Health management support device, system, method and program

Abstract

This health management assistance device (1) comprises: a first acquisition unit (11) for acquiring basic health information for a first user, the basic health information being measured using a measurement terminal worn by the first user; a second acquisition unit (12) for acquiring authentication history information including a personal authentication result and an authentication location for the first user; and a derivation unit (13) for deriving, on the basis of the basic health information and the authentication history information, factor-related information relating to a factor that affected the health state of the first user. This makes it possible to collect and analyze a variety of types of information in order to manage the health state, as well as to assist in health management.

Description

[Technical Field]

[0001] The present disclosure relates to a health management support device, system, method, and program. [Background technology]

[0002] In recent years, it has become increasingly important to manage the health of workers while taking into consideration their working environment. Patent Document 1 discloses a technology for calculating arrival and departure times from authentication results. Patent Document 2 discloses a technology for calculating the time spent at a desk from information collected from a wearable device, and for issuing health management recommendations if the time spent at a desk exceeds a threshold. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2021-089638 [Patent Document 2] Japanese Patent Application Laid-Open No. 2017-170066 Summary of the Invention [Problem to be solved by the invention]

[0004] Here, in order to manage a person's health condition, it is necessary to collect and analyze various types of information. However, there is a problem in that collecting and analyzing various types of information to identify stress factors when an abnormality occurs in a health condition is complicated, and it is often difficult to identify the cause.

[0005] In view of the above-mentioned problems, the object of the present disclosure is to provide a health management support device, system, method, and program for supporting health management by collecting and analyzing various types of information to manage health status. [Means for solving the problem]

[0006] The health management support device according to the present disclosure comprises: a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including the personal authentication result and the authentication location of the first user; a derivation means for deriving factor-related information relating to factors that have influenced the health state of the first user based on the basic health information and the authentication history information; Equipped with.

[0007] The health management support system according to the present disclosure includes: an authentication terminal for performing personal authentication of a user; a health management support device; The health management support device includes: a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including a personal authentication result and an authentication location of the first user by the authentication terminal; a derivation means for deriving factor-related information relating to factors that have influenced the health state of the first user based on the basic health information and the authentication history information; Equipped with.

[0008] The health management support method according to the present disclosure includes: The computer Acquire basic health information of the first user measured by a measurement terminal worn by the first user; acquiring authentication history information including a personal authentication result and an authentication location of the first user; Based on the basic health information and the authentication history information, factor-related information regarding factors that have influenced the health state of the first user is derived.

[0009] The health management support program disclosed herein includes: a first acquisition process for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquisition process for acquiring authentication history information including a personal authentication result and an authentication location of the first user; a derivation process for deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; to be executed by the computer. [Effects of the Invention]

[0010] The present disclosure can provide a health management support device, system, method, and program for supporting health management by collecting and analyzing various types of information to manage health conditions. [Brief explanation of the drawings]

[0011] [Figure 1] 1 is a block diagram showing the configuration of a health management support device according to a first embodiment. [Figure 2] 1 is a flowchart showing the flow of a health management support method according to the first embodiment. [Figure 3] FIG. 10 is a block diagram showing the configuration of a health management support system according to a second embodiment. [Figure 4] FIG. 10 is a block diagram showing the configuration of an authentication device according to a second embodiment. [Figure 5] FIG. 10 is a block diagram showing the configuration of a health management support device according to a second embodiment. [Figure 6] 10 is a flowchart showing the flow of a user information registration process according to the second embodiment. [Figure 7] 10 is a flowchart showing the flow of a face information registration process performed by the authentication device according to the second embodiment. [Figure 8] FIG. 10 is a sequence diagram showing the flow of a process for registering basic health information according to the second embodiment. [Figure 9] FIG. 10 is a sequence diagram showing the flow of a registration process of authentication history information according to the second embodiment. [Figure 10] 10 is a flowchart showing the flow of face authentication processing by the authentication device according to the second embodiment. [Figure 11] 10 is a flowchart showing the flow of analysis processing according to the second embodiment. [Figure 12] FIG. 10 is a diagram for explaining the concept of a specific example 2-1 according to the second embodiment. [Figure 13] FIG. 10 is a diagram for explaining the concept of specific example 2-2 according to the second embodiment. [Figure 14] FIG. 10 is a diagram for explaining the concept of specific example 2-3 according to the second embodiment. [Figure 15] FIG. 10 is a diagram for explaining the concept of specific example 2-4 according to the second embodiment. [Figure 16] FIG. 10 is a diagram for explaining the concept of specific example 2-5 according to the second embodiment. [Figure 17] FIG. 10 is a diagram for explaining the concept of specific example 2-6 according to the second embodiment. DETAILED DESCRIPTION OF THE INVENTION

[0012] Hereinafter, embodiments of the present disclosure will be described in detail with reference to the drawings. In each drawing, the same or corresponding elements are designated by the same reference numerals, and for clarity of explanation, duplicate explanations will be omitted as necessary.

[0013] <Embodiment 1> FIG. 1 is a block diagram showing the configuration of a health management support device 1 according to the first embodiment. The health management support device 1 is an information processing device for supporting the health management of a predetermined user. Here, it is assumed that a first user, who is the predetermined user, wears a measurement terminal capable of measuring basic health information from the body. The measurement terminal then transmits basic health information such as measurement values ​​to the health management support device 1 periodically, at predetermined timing, or in response to a request from the health management support device 1. Here, the basic health information includes the user's skin temperature, pulse rate, number of steps, amount of conversation, sleep time, etc.

[0014] Furthermore, the first user performs personal authentication to verify the identity (identify the user) using the authentication terminal. Here, personal authentication includes biometric authentication such as facial recognition, and authentication for verifying the identity using electronic identification information. If the authentication terminal is successful in personal authentication of the first user, it transmits authentication history information including the personal authentication result (identification information of the first user and authentication time) and the authentication location (information indicating the installation location of the authentication terminal, etc.) to the health management support device 1. The authentication terminal may register the authentication history information in the health management support device 1 or another storage device.

[0015] The health management support device 1 includes a first acquisition unit 11, a second acquisition unit 12, and a derivation unit 13. The first acquisition unit 11 acquires basic health information of the first user measured by a measurement terminal worn by the first user. The second acquisition unit 12 acquires authentication history information including the personal authentication result and authentication location of the first user. The derivation unit 13 derives factor-related information related to factors that have affected the health condition of the first user based on the basic health information and the authentication history information.

[0016] 2 is a flowchart showing the flow of the health management support method according to the first embodiment. First, the first acquisition unit 11 acquires basic health information of the first user measured by a measurement terminal worn by the first user (S11). Next, the second acquisition unit 12 acquires authentication history information including the personal authentication result and authentication location of the first user (S12). Then, the derivation unit 13 derives factor-related information related to factors that have affected the health condition of the first user based on the basic health information and the authentication history information (S13).

[0017] In this way, in the first embodiment, the basic health information and authentication history information of the first user are collected, and by comprehensively considering these, factors that have affected the health condition and information that can contribute to the analysis of those factors can be derived as factor-related information. Therefore, the manager who manages the health of the first user can easily understand the factors that have affected the first user's health condition using the factor-related information. Alternatively, the manager can use the factor-related information to easily perform various analyses and formulate health management indicators from the analysis results. In other words, health management can be supported by collecting and analyzing various types of information to manage the health condition.

[0018] The health management support device 1 includes a processor, a memory, and a storage device (not shown). The storage device stores a computer program that implements the processing of the health management support method according to this embodiment. The processor then loads the computer program from the storage device into the memory and executes the computer program. This allows the processor to implement the functions of a first acquisition unit 11, a second acquisition unit 12, and a derivation unit 13.

[0019] Alternatively, each component of the health management support device 1 may be realized by dedicated hardware. Furthermore, some or all of the components of each device may be realized by general-purpose or dedicated circuits, processors, etc., or a combination of these. These may be configured by a single chip, or by multiple chips connected via a bus. Some or all of the components of each device may be realized by a combination of the above-mentioned circuits, etc., and programs. Furthermore, a CPU (Central Processing Unit), GPU (Graphics Processing Unit), FPGA (Field-Programmable Gate Array), quantum processor (quantum computer control chip), etc., may be used as the processor.

[0020] Furthermore, when some or all of the components of the health management support device 1 are realized by multiple information processing devices, circuits, etc., the multiple information processing devices, circuits, etc. may be centrally or decentralized. For example, the information processing devices, circuits, etc. may be realized as a client-server system, a cloud computing system, or the like, connected via a communication network. Furthermore, the functions of the health management support device 1 may be provided in a SaaS (Software as a Service) format.

[0021] <Embodiment 2> The second embodiment is a specific example of the first embodiment described above. The second embodiment illustrates an example of a health management support system for supporting the health management of members (users) of an organization such as a company. FIG. 3 is a block diagram showing the configuration of a health management support system 1000 according to the second embodiment. A facility 200 is a building that serves as a base for activities, work, tasks, breaks, etc. within the organization. The facility 200 has various areas 210, 220, etc., and authentication terminals 120-1, 120-2, etc. are installed in each area. It is assumed that the facility 200 contains users U1 to U3 who are health management targets, and an administrator UA who manages the health of users U1, etc. It is assumed that users U1, etc. and administrator UA sometimes spend time outside the facility 200, for example, at home, outside of their organizational activity hours. Alternatively, there may be multiple facilities 200, and each user, etc., may be located at multiple different locations. The facility 200 may also be the home of each user, etc.

[0022] The health management support system 1000 includes measurement terminals 110-1 to 110-3, authentication terminals 120-1 and 120-2, a management terminal 300, an authentication device 400, and a health management support device 500. The measurement terminals 110-1, etc., the authentication terminals 120-1, etc., the management terminal 300, the authentication device 400, and the health management support device 500 are each communicably connected via a network N. Here, the network N is a wired or wireless communication line or communication network, such as a LAN (Local Area Network), the Internet, a wireless communication network, a mobile phone network, etc. Furthermore, the network N may use any type of communication protocol.

[0023] Assume that user U1 wears the measurement terminal 110-1, user U2 wears the measurement terminal 110-2, and users U1 and U2 are staying in area 210. Assume that user U3 wears the measurement terminal 110-3 and is staying in area 220. Note that the area where each user is staying is merely an example at a certain point in time. Here, the measurement terminals 110-1 to 110-3 have equivalent functions, and may be collectively referred to as "measurement terminals 110" below. Furthermore, users U1 to U3 are members of the above-mentioned organization, for example, workers or employees working for a company. Below, users U1 to U3 may be collectively referred to as "user U." Furthermore, user U may include administrator UA.

[0024] The measurement terminal 110 is a wearable device worn on the body of the user U. The measurement terminal 110 measures measurement information, which is information indicating the physical health condition of the user U wearing the measurement terminal, as basic health information. The measurement terminal 110 also transmits a basic health information registration request, including the measurement terminal ID, the measurement time, and the measurement information, to the health management support device 500. The measurement terminal 110 may be equipped with a microphone. In this case, the measurement terminal 110 may detect the volume of sound picked up by the microphone and calculate the picked-up time as the conversation time. Alternatively, the measurement terminal 110 may determine from the picked-up sound whether it is the wearer's own voice or the voice of another person (such as a conversation partner), and separately count the conversation time when the wearer is speaking and the conversation time when the other person is speaking. Alternatively, the measurement terminal 110 may measure the above-mentioned basic health information using known technology.

[0025] Authentication terminal 120-1 is installed in area 210, and authentication terminal 120-2 is installed in area 220. Here, authentication terminals 120-1 and 120-2 have equivalent functions, and hereinafter they may be collectively referred to as "authentication terminal 120."

[0026] In this example, the authentication terminal 120 performs face authentication as personal authentication. The authentication terminal 120 captures an image of an area including the user's face using a built-in or connected camera, and transmits a face authentication request including the captured face image and the authentication terminal ID to the authentication device 400 or the health management support device 500 via the network N. The face authentication request may also include time information such as the time of capture or transmission. The face authentication request may also include location information indicating the installation location of the authentication terminal 120.

[0027] The authentication terminal 120 may be a user terminal operated by the user U. The user terminal may transmit a face authentication request, including an image of the user captured by a built-in or connected camera and location information of the user terminal, to the authentication device 400 or the health management support device 500 via the network N. The user terminal may also be a mobile terminal carried by the user U. The user terminal may also perform a process of registering the user's face image (facial feature information) in the authentication device 400 in advance. For example, the user terminal transmits a registration request for user information, including the face image, personal information, and the measurement terminal ID of the measurement terminal being worn, to the health management support device 500. In this case, the health management support device 500 registers the user's face information in the authentication device 400.

[0028] The authentication device 400 is an information processing device that manages facial feature information of users and performs facial authentication. In response to a facial authentication request received from the outside, the authentication device 400 compares the facial image or facial feature information included in the request with the facial feature information of each user and returns the comparison result (authentication result) to the request source.

[0029] FIG. 4 is a block diagram showing the configuration of an authentication device 400 according to the second embodiment. The authentication device 400 includes a face information database (DB) 410, a face detection unit 420, a feature point extraction unit 430, a registration unit 440, and an authentication unit 450. The face information DB 410 stores a user ID 411 and facial feature information 412 for the user ID in association with each other. The facial feature information 412 is a collection of feature points extracted from a facial image. The authentication device 400 may delete the facial feature information 412 from the face information DB 410 in response to a request from a user or the like corresponding to the facial feature information 412. Alternatively, the authentication device 400 may delete the facial feature information 412 after a certain period of time has elapsed since registration.

[0030] Face detection unit 420 detects a face area included in a registration image for registering face information and outputs the detected face area to feature point extraction unit 430. Feature point extraction unit 430 extracts feature points from the face area detected by face detection unit 420 and outputs face feature information to registration unit 440. Feature point extraction unit 430 also extracts feature points included in a face image received from health management support device 500 or the like and outputs the face feature information to authentication unit 450.

[0031] The registration unit 440 issues a new user ID 411 when registering facial feature information. The registration unit 440 associates the issued user ID 411 with facial feature information 412 extracted from the registration image and registers the associated user ID 411 in the facial information DB 410. The authentication unit 450 performs facial authentication using the facial feature information 412. Specifically, the authentication unit 450 compares the facial feature information extracted from the facial image with the facial feature information 412 in the facial information DB 410. If the comparison is successful, the authentication unit 450 identifies the user ID 411 associated with the compared facial feature information 412. The authentication unit 450 returns a match of the facial feature information to the request source as a facial authentication result. The match of the facial feature information corresponds to the success or failure of authentication. Note that the facial feature information matches (matches) when the degree of match is equal to or greater than a threshold. If the facial authentication is successful, the facial authentication result includes the identified user ID.

[0032] Returning to FIG. 3, the explanation continues. Health management support device 500 is an example of the above-mentioned health management support device 1. Health management support device 500 is an information processing device that derives factor-related information relating to factors that have affected the health condition of a specific user based on basic health information and authentication history information, and outputs the information to management terminal 300 or the like. Health management support device 500 may be configured redundantly across multiple servers, and each functional block may be implemented by multiple computers.

[0033] 5 is a block diagram showing the configuration of a health management support device 500 according to the second embodiment. The health management support device 500 includes a storage unit 510, a memory 520, a communication unit 530, and a control unit 540. The storage unit 510 is an example of a storage device such as a hard disk or a flash memory. The storage unit 510 stores a program 511, user information 512, authentication terminal information 513, basic health information 514, and authentication history information 515. The program 511 is a computer program (health management support program) that implements health management support processes and the like according to the second embodiment, including user information registration processing, basic health information registration processing, and authentication history information registration processing and analysis processing.

[0034] The user information 512 is information for managing users who are subjects or related parties of health management. The user information 512 is information that associates a user ID 5121, personal information 5122, and a measurement terminal ID 5123. The user ID 5121 is user identification information. The user ID 5121 is information that is identical to or uniquely corresponds to the user ID 411 that is associated with the facial feature information 412 and managed in the face information DB 410 of the authentication device 400. Therefore, the user information 512 can be said to be information that is associated with the user's registered feature information (biometric information, personal authentication information, personal identification information, etc.) via the user ID 5121. The personal information 5122 includes name, age, sex, address, payment information, medical history, medical examination history, health checkup history, etc. The payment information includes credit card information, bank debit account information, etc. The measurement terminal ID 5123 is identification information of the measurement terminal 110 worn by the user.

[0035] The authentication terminal information 513 is information for managing the authentication terminal 120. The authentication terminal information 513 is information that associates an authentication terminal ID 5131 with an installation location 5132. The authentication terminal ID 5131 is identification information of the authentication terminal 120. The authentication terminal ID 5131 is information that is set in advance in each authentication terminal 120 and is included in a face authentication request and transmitted. The installation location 5132 is information that indicates the installation location of the authentication terminal 120, for example, information that can identify an area, room, etc. Alternatively, the installation location 5132 may be position information. Therefore, the authentication terminal ID 5131 can be said to be information that can identify the associated installation location 5132, that is, the authentication location.

[0036] The basic health information 514 is information for managing measurement information measured by the measurement terminal 110 worn by the user U. The basic health information 514 is information that associates a user ID 5141, a measurement time 5142, and measurement information 5143. The user ID 5141 is user identification information and is identical to or uniquely corresponds to the above-mentioned user ID 5121. The measurement time 5142 is time information indicating the time when the measurement information 5143 was measured by the measurement terminal 110. The measurement information 5143 is measurement values, etc. measured by the measurement terminal 110 from the user U who is wearing the device. The measurement information 5143 is, for example, the user U's skin temperature, pulse rate, number of steps, amount of conversation, sleep time, etc. as described above, but is not limited to these. Furthermore, it is sufficient for there to be one or more types of measurement information 5143 per user. Conversely, the measurement information 5143 may include multiple types of measurement values, etc. per user. Furthermore, the types of measurement values ​​may differ for each user.

[0037] The authentication history information 515 is information for managing the authentication history when the user U is authenticated by the authentication terminal 120. The authentication history information 515 is information that associates a user ID 5151, an authentication time 5152, and an authentication location 5153. The user ID 5151 is identification information of a user who has succeeded in face authentication, which will be described later, and is information that is identical to or uniquely corresponds to the user ID 5121 described above. The authentication time 5152 is time information such as the photographing time or transmission time included in the face authentication request described above, or the time when authentication was successful through face authentication processing, which will be described later. The authentication location 5153 is information that indicates the installation location 5132 of the authentication terminal 120 when authentication was successful. The authentication location 5153 may be location information.

[0038] It is sufficient that storage unit 510 stores at least program 511. Therefore, some or all of user information 512, authentication terminal information 513, basic health information 514, and authentication history information 515 may be stored in an external storage device connected to health management support device 500.

[0039] The memory 520 is a volatile storage device such as a RAM (Random Access Memory), and is a storage area for temporarily holding information during operation of the control unit 540. The communication unit 530 is a communication interface with the network N.

[0040] Control unit 540 is a processor, i.e., a control device, that controls each component of health management support device 500. Control unit 540 loads program 511 from storage unit 510 into memory 520 and executes program 511. In this way, control unit 540 realizes the functions of acquisition unit 541, registration unit 542, derivation unit 543, and output unit 544.

[0041] The acquisition unit 541 is an example of the first acquisition unit 11 and the second acquisition unit 12 described above. The acquisition unit 541 acquires the above-mentioned user information registration request from the above-mentioned user terminal, etc. The acquisition unit 541 also acquires a basic health information registration request from the measurement terminal 110. The acquisition unit 541 also acquires a face authentication request from the authentication terminal 120.

[0042] The registration unit 542 performs registration processing in response to a registration request for user information. Specifically, the registration unit 542 registers facial feature information for a facial image included in the registration request for user information in the authentication device 400, and acquires a user ID issued at the time of registration. Then, the registration unit 542 generates user information 512 by associating the user ID with the personal information and measurement terminal ID included in the registration request, and registers the generated user information in the storage unit 510.

[0043] Furthermore, the registration unit 542 performs a process for registering the basic health information in response to the basic health information registration request. Specifically, the registration unit 542 identifies the user ID 5121 associated with the measurement terminal ID 5123 included in the basic health information registration request from the user information 512. The registration unit 542 then generates basic health information 514 by associating the identified user ID 5141 with the measurement time 5142 and measurement information 5143 included in the basic health information registration request, and registers the information in the storage unit 510.

[0044] Furthermore, the registration unit 542 performs a process of registering authentication history information in response to a face authentication request. Specifically, the registration unit 542 extracts a person's face area as a face image from the face image included in the face authentication request, and transmits the face authentication request including the face image to the authentication device 400. Then, the registration unit 542 receives a face authentication result from the authentication device 400. Furthermore, the registration unit 542 identifies, from the authentication terminal information 513, an installation location 5132 associated with an authentication terminal ID 5131 included in the face authentication request. If the face authentication result indicates successful authentication, the registration unit 542 generates authentication history information 515 by associating a user ID 5151, an authentication time 5152, and an authentication location 5153 included in the face authentication result with each other, and registers the generated authentication history information in the storage unit 510.

[0045] The derivation unit 543 is an example of the derivation unit 13 described above. The derivation unit 543 performs the analysis process described above. The derivation unit 543 derives factor-related information related to factors that affected the health state of a specific user based on the basic health information 514 and the authentication history information 515. Here, the factor-related information is information that is a candidate for a factor that affected the health state of the specific user. For example, the factor-related information may be a time period, a location, other users, a lifestyle, a work situation, etc. that may have affected the health state of the specific user. Alternatively, the factor-related information may be other users who can contribute to the analysis of factors that affected the health state of the specific user. Alternatively, the factor-related information may be a countermeasure for the factor, such as an improvement plan.

[0046] Specifically, the derivation unit 543 derives the factor-related information based on the authentication location 5153 corresponding to a specific authentication time 5152 included in the authentication history information 515, and the basic health information 514 corresponding to the specific authentication time 5152. This can assist in analyzing the factors based on the correlation between the location where a specific user stayed at a specific time and the basic health information at that time. In particular, the derivation unit 543 may derive the factor-related information from the authentication history information 515 based on the transition of the authentication location 5153 for each authentication time 5152 and the transition of the basic health information 514 for each authentication time 5152. This can assist in analyzing the factors based on the correlation between the transition of the location where a specific user stayed and the movement route (traffic line) over a certain period of time, and the tendency of changes in the user's physical condition.

[0047] The derivation unit 543 may also derive, as factor-related information, a time period or a place that may have affected the health condition of a specific user, thereby making it easier to identify the factor.

[0048] The derivation unit 543 may also calculate time information related to work of a specific user from the authentication history information 515, and derive factor-related information based on the calculated time information and the transition of the basic health information 514. Here, the time information related to work includes arrival time at work, working hours, overtime hours, private time outside of working hours, etc. This makes it easier to determine whether a factor is during working hours or outside of working hours, the amount of overtime, or the presence or absence of an influence of work.

[0049] The derivation unit 543 may also derive the behavior of the first user as the factor-related information. Here, the behavior refers to collaborative work (meetings, conversations) performed by multiple people, individual work, smoking, behavior outside of working hours (sleeping, eating), etc. This makes it easier to analyze the factors.

[0050] Furthermore, derivation unit 543 may identify a time period in which basic health information 514 satisfies a predetermined condition, and derive factor-related information based on authentication history information 515 corresponding to the identified time period. This makes it possible to identify, for example, the places where the user stayed during a time period in which the user's health condition was relatively poor, or people related to that time period, making it easier to analyze the factors.

[0051] Furthermore, it is desirable that the derivation unit 543 derives the factor-related information by taking into account the authentication history information 515 of multiple second users. This makes it possible to identify candidates for people who may have influenced the health condition of a specific user or who may know the circumstances, making it easier to analyze the factors.

[0052] The derivation unit 543 may also derive, from among multiple second users, users who may have influenced the health condition of the first user as factor-related information. This allows for identification of candidates who may have influenced the health condition of a specific user, making it easier to analyze the factors.

[0053] Furthermore, the derivation unit 543 may derive, from among the plurality of second users, users who can contribute to the analysis of the factors as factor-related information. This makes it possible to identify candidates who may know the circumstances of the change in the health condition of a specific user, and to easily analyze the factors by interviewing the candidates.

[0054] Furthermore, the derivation unit 543 may derive countermeasures for the causes as the cause-related information, which makes it easier to consider measures to improve the health condition of a specific user.

[0055] The output unit 544 outputs the factor-related information derived by the derivation unit 543 to the outside. For example, the output unit 544 transmits the factor-related information to the management terminal 300 via the network N. For example, if the factor-related information is an analysis result, the administrator UA can understand factors that may have affected the user's health condition by looking at the factor-related information (analysis result) displayed on the management terminal 300. Furthermore, if the factor-related information is information that can contribute to the analysis of factors, the administrator UA can easily analyze factors that may have affected the health condition of a specific user by taking into account the factor-related information displayed on the management terminal 300. Furthermore, if the factor-related information is a countermeasure for the factor, the administrator UA can easily consider measures to improve the health condition of a specific user by taking into account the factor-related information displayed on the management terminal 300.

[0056] 6 is a flowchart showing the flow of user information registration processing according to the second embodiment. First, the user terminal accepts input of personal information and a measurement terminal ID from the user U, and captures an image of the user U's face with a camera. Then, the user terminal transmits a user information registration request including the face image, personal information, and measurement terminal ID of the user U to the health management support device 500 via the network N. In response, the health management support device 500 receives the user information registration request from the user terminal via the network N (S21).

[0057] Next, health management support device 500 extracts a face image from the received registration request. Then, health management support device 500 transmits a face information registration request including the extracted face image to authentication device 400 via network N (S22). In response to this, authentication device 400 performs face information registration processing.

[0058] FIG. 7 is a flowchart showing the flow of face information registration processing by authentication device 400 according to the second embodiment. First, authentication device 400 receives a face information registration request (S201). For example, authentication device 400 receives the face information registration request from health management support device 500 via network N. Next, face detection unit 420 detects a face area from a face image included in the face information registration request (S202). Then, feature point extraction unit 430 extracts feature points (facial feature information) from the face area detected in step S202 (S203). Then, registration unit 440 issues a user ID 411 (S204). Then, registration unit 440 associates the extracted facial feature information 412 with the issued user ID 411 and registers them in face information DB 410 (S205). Thereafter, registration unit 440 returns the issued user ID 411 to the request source (e.g., health management support device 500) (S206). The authentication device 400 may perform face information registration processing in response to a face information registration request received from an arbitrary information registration terminal. For example, the information registration terminal is an information processing device such as a personal computer, a smartphone, or a tablet terminal.

[0059] Returning to FIG. 6, the explanation continues. The health management support device 500 receives the face information registration result (user ID) from the authentication device 400 via the network N (S23). Then, the health management support device 500 extracts the personal information and the measurement terminal ID from the registration request received in step S21. Then, the health management support device 500 registers the user information 512, which associates the received user ID 5121, personal information 5122, and measurement terminal ID 5123, in the storage unit 510 (S24).

[0060] 8 is a sequence diagram showing the flow of the basic health information registration process according to the second embodiment. First, the measurement terminal 110 measures physical measurement information from the user U who is the wearer (S301). Then, the measurement terminal 110 transmits a basic health information registration request including the measurement terminal ID, measurement time, and measurement information to the health management support device 500 via the network N (S302). In response, the health management support device 500 receives the basic health information registration request from the measurement terminal 110 via the network N.

[0061] Next, the health management support device 500 extracts the measurement terminal ID from the received basic health information registration request. The health management support device 500 then identifies the user ID 5121 associated with the extracted measurement terminal ID 5123 from the user information 512 (S303). The health management support device 500 then associates the identified user ID 5141 with the measurement time 5142 and measurement information 5143 included in the basic health information registration request and registers them in the storage unit 510 as basic health information 514 (S304). The basic health information registration process is executed periodically, at a predetermined timing, or in response to a request from the health management support device 500. Therefore, the health management support device 500 or an external storage device stores multiple pieces of basic health information 514 for each user U1, etc.

[0062] 9 is a sequence diagram showing the flow of authentication history information registration processing according to the second embodiment. Here, a case where authentication history information of user U1 staying in area 210 is registered will be described. First, authentication terminal 120-1 photographs the face of user U1 (S311). Then, authentication terminal 120-1 transmits an authentication request including the facial image of user U1 photographed in step S311 and the authentication terminal ID of authentication terminal 120-1 to health management support device 500 via network N (S312). In response to this, health management support device 500 receives the authentication request from authentication terminal 120-1 via network N, and transmits a face authentication request including the facial image included in the authentication request to authentication device 400 via network N (S313). In response to this, authentication device 400 performs face authentication processing (S314).

[0063] FIG. 10 is a flowchart showing the flow of face authentication processing by the authentication device 400 according to the second embodiment. First, the authentication device 400 receives a face authentication request from the health management support device 500 via the network N (S211). Next, the authentication device 400 extracts facial feature information from the face image included in the face authentication request, similar to steps S202 and S203 described above. Then, the authentication unit 450 of the authentication device 400 compares the facial feature information extracted from the face image included in the face authentication request with the facial feature information 412 in the face information DB 410 (S212) and calculates the degree of match. Then, the authentication unit 450 determines whether the degree of match is equal to or greater than a threshold (S213). If the facial feature information matches, that is, if the degree of match of the facial feature information is equal to or greater than the threshold, the authentication unit 450 identifies the user ID 411 associated with the facial feature information 412 (S214). Then, authentication unit 450 returns the face authentication result, including the fact that face authentication was successful and the identified user ID 411, to health management support device 500 via network N (S215). If the degree of match is less than the threshold in step S213, authentication unit 450 returns the face authentication result, including the fact that face authentication was unsuccessful, to health management support device 500 via network N (S216).

[0064] Returning to FIG. 9, the explanation will be continued. Health management support device 500 receives the face authentication result from authentication device 400 via network N. Health management support device 500 then determines whether face authentication has been successful. Specifically, health management support device 500 refers to the face authentication result, and determines that face authentication has been successful if the face authentication result includes a user ID. If it is determined that face authentication has failed, health management support device 500 may return a message to authentication terminal 120-1 via network N indicating that the user has failed face authentication.

[0065] Here, the explanation will continue assuming that the facial authentication result includes a message indicating that facial authentication was successful and the user ID of user U1. Health management support device 500 identifies installation location 5132 associated with authentication terminal ID 5131 included in the facial authentication request received from authentication terminal 120-1 from authentication terminal information 513 (S316). Health management support device 500 then associates user ID 5151, authentication time 5152, and authentication location 5153 included in the facial authentication result and registers them in storage unit 510 as authentication history information 515 (S317).

[0066] FIG. 11 is a flowchart showing the flow of analysis processing according to the second embodiment. First, the management terminal 300 accepts designation of a user to be analyzed from the administrator UA and transmits the designation of the user to be analyzed to the health management support device 500 via the network N. In response, the health management support device 500 accepts the designation of the user to be analyzed from the management terminal 300 via the network N (S321). The health management support device 500 then analyzes the basic health information 514 and authentication history information 515 corresponding to the designated user and derives factor-related information (S322). Thereafter, the health management support device 500 outputs the factor-related information to the management terminal 300 via the network N (S323). In response, the management terminal 300 displays the received factor-related information on a screen. This makes it easier for the administrator UA to consider health management indices in the organization.

[0067] Next, a specific example according to this embodiment will be described. In the following description, it is assumed that a user U1 is a subject of health management, and when an abnormality occurs in the health condition of user U1, administrator UA uses health management support device 500 to analyze the cause.

[0068] <Example 2-1> In this example, a case will be described in which candidate locations and time periods that may have affected the health status are derived as factor-related information. In this case, the measurement information 5143 in the basic health information 514 is assumed to be skin temperature and pulse rate. The derivation unit 543 then identifies the user U1's movement path from the transition of the authentication location 5153 for each authentication time 5152 associated with the user U1's user ID 5151 in the authentication history information 515. For example, the derivation unit 543 may identify the user U1's movement path, such as the stay time at each location, travel routes between areas and to other locations, and waypoints on the travel route, from the authentication locations for each authentication time. Next, the derivation unit 543 determines the characteristics and attributes of the locations from the identified movement path and analyzes the trends of each location and waypoint. For example, the derivation unit 543 determines a rest area, a smoking area, a conference room, or outside the facility 200 (e.g., the user U1's home) as the attribute of the location of stay. The derivation unit 543 may also analyze the frequency of stays or stops at places of stay and transit points. Next, the derivation unit 543 identifies the measurement information 5143 for user U1 for each of the identified time periods from the basic health information 514, and identifies time periods or places of stay where the identified measurement information 5143 is equal to or greater than a predetermined value. The derivation unit 543 then derives the identified time periods or places of stay, or places of stay where the user frequently uses the time period or stays for a long time, as factor-related information. The output unit 544 then outputs the derived factor-related information and the measurement information for the identified time period to the management terminal 300. As a result, if the user U1's health condition is abnormal, the administrator UA can analyze the cause of the abnormality in the user U1's health condition using clues such as places and time periods that may have affected the user U1's health condition. FIG. 12 is a diagram for explaining the concept of specific example 2-1 according to the second embodiment.

[0069] <Example 2-2> In this example, a case will be described in which candidates for people who may have affected the health status are derived as factor-related information. In this case, the measurement information 5143 of the basic health information 514 is the pulse rate. The derivation unit 543 then identifies, from the basic health information 514, a time period during which the pulse rate of user U1 remained above a predetermined value for a certain period of time or longer. The derivation unit 543 then refers to the authentication history information 515 to identify user U2 who was in the same location (e.g., a conference room) as user U1 during the identified time period. Note that even if user U1 and the authentication location 5153 are different, the derivation unit 543 may identify a user who participated in the same remote conference based on a remote conference history or the like as a user who performed a collaborative task (such as a conference) with user U1 during the identified time period. In other words, the derivation unit 543 identifies user U2 who at least had contact with user U1 in some kind of task. The derivation unit 543 may then derive the degree of possibility that user U2 affected user U1's health condition from the date, time, and number of contacts and user U1's pulse rate at that time. The derivation unit 543 then identifies user U2 whose degree is equal to or greater than a predetermined value as factor-related information. The output unit 544 then outputs the derived factor-related information and the measurement information for the identified time period to the management terminal 300. This allows the administrator UA to analyze the cause of the abnormality in user U1's health condition, considering user U2 as a candidate for someone who may have affected user U1's health condition. For example, this can help analyze the possibility of a stress factor, such as user U2 being user U1's boss. Figure 13 is a diagram for explaining the concept of specific example 2-2 according to the second embodiment.

[0070] <Example 2-3> In this example, a case will be described in which candidate persons who can contribute to the analysis of factors that affected the health condition as factor-related information are derived. In this case, the measurement information 5143 of the basic health information 514 is the amount of conversation. Then, as in the above-described specific example 2-2, the derivation unit 543 identifies user U3 who had contact with user U1 in some task. Alternatively, the derivation unit 543 may calculate the speech time of user U1 and the speech time of other users from the measurement information 5143 of user U1, and calculate the speech time of user U3 and the speech time of other users from the measurement information 5143 of user U2. In this case, the derivation unit 543 may identify user U3 based on the degree of agreement between the time periods of the speech times. Then, the derivation unit 543 determines whether the amount of conversation between users U1 and U3 is equal to or greater than a predetermined time period during the time period when they had contact, based on the basic health information 514. The derivation unit 543 derives user U3 who has had a conversation amount with user U1 equal to or greater than the predetermined time period, as a person who can contribute to the analysis of factors that affected the health condition of user U1. do. As a result, the administrator UA can select user U2 as a candidate for a person to interview about the circumstances of user U1's deteriorating health condition. For example, even if user U3 has no business relationship with user U1, he or she can derive a close person who is not apparent from the organizational structure, such as someone with whom user U3 often talks at rest areas, as an interview candidate. The administrator UA can also use such relationships outside the organization as a clue to analyze the factors that have affected user U1's health condition. Figure 14 is a diagram for explaining the concept of specific example 2-3 according to the second embodiment.

[0071] <Example 2-4> This example describes a case where lifestyle rhythms and work conditions that may have affected the health condition are derived as factor-related information. In this case, the measurement information 5143 in the basic health information 514 includes the number of steps and sleep time. The derivation unit 543 then identifies the user U1's work hours and movement lines from the transition of the authentication location 5153 for each authentication time 5152 associated with the user U1's user ID 5151 in the authentication history information 515. Here, the work hours may include a breakdown of time spent at the office (working hours) and meeting time. The derivation unit 543 then analyzes the cause of the poor health condition of user U1 based on the identified work hours and movement lines and the number of steps and sleep time in the basic health information 514 of user U1. For example, the derivation unit 543 may derive factors such as lack of exercise when the number of steps is below a predetermined value, lack of sleep when the average sleep time over a certain period is below a predetermined time, or long working hours or overtime hours. This makes it easier for the administrator UA to analyze the possible causes of the user U1's poor health based on factors such as daily rhythm, work situation, etc. Fig. 15 is a diagram for explaining the concept of specific example 2-4 according to the second embodiment.

[0072] <Example 2-5> This example describes a case in which lifestyle habits outside of work hours that may have affected the health status are derived as factor-related information. In this case, the measurement information 5143 in the basic health information 514 includes the pulse rate and sleep duration. The derivation unit 543 then identifies the work hours and movement of user U1, as in specific example 2-4 above. In particular, the derivation unit 543 may determine whether user U1 has stayed in a specific area for a predetermined period of time or more. The derivation unit 543 then analyzes the causes of user U1's poor health status based on the identified work hours and movement, and the pulse rate and sleep duration in user U1's basic health information 514. For example, the derivation unit 543 may derive, as factor-related information, issues outside of work hours when the sleep duration is short and the time spent at the office is also short, a disrupted life cycle after leaving work, when the time spent at the office is short and the time spent in the smoking area is long, smoking is excessive, or when the pulse rate after leaving work is above a predetermined value. Alternatively, the derivation unit 543 may derive, as factor-related information, the degree of possibility that work content is having an influence, or the fact that work hours have a low relevance to factors and private time has a high relevance to factors. This makes it easier for the administrator UA to analyze the possibility of the cause of user U1's poor health based on the degree of influence of work hours, lifestyle habits, etc. Figure 16 is a diagram for explaining the concept of specific example 2-5 according to the second embodiment.

[0073] <Example 2-6> In this example, it is assumed that user U1 is an employee who requires special consideration for work, such as pregnancy. A case will be described in which countermeasures for factors that may have affected the user U1's health status are derived as factor-related information. In this case, the measurement information 5143 in the basic health information 514 includes skin temperature, pulse rate, number of steps, and sleep time. The derivation unit 543 then identifies the user U1's work hours and movement path, as in the above-described specific example 2-4. The derivation unit 543 then determines whether the workplace (organization) or work has a significant impact on the user U1's health status based on the identified work hours and movement path and the skin temperature, pulse rate, number of steps, and sleep time in the basic health information 514 of user U1. For example, if the pulse rate or number of steps during work hours is equal to or greater than a predetermined value, the derivation unit 543 determines that the physical load on user U1 is high at the workplace, etc. Furthermore, if the sleep time and work hours vary significantly from day to day, the derivation unit 543 determines that the user U1's daily rhythm is disrupted. If the workplace or the like has a significant impact on the health condition of user U1, the derivation unit 543 determines that the cause is that the workplace or the like is not providing appropriate consideration to user U1. Therefore, the derivation unit 543 derives countermeasures (improvement proposals) such as transferring user U1's work to desk work or reviewing shifts as cause-related information. This makes it easier for the administrator UA to propose appropriate countermeasures to employees or superiors who require special consideration in their work. FIG. 17 is a diagram for explaining the concept of specific example 2-6 according to the second embodiment.

[0074] Here, we will explain one aspect of the problem and effect that this embodiment aims to solve. For example, even a wearable device alone can acquire GPS (Global Positioning System) information, but its accuracy limits make it difficult to identify the exact location within a building. Furthermore, authentication history information can identify the location and time of a user's presence, making it possible to analyze working hours, overtime, and other factors. However, using only basic health information and authentication history information alone, it is difficult to comprehensively analyze the user's exact location (e.g., room), relationships with others (amount of conversation), and relationships outside the organization (friends with whom they talk during breaks) when they are in a certain health state. Therefore, this embodiment derives factor-related information related to factors that may affect the user's health state by combining and comprehensively analyzing the basic health information and authentication history information for a specific user. For example, providing factor-related information to a company's health management department staff (e.g., administrator UA) makes it easier for the staff to formulate a company's health management index. In other words, it is possible to provide a health management index that is specialized for the effects of the work environment. Furthermore, if an employee develops an abnormal health condition, it becomes easier to identify individuals who may be causing stress, such as those whose pulse rate increases when they are with a specific person. Furthermore, even if a person is not a stressor, by identifying someone who is often present during breaks, it is possible to create a list of people who should be interviewed, thereby providing further support for health management.

[0075] In particular, by analyzing this together with the authentication history of other users, it is possible to identify people who were in the vicinity at the same time (bosses, colleagues, junior colleagues, friends, family), people who collaborated in face-to-face (or remote) work (business, meetings, etc.), etc. This makes it easier to determine whether the stress factor is work-related or personal.

[0076] <Other embodiments> The health management support device 500 according to the above-described embodiment may further include a third acquisition unit that acquires diet history information indicating the dietary history of the first user. In this case, the derivation unit may derive factor-related information taking into account the diet history information. This allows the administrator UA to analyze factors in more detail, develop more appropriate health management indices, and more easily propose more appropriate countermeasures.

[0077] Furthermore, the processing of the derivation unit may use an AI (Artificial Intelligence) model that receives basic health information and authentication history information and outputs factor-related information for a specific user. In this case, the AI ​​model may be machine-learned using a combination of the basic health information, authentication history information, and factor-related information for the specific user as training data. The derivation unit may use the machine-learned AI model.

[0078] In the above-described embodiment, personal authentication (authentication of identity confirmation, identity authentication, identity identification processing, etc.) has been described as face authentication. However, other biometric authentication methods using biometric information may be used. Other technologies using captured images of a person may be applied to biometric authentication and biometric information. For example, biometric information may be data (features) calculated from physical characteristics unique to an individual, such as fingerprints, voiceprints, veins, retinas, irises, and palm patterns. Furthermore, biometric authentication may involve extracting feature information indicating a person's physical characteristics from a captured image of a portion of the user's body, comparing the extracted feature information with pre-registered feature information, and determining that authentication is successful if the degree of match is equal to or greater than a threshold. For example, biometric authentication may be based on a person's external shape. In this case, the feature information may be information related to the person's external shape, such as information indicating characteristics such as body shape, height, and clothing. Furthermore, other personal authentication methods may be applied instead of biometric authentication, and the biometric information may also be other personal authentication information. For example, the personal authentication information may include, but is not limited to, a user ID, a combination of ID and password, the contents (identification number and password) of an identification card such as a My Number or a driver's license, an electronic certificate, code information, etc. The code information may be a two-dimensional code, for example, a QR code (registered trademark).

[0079] In the second embodiment described above, authentication device 400 and health management support device 500 are described as separate information processing devices, but they may be the same. For example, health management support device 500 may register facial feature information in further association with user ID 5121 of user information 512. In that case, control unit 540 may further include the functions of face detection unit 420, feature point extraction unit 430, registration unit 440, and authentication unit 450 shown in FIG. 4.

[0080] In the above examples, the program includes instructions (or software code) that, when loaded into a computer, cause the computer to perform one or more functions described in the embodiments. The program may be stored on a non-transitory computer-readable medium or a tangible storage medium. By way of example and not limitation, computer-readable medium or tangible storage medium includes random-access memory (RAM), read-only memory (ROM), flash memory, solid-state drive (SSD) or other memory technology, CD-ROM, digital versatile disc (DVD), Blu-ray® disc or other optical disk storage, magnetic cassette, magnetic tape, magnetic disk storage or other magnetic storage device. The program may also be transmitted on a transitory computer-readable medium or communication medium. By way of example and not limitation, transitory computer-readable medium or communication medium includes electrical, optical, acoustic, or other forms of propagated signals.

[0081] The present disclosure is not limited to the above-described embodiments, and may be modified as appropriate without departing from the spirit and scope of the present disclosure. In addition, the present disclosure may be implemented by appropriately combining the respective embodiments.

[0082] Some or all of the above embodiments can be described as, but are not limited to, the following supplementary notes. (Appendix A1) a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including the personal authentication result and the authentication location of the first user; a derivation means for deriving factor-related information relating to factors that have influenced the health state of the first user based on the basic health information and the authentication history information; A health management support device comprising: (Appendix A2) The derivation means The factor-related information is derived based on an authentication location corresponding to a specific authentication time included in the authentication history information and the basic health information corresponding to the specific authentication time. A health management support device according to Appendix A1. (Appendix A3) The derivation means The factor-related information is derived based on the transition of the authentication location for each authentication time from the authentication history information and the transition of the basic health information for each authentication time. A health management support device according to appendix A1 or A2. (Appendix A4) The derivation means Deriving a time period or a place that may have affected the health condition of the first user as the factor-related information. A health management support device as described in Appendix A3. (Appendix A5) The derivation means Calculating time information related to the work of the first user from the authentication history information; The factor-related information is derived based on the time information and the transition of the basic health information. A health management support device according to appendix A1 or A2. (Appendix A6) The derivation means Deriving the behavior of the first user as the factor-related information. A health management support device as described in Appendix A5. (Appendix A7) The derivation means Identifying a time period in which the basic health information satisfies a predetermined condition; Deriving the factor-related information based on the authentication history information corresponding to the identified time period. A health management support device according to any one of appendices A1 to A6. (Appendix A8) The derivation means derives the factor-related information by taking into account the authentication history information of a plurality of second users. A health management support device according to any one of appendices A1 to A7. (Appendix A9) The derivation means derives, from among the plurality of second users, a user who may have influenced the health state of the first user as the factor-related information. A health management support device according to Appendix A8. (Appendix A10) The derivation means derives, from among the plurality of second users, a user who can contribute to the analysis of the factor as the factor-related information. A health management support device according to appendix A8 or A9. (Appendix A11) The derivation means derives a countermeasure for the cause as the cause-related information. A health management support device according to any one of appendices A1 to A10. (Appendix A12) The system further includes a third acquisition means for acquiring meal history information indicating a history of meal contents of the first user, The derivation means derives the factor-related information by taking into account the meal history information. A health management support device according to any one of appendices A1 to A11. (Appendix B1) an authentication terminal for performing personal authentication of a user; a health management support device; The health management support device includes: a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including a personal authentication result and an authentication location of the first user by the authentication terminal; a derivation means for deriving factor-related information relating to factors that have influenced the health state of the first user based on the basic health information and the authentication history information; A health management support system equipped with: (Appendix B2) The derivation means The factor-related information is derived based on an authentication location corresponding to a specific authentication time included in the authentication history information and the basic health information corresponding to the specific authentication time. A health management support system as described in Appendix B1. (Appendix C1) The computer Acquire basic health information of the first user measured by a measurement terminal worn by the first user; acquiring authentication history information including a personal authentication result and an authentication location of the first user; Deriving factor-related information regarding factors that have influenced the health state of the first user based on the basic health information and the authentication history information. Health management support method. (Appendix D1) a first acquisition process for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquisition process for acquiring authentication history information including a personal authentication result and an authentication location of the first user; a derivation process for deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; A non-transitory computer-readable medium storing a health management support program that causes a computer to execute the above.

[0083] Although the present invention has been described above with reference to the embodiments (and examples), the present invention is not limited to the above-described embodiments (and examples). Various modifications that can be understood by those skilled in the art can be made to the configuration and details of the present invention within the scope of the present invention. [Explanation of symbols]

[0084] 1 Health management support device 11 First Acquisition Section 12 Second Acquisition Section 13 Derivation part 1000 Health Management Support System N Network U User U1 User U2 users U3 users UA administrator 200 facilities 210 Area 220 Area 300 Management terminal 110 Measuring Terminal 110-1 Measuring terminal 110-2 Measuring terminal 110-3 Measuring terminal 120 Authentication Terminal 120-1 Authentication terminal 120-2 Authentication terminal 400 Authentication Device 410 Face Information DB 411 User ID 412 Facial Feature Information 420 Face detection unit 430 Feature Point Extraction Unit 440 Registration Department 450 Authentication Department 500 Health management support equipment 510 Storage section 511 Program 512 User Information 5121 User ID 5122 Personal Information 5123 Measurement device ID 513 Authentication terminal information 5131 Authentication Terminal ID 5132 Installation location 514 Basic health information 5141 User ID 5142 Measurement time 5143 Measurement Information 515 Authentication history information 5151 User ID 5152 Authentication Time 5153 Certification Location 520 memory 530 Communications Department 540 Control Unit 541 Acquisition Department 542 Registration Department 543 Derivation part 544 Output Section

Claims

1. a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including a personal authentication result and an authentication location of the first user related to biometric authentication by an authentication terminal installed in an area of ​​the facility where the first user is present; a derivation means for deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; Equipped with The derivation means derives the factor-related information by taking into account the authentication history information of a plurality of second users. Health management support device.

2. The derivation means The factor-related information is derived based on an authentication location corresponding to a specific authentication time included in the authentication history information and the basic health information corresponding to the specific authentication time. The health management support device according to claim 1 .

3. The derivation means The factor-related information is derived based on the transition of the authentication location for each authentication time from the authentication history information and the transition of the basic health information for each authentication time. The health management support device according to claim 1 or 2.

4. The derivation means Deriving a time period or a place that may have affected the health condition of the first user as the factor-related information. The health care support device according to claim 3 .

5. The derivation means Calculating time information related to the work of the first user from the authentication history information; The factor-related information is derived based on the time information and the transition of the basic health information. The health management support device according to claim 1 or 2.

6. The derivation means Deriving the behavior of the first user as the factor-related information. The health care support device according to claim 5 .

7. The derivation means Identifying a time period in which the basic health information satisfies a predetermined condition; Deriving the factor-related information based on the authentication history information corresponding to the identified time period. The health management support device according to any one of claims 1 to 6.

8. The derivation means derives, from among the plurality of second users, a user who may have influenced the health state of the first user as the factor-related information. The health management support device according to claim 1 .

9. The derivation means derives, from the plurality of second users, users who can contribute to the analysis of the factors as the factor-related information. The health management support device according to claim 1 or 8.

10. The derivation means derives a countermeasure for the cause as the cause-related information. The health management support device according to any one of claims 1 to 9.

11. The system further includes a third acquisition means for acquiring meal history information indicating a history of meal contents of the first user, The derivation means derives the factor-related information by taking into account the meal history information. The health management support device according to any one of claims 1 to 10.

12. an authentication terminal that is installed in an area of ​​the facility where the user is located and performs personal authentication of the user using biometric authentication; a health management support device; The health management support device includes: a first acquisition means for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquiring means for acquiring authentication history information including a result of personal authentication of the first user by the authentication terminal and an authentication location; a derivation means for deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; Equipped with The derivation means derives the factor-related information by taking into account the authentication history information of a plurality of second users. Health management support system.

13. The derivation means The factor-related information is derived based on an authentication location corresponding to a specific authentication time included in the authentication history information and the basic health information corresponding to the specific authentication time. The health care support system according to claim 12.

14. The computer Acquire basic health information of the first user measured by a measurement terminal worn by the first user; acquiring authentication history information including a personal authentication result and an authentication location of the first user relating to biometric authentication by an authentication terminal installed in an area of ​​the facility where the first user is located; deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; In deriving the factor-related information, the factor-related information is derived by taking into account the authentication history information of a plurality of second users. Health management support method.

15. a first acquisition process for acquiring basic health information of a first user measured by a measurement terminal worn by the first user; a second acquisition process for acquiring authentication history information including a personal authentication result and an authentication location of the first user related to biometric authentication by an authentication terminal installed in an area of ​​the facility where the first user is present; a derivation process for deriving factor-related information relating to factors that have affected the health state of the first user based on the basic health information and the authentication history information; on the computer, The derivation process derives the factor-related information by taking into account the authentication history information of a plurality of second users. Health management support program.

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