Information management apparatus, method of operating information management apparatus, and information management program

Abstract

To provide an information management apparatus, a method of operating the information management apparatus, and an information management program that can provide health data suited to a user's request without the need to randomly seek usage permissions.SOLUTION: A pseudo health data generation unit 20 outputs pseudo health data in which at least one piece of information among a plurality of pieces of information is generated in a pseudo manner in response to the input of request information requested by a user. A multifunction interface unit 21 performs user notification processing for notifying the user of the pseudo health data.SELECTED DRAWING: Figure 2

Description

Technical Field

[0001] The present invention relates to an information management device for managing health data obtained from health checkups and the like, a method for operating the information management device, and an information management program.

Background Art

[0002] Regarding health data obtained from health checkups and the like, depending on the research purpose and the like, it is being used by pharmaceutical companies, medical universities, and the like. For the use of already examined health data, users such as pharmaceutical companies need to obtain permission from the examinees. When obtaining permission, as shown in Patent Document 1, it is necessary to exclude the real name information of individuals so that individuals cannot be identified from the health data.

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] As described above, when using already examined health data, users can grasp what kind of data (data indicating health, data that may have a specific disease, etc.) only after obtaining the consent of the examinees for the use permission. Therefore, users have had to seek permission as they come across it in order to obtain health data that meets the requirements of users such as research.

[0005] An object of the present invention is to provide an information management device, a method for operating the information management device, and an information management program that can provide health data that meets the requirements of users without having to seek permission as they come across it.

Means for Solving the Problems

[0006] The information management device of the present invention has a processor. The processor outputs pseudo-health data in which at least some information is pseudo-generated in response to the input of requested information requested by a user among a plurality of pieces of information, and notifies the user of the pseudo-health data.

[0007] It is preferable that the pseudo-health data is pseudo-generated from information other than the requested information. The processor preferably accepts the selection of the pseudo-health data by the user and extracts actual health data similar to the selected pseudo-health data from among a plurality of actual health data. The processor preferably notifies the examinee of the actual health data of the request for permission to use.

[0008] The processor preferably refers to a storage unit that stores and associates the user with the pseudo-health data, and controls whether or not to extract the actual health data. When the pseudo-health data is selected by the user in the storage unit, the processor preferably extracts the actual health data, and when the pseudo-health data is selected by a user not associated in the storage unit, it is preferable not to extract the actual health data.

[0009] In the processor, it is preferable that when the requested information is input to the learning model learned using each piece of information, the pseudo-health data is output from the learning model. The information preferably has attribute information including at least any one of blood pressure, age, blood glucose level, uric acid level, or weight, and an index including at least any one of hypertension, metabolic syndrome, or diabetes.

[0010] The operation method of the information management device of the present invention includes a pseudo-health data generation step in which the processor outputs pseudo-health data in which at least some information is pseudo-generated in response to the input of requested information requested by a user among a plurality of pieces of information, and notifies the user of the pseudo-health data.

[0011] The information management program of the present invention causes a processor to execute a pseudo-data generation function that outputs pseudo-health data obtained by pseudo-generating at least any one of a plurality of pieces of information in response to an input of requested information requested by a user, and a user notification function that notifies the user of the pseudo-health data.

Advantages of the Invention

[0012] According to the present invention, it is possible to provide health data that meets the user's request without the need to seek a license every time it is used.

Brief Description of the Drawings

[0013]

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Embodiments for Carrying Out the Invention

[0014] As shown in FIG. 1, the information management system 10 includes a subject terminal device 12, an information management device 14, and a user terminal device 16. The subject terminal device 12 is used for collecting data obtained from subjects such as examinees of health check-ups, and transmits or receives various data by performing two-way notifications with the information management device 14. The information management device 14 receives the actual health data output from the subject terminal device 12 and performs various processes on the received actual health data. Further, the information management device 14 is used for the utilization of actual health data in pharmaceutical companies, universities, etc., and transmits or receives various data by performing two-way communication with the user terminal device 16.

[0015] Note that the actual health data refers to data related to an individual's health and medical conditions measured by hospitals, health check-up centers, or devices owned by individuals. Examples of actual examination data include vital data such as blood pressure and heart rate measured by an individual, life logs such as diet and exercise, as well as the results of health check-ups (medical check-ups) measured based on company or national systems, and medical records at hospitals.

[0016] As shown in FIG. 2, the information management device 14 includes a pseudo health data generation unit 20, a multifunctional interface unit 21, a user management storage unit 24 (storage unit), and a health data accumulation unit 26. An information management program for performing various processes is stored in a program memory 28 in the information management device 14. By a processor 30 provided in the information management device 14 reading and executing the program in the program memory 28, the functions of the pseudo health data generation unit 20 (pseudo health data generation function) and the multifunctional interface unit 21 (a plurality of functions including a user notification function) are realized. Note that the multifunctional interface unit 21 is preferably configured by an API (Application Programming Interface) server or the like.

[0017] The pseudo-health data generation unit 20 outputs pseudo-health data obtained by pseudo-generating at least any one of a plurality of pieces of information including health data in response to an input of requested information requested by a user. The input of the requested information is performed by the user terminal device 16. Specifically, as shown in FIG. 3, when requested information is input from the user terminal device 16 to the information management device 14 (process X1), the multifunctional interface unit 21 outputs the input requested information to the pseudo-health data generation unit 20 (process X2). The pseudo-health data generation unit 20 generates pseudo-health data from the requested information. The generated pseudo-health data is output to the multifunctional interface unit 21.

[0018] Then, the multifunctional interface unit 21 performs a user notification process of notifying the user operating the user terminal device 16 of the pseudo-health data (process X3). Further, the pseudo-health data is stored in the user management storage unit 24 in association with the user (process X4). Note that in the user management storage unit 24, the user and the pseudo-health data are stored in association with each other using user-related information such as a user ID.

[0019] Note that the information included in the actual health data or pseudo-health data preferably has attribute information including at least any one of blood pressure, age, blood glucose level, uric acid level, or weight, and an index including at least any one of hypertension, metabolic syndrome, or diabetes. The blood pressure preferably includes diastolic blood pressure and systolic blood pressure. For example, when it is required to generate pseudo-health data in the case where, among the requested information, the attribute information is male, 50 years old, the systolic blood pressure is 160, and the index is metabolic syndrome, as shown in FIG. 4(A), the information corresponding to the requested information is described, and the missing health data in which information other than the requested information is not described is input to the pseudo-health data generation unit 20. The pseudo-health data generation unit 20 predicts information other than the requested information based on the missing health data. As shown in FIG. 4(B), as information other than the requested information, a height of 170, a weight of 90, and a diastolic blood pressure of 100 are predicted. These predicted pieces of information become the information pseudo-generated by the pseudo-health data generation unit 20.

[0020] The pseudo-health data generation unit 20 is preferably a learning model that outputs pseudo-health data in response to the input of request information. The learning model is trained using each piece of information. Specifically, as shown in FIG. 5, the pseudo-health data generation unit 20 reads actual health data from the health data storage unit 26 that stores a large number of actual health data including attribute information. The pseudo-health data generation unit 20 performs learning using the read actual health data. When performing learning, it is preferable to perform learning using, in addition to the actual health data including attribute information, health data including both attribute information and indicators. For example, when performing learning using the actual health data of subjects A, B, and C who undergo a medical examination, for subjects A and C, only the attribute information is available, but for the actual health data of subject B, in addition to the attribute information, indicators analyzed as "metabolism" are added. Note that the health data storage unit 26 may be provided inside the information management device 14 or may be provided outside the information management device 14 in a state communicable with the information management device 14.

[0021] When the user terminal device 16 receives the pseudo-health data, it displays the received pseudo-health data on the display. Specifically, as shown in FIG. 6, a list of the received pseudo-health data is displayed on the display 34. In addition, each piece of pseudo-health data is provided with a check box 34a so that it can be selected by the user. The user selects the pseudo-health data by performing an operation of checking the check box 34a. In FIG. 6, among the pseudo-health data P, Q, and R, the pseudo-health data Q is selected. Information regarding the selection of the pseudo-health data is transmitted to the information management device 14.

[0022] As shown in FIG. 7, the multifunctional interface unit 21 performs an acceptance process (process Y1) for accepting the selection of pseudo health data from the user terminal device 16. When the acceptance process is performed, the multifunctional interface unit 21 refers to the health data storage unit 26 and performs an extraction process (process Y2) of extracting actual health data similar to the selected pseudo health data from among a plurality of actual health data. When the extraction process is performed, a permission request notification process is performed to notify the examinee of the extracted actual health data of the request for permission to use (process Y3). The target person terminal device 12 is used for the permission request notification process. Then, the multifunctional interface unit 21 outputs the actual health data for which permission to use has been obtained to the user terminal device 16 (process Y4).

[0023] Specifically, as shown in FIG. 8, when pseudo health data Q is selected by the user terminal device 16, the multifunctional interface unit 21 extracts actual health data Q1, Q2, Q3 similar to the pseudo health data B. Among the actual health data Q1, Q2, Q3, the actual health data Q1 for which permission to use has been obtained is output to the user terminal device 16.

[0024] Note that the multifunctional interface unit 21 may control whether to extract actual health data from the health data storage unit 26 by referring to the user management storage unit 24. Specifically, when the accepted pseudo health data is selected by a user associated in the user management storage unit 24, actual health data is extracted from the health data storage unit 26. On the other hand, when the accepted pseudo health data is selected by a user not associated in the user management storage unit 24, actual health data is not extracted from the health data storage unit 26. Note that the user management storage unit 24 may be provided inside the information management device 14, or may be provided outside the information management device 14 in a state communicable with the information management device 14.

[0025] For example, as shown in FIG. 9, when the pseudo-health data Q is stored in the user management memory unit 24 in association with the user M, if the pseudo-health data Q is selected by the user M, the actual health data Q1, Q2, Q3 similar to the pseudo-health data Q are extracted. In this case, it is preferable to display a message indicating that extraction is possible on the user terminal device 16. On the other hand, as shown in FIG. 10, when the pseudo-health data B is selected by the user N not associated with the pseudo-health data B, the extraction of the actual health data Q1, Q2, Q3 similar to the pseudo-health data Q is not performed. In this case, it is preferable to display a message indicating that extraction is impossible on the user terminal device 16.

[0026] Next, a series of processes of the method for generating pseudo-health data will be described with reference to the flowchart shown in FIG. 11. The user uses the user terminal device 16 to input the required information requested by the user. The input required information is output to the pseudo-health data generation unit 20 via the multifunctional interface unit 21. Accordingly, the pseudo-health data generation unit 20 outputs pseudo-health data obtained by pseudo-generating at least any one of the information in response to the input of the required information requested by the user among the plurality of information including health data (pseudo-health data output step). The output pseudo-health data is notified to the user via the multifunctional interface unit 21 and the user terminal device 16 (user notification step).

[0027] In the above-described embodiment, the hardware structure of the processing unit that executes various processes such as the pseudo-health data generation unit 20 and the multifunctional interface unit 21 is various processors as shown below. The various processors include a CPU (Central Processing Unit), which is a general-purpose processor that executes software (program) and functions as various processing units, a GPU (Graphical Processing Unit), a programmable logic device (PLD) such as an FPGA (Field Programmable Gate Array), which is a processor whose circuit configuration can be changed after manufacturing, and an application-specific electric circuit, which is a processor having a circuit configuration designed specifically for executing various processes.

[0028] One processing unit may be composed of one of these various processors, or may be composed of a combination of two or more processors of the same type or different types (for example, a plurality of FPGAs, a combination of a CPU and an FPGA, or a combination of a CPU and a GPU, etc.). Also, a plurality of processing units may be composed of one processor. As an example of configuring a plurality of processing units with one processor, first, as represented by a computer such as a client or a server, one processor is configured by a combination of one or more CPUs and software, and this processor functions as a plurality of processing units. Second, as represented by a System On Chip (SoC), there is a form in which a processor that realizes the functions of an entire system including a plurality of processing units with one IC (Integrated Circuit) chip is used. Thus, the various processing units are configured using one or more of the above various processors as a hardware structure.

[0029] Furthermore, the hardware structure of each of these various processors is, more specifically, an electrical circuitry in the form of a combination of circuit elements such as semiconductor elements. Also, the hardware structure of the storage unit is a storage device such as an HDD (hard disc drive) or an SSD (solid state drive).

Explanation of Reference Signs

[0030] 10 Information management system 12 Target person terminal device 14 Information management device 16 User terminal device 20 Pseudo health data generation unit 21 Multi-functional interface unit 24 User management storage unit (storage unit) 26 Health data storage unit 28 Program memory 30 Processor 34 Display 34a Check box

Claims

1. An information management device having a processor, wherein the processor outputs pseudo-health data in which at least some of the information is pseudo-generated in response to the input of requested information requested by a user among a plurality of pieces of information, and notifies the user of the pseudo-health data.

2. The information management device according to claim 1, wherein the pseudo-health data has information other than the requested information pseudo-generated.

3. The processor receives a selection of the pseudo-health data by the user, and extracts actual health data similar to the selected pseudo-health data from among a plurality of actual health data. The information management device according to claim 1.

4. The processor notifies the subject of the actual health data of a request for permission to use it. The information management device according to claim 3.

5. The processor refers to a storage unit that stores the pseudo-health data in association with the user, and controls whether to extract the actual health data. The information management device according to claim 3.

6. The processor extracts the actual health data when the pseudo-health data has been selected by the user in the storage unit, and does not extract the actual health data when the pseudo-health data has been selected by a user not associated in the storage unit. The information management device according to claim 5.

7. The processor notifies the subject of the actual health data of a request for permission to use it when the actual health data has been extracted. The information management device according to claim 5.

8. In the processor, when the requested information is input to a learning model learned using each piece of information, pseudo-health data is output from the learning model. The information management device according to claim 1.

9. The information includes attribute information including at least any one of blood pressure, age, blood glucose level, uric acid level, or weight, and an index including at least any one of hypertension, metabolic syndrome, or diabetes. The information management device according to any one of claims 1 to 8.

10. A method of operating an information management device, the processor outputting pseudo-health data in which at least some of the information is pseudo-generated in response to the input of requested information requested by a user among a plurality of pieces of information, and notifying the user of the pseudo-health data.

11. A pseudo-data generation function that outputs pseudo-health data obtained by pseudo-generating at least any one of a plurality of pieces of information in response to an input of requested information requested by a user, and An information management program that causes a processor to execute a user notification function for notifying the user of the pseudo-health data.

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