and does not necessarily have to be physically configured as shown in the figure. In other words, the specific form of distribution and integration of the functions of the information processing server 10 is not limited to that shown in the figure, and all or part of it can be functionally or physically distributed or integrated in any unit depending on various loads, usage conditions, etc.

[0073] Furthermore, all or any part of the processes performed in the information processing server 10 may be realized by a CPU, a GPU (Graphics Processing Unit), and a program analyzed and executed by the CPU and the GPU. Furthermore, each process performed in the information processing server 10 may be realized as hardware using wired logic.

[0074] Furthermore, among the processes described in the embodiments, all or part of the processes described as being performed automatically can be performed manually. Alternatively, all or part of the processes described as being performed manually can be performed automatically using a known method. In addition, the processing procedures, control procedures, specific names, and information including various data and parameters described above and illustrated can be changed as appropriate unless otherwise specified.

[0075] [program] 10 is a diagram showing an example of a computer in which the information processing server 10 is realized by executing a program. The computer 1000 has, for example, a memory 1010 and a CPU 1020. The computer 1000 also has a hard disk drive interface 1030, a disk drive interface 1040, a serial port interface 1050, a video adapter 1060, and a network interface 1070. These components are connected by a bus 1080.

[0076] The memory 1010 includes a ROM 1011 and a RAM 1012. The ROM 1011 stores a boot program such as a BIOS (Basic Input Output System). The hard disk drive interface 1030 is connected to a hard disk drive 1090. The disk drive interface 1040 is connected to a disk drive 1100. A removable storage medium such as a magnetic disk or optical disk is inserted into the disk drive 1100. The serial port interface 1050 is connected to a mouse 1110 and a keyboard 1120, for example. The video adapter 1060 is connected to a display 1130, for example.

[0077] The hard disk drive 1090 stores, for example, an OS (Operating System) 1091, an application program 1092, a program module 1093, and program data 1094. That is, a program that defines each process of the information processing server 10 is implemented as a program module 1093 in which code executable by the computer 1000 is written. The program module 1093 is stored, for example, in the hard disk drive 1090. For example, a program module 1093 for executing the same process as the functional configuration of the information processing server 10 is stored in the hard disk drive 1090. Note that the hard disk drive 1090 may be replaced with an SSD (Solid State Drive).

[0078] Furthermore, setting data used in the processing of the above-described embodiment is stored as program data 1094, for example, in memory 1010 or hard disk drive 1090. Then, CPU 1020 reads program module 1093 and program data 1094 stored in memory 1010 or hard disk drive 1090 into RAM 1012 as necessary and executes them.

[0079] The program module 1093 and program data 1094 are not limited to being stored in the hard disk drive 1090, but may also be stored in, for example, a removable storage medium and read by the CPU 1020 via the disk drive 1100 or the like. Alternatively, the program module 1093 and program data 1094 may be stored in another computer connected via a network (such as a local area network (LAN) or a wide area network (WAN)). The program module 1093 and program data 1094 may then be read by the CPU 1020 from the other computer via the network interface 1070.

[0080] Although the present invention has been described above as an embodiment, the present invention is not limited to the descriptions and drawings that form part of the disclosure of the present invention. In other words, other embodiments, examples, and operational techniques that can be made by those skilled in the art based on the present invention are all included in the scope of the present invention. [Explanation of symbols]

[0081] 10 Information Processing Server 11 Communications Department 12 Storage section 13 Control Unit 121 User Information 122 Health Information 123 Recommendation Information 131 Health Information Collection Department 132 Judgment section 133 Decision Model 134 Distribution Department 135 Recommendation Department 136 Health Level Judgment Department 20, 20-A1~20-B2 User terminal 20-AM, 20-BM Administrator terminal 30, 30-1, 30-2 External Server 100 Information Processing Systems

Claims

1. a collection unit that collects health information that is the subject of a transmission request; a first determination unit that determines the reliability of each piece of health information using a determination model; a distribution unit that distributes health information having a reliability corresponding to a predetermined community to a user terminal used by a user of the predetermined community; An information processing device comprising:

2. The information processing device according to claim 1, characterized in that the judgment model is a machine learning model that, when health information is input, outputs the reliability of the input health information, and is a machine learning model in which machine learning is performed using peer-reviewed papers in the medical field, academic books in the medical field, contents of national medical examinations, and publications of administrative agencies that have jurisdiction over the medical field.

3. 2. The information processing apparatus according to claim 1, further comprising a recommendation unit that transmits recommendation information recommending actions that will improve health to user terminals used by users of the predetermined community.

4. The information processing device according to claim 3 , wherein the recommendation unit transmits recommendation information that recommends the behavior according to attributes, medical history, hobbies, health checkup results, and / or vital data of users of the predetermined community.

5. The information processing device according to claim 3, further comprising a second judgment unit that acquires information indicating whether or not users of the specified community have performed the actions recommended by the recommendation unit, and judges the health level of the user based on the acquired information and the user's attributes, medical history, hobbies, health check results, and / or vital data.

6. An information processing method executed by an information processing device, collecting health information to be requested for transmission; determining the reliability of each piece of health information using a determination model; a step of distributing health information having a reliability level corresponding to a predetermined community to a user terminal used by a user of the predetermined community; An information processing method comprising:

7. collecting health information to be requested for transmission; determining the reliability of each piece of health information using a determination model; a step of distributing health information having a reliability level corresponding to a predetermined community to a user terminal used by a user of the predetermined community; An information processing program that causes a computer to execute the above.

Images