Information processing system and information processing method

Abstract

To improve the accuracy of an index value indicating a state of a person's health.SOLUTION: A healthy and active age system 24 that stores, on the basis of attribute information of a first attribute group related to a person, a death risk model that outputs a death risk score indicating the magnitude of the risk that the person dies within a first period, and stores, on the basis of attribute information of a second attribute group related to the person, a hospitalization risk model that outputs a hospitalization risk score indicating the magnitude of the risk that the person is hospitalized within a second period. The healthy and active age system 24 acquires attribute information related to a subject. The healthy and active age system 24 calculates a death risk score of the subject on the basis of attribute information of a first attribute group related to the subject and a death risk model and calculates a hospitalization risk score of the subject on the basis of attribute information of a second attribute group related to the subject and a hospitalization risk model. The healthy and active age system 24 calculates an index value indicating the state of the subject's health on the basis of the death risk score and the hospitalization risk score of the subject.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present disclosure relates to data processing technology, and more particularly to an information processing system and an information processing method. [Background technology]

[0002] The following Patent Document 1 proposes a health information providing system that determines a health age, which is an index showing the degree of health of a user, from the results of a health checkup the user has undergone, in accordance with a predetermined index determination model. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent No. 6265356 Summary of the Invention [Problem to be solved by the invention]

[0004] There is a demand for improved accuracy in index values ​​that indicate a person's health condition. One object of the disclosure is to provide a technology for improving the accuracy of index values ​​that indicate a person's health condition. [Means for solving the problem]

[0005] In order to solve the above problem, an information processing system of one embodiment of the present disclosure includes a memory unit that stores a mortality risk model that accepts input of attribute information of a first attribute group related to a person and outputs a mortality risk score indicating the level of risk that the person will die within a first period of time, and a hospitalization risk model that accepts input of attribute information of a second attribute group related to a person and outputs a hospitalization risk score indicating the level of risk that the person will be hospitalized within a second period of time, an acquisition unit that acquires attribute information related to a subject, and a calculation unit that calculates the subject's mortality risk score based on the attribute information of the first attribute group related to the subject and the mortality risk model, calculates the subject's hospitalization risk score based on the attribute information of the second attribute group related to the subject and the hospitalization risk model, and calculates an index value indicating the subject's health condition based on the subject's mortality risk score and hospitalization risk score.

[0006] Another aspect of the present disclosure is an information processing method, in which a computer that can access a memory unit that stores a mortality risk model that accepts input of attribute information of a first attribute group related to a person and outputs a mortality risk score indicating the magnitude of the risk that the person will die within a predetermined period of time and a hospitalization risk model that accepts input of attribute information of a second attribute group related to the person and outputs a hospitalization risk score indicating the magnitude of the risk that the person will be hospitalized within a predetermined period of time executes the following steps: acquiring attribute information about a subject; calculating the mortality risk score of the subject based on the attribute information of the first attribute group related to the subject and the mortality risk model, calculating the hospitalization risk score of the subject based on the attribute information of the second attribute group related to the subject and the hospitalization risk model, and calculating an index value indicating the subject's health state based on the mortality risk score and the hospitalization risk score of the subject.

[0007] Any combination of the above components, or conversion of the expression of the present disclosure between an apparatus, a computer program, a recording medium storing a computer program, etc., is also valid as an aspect of the present disclosure. [Effects of the Invention]

[0008] According to the technology of the present disclosure, the accuracy of index values ​​indicating a person's health condition can be improved. [Brief explanation of the drawings]

[0009] [Figure 1] 1 is a diagram illustrating a configuration of a communication system according to an embodiment. [Figure 2] FIG. 2 is a block diagram showing functional blocks of the healthy age system of FIG. 1. [Figure 3] FIG. 3(A) is a diagram showing an example of a death risk conversion table, and FIG. 3(B) is a diagram showing an example of a hospitalization risk conversion table. [Figure 4] 10 is a flowchart showing the operation of the healthy age system. [Figure 5] FIG. 10 is a diagram illustrating an example of a health ranking table. [Figure 6] FIG. 10 is a diagram showing an example of a health report. [Figure 7] FIG. 10 is a diagram showing an example of a health report. DETAILED DESCRIPTION OF THE INVENTION

[0010] In the embodiments, a technology for calculating and providing a subject's "healthy age" is proposed. Healthy age is an index value that indicates the subject's health condition in the form of age and is an index value that combines the subject's risk of death and hospitalization. For example, if the subject's health condition is equivalent to the average health condition of people of the same age, the subject's healthy age will be the same as their actual age. If the subject's health condition is better than the average health condition of people of the same age, the subject's healthy age will be smaller than their actual age. If the subject's health condition is worse than the average health condition of people of the same age, the subject's healthy age will be larger than their actual age. The subject in the embodiments is a customer of an insurance company, for example, a subscriber to life insurance or medical insurance. A user of the healthy age system is a person who wishes to obtain information about the subject's healthy age, and may be, for example, the subject himself / herself, an employee of an insurance company, or an insurance agent.

[0011] 1 shows the configuration of a communication system 10 according to an embodiment. The communication system 10 includes a plurality of user terminals 12, a front desk system 14, a medical checkup DB 16, a payment history DB 18, a healthy age calculation system 20, and a healthy age DB 22. In the embodiment, the front desk system 14, the medical checkup DB 16, the payment history DB 18, the healthy age calculation system 20, and the healthy age DB 22 are systems or devices of a life insurance company.

[0012] Each of the systems and devices shown in FIG. 1 may be realized by a single computer or multiple computers. The computers constituting each of the systems and devices shown in FIG. 1 are connected to each other via a communication network, such as a LAN, a WAN, or the Internet. The computer includes hardware such as a memory into which programs are loaded, one or more processors (e.g., CPUs) that execute the loaded programs, auxiliary storage devices, and other LSIs. The processor is composed of multiple electronic circuits, including semiconductor integrated circuits and LSIs, and the multiple electronic circuits may be mounted on a single chip or on multiple chips.

[0013] The multiple user terminals 12 include user terminal 12a, user terminal 12b, and user terminal 12c. Each of the multiple user terminals 12 is an information terminal operated by a user of the healthy age system. Each of the multiple user terminals 12 may be a PC, a tablet terminal, or a smartphone.

[0014] The front system 14 is an information processing system that provides the user terminal 12 with a web page of a health information report (hereinafter also referred to as a "health report") including the subject's healthy age.

[0015] The health check DB 16 is a database server that stores and accumulates information related to health checkups of multiple subjects (hereinafter also referred to as "health checkup information"). The health checkup information includes the results of the health checkups, in other words, the values ​​of multiple items measured or tested in the health checkups. Specifically, the health checkup information includes values ​​related to seven items: BMI (Body Mass Index), blood pressure, urinary sugar, urinary protein, lipids, liver function, and glucose metabolism. In addition to the health checkup information, the health checkup DB 16 also stores basic attributes of the subjects, including gender and age, and smoking status information indicating whether the subjects are habitual smokers.

[0016] The payment history DB18 is a database server that stores and accumulates payment history information indicating the payment of benefits or insurance money to each of multiple subjects, which is registered in advance from an external device (not shown). The external device may be, for example, a device that manages the payment of benefits and insurance money. The payment history information includes the reason for the payment of benefits or insurance money, and specifically includes information indicating the illnesses suffered by each subject.

[0017] The healthy age calculation system 20 is an information processing system that calculates the healthy age of each of a plurality of subjects. The healthy age DB 22 is a database server that stores and accumulates information about the healthy age of each of a plurality of subjects calculated by the healthy age calculation system 20.

[0018] In the embodiment, the front system 14, the healthy age calculation system 20, and the healthy age DB 22 cooperate to form a healthy age system 24. The healthy age system 24 is an information processing system that calculates the healthy age of a subject and provides a user with information about the subject's healthy age.

[0019] Figure 2 is a block diagram showing the functional blocks of the healthy aging system 24 in Figure 1. Each block shown in the block diagram in this specification can be realized in terms of hardware by elements such as a computer processor, CPU, and memory, electronic circuits, and mechanical devices, and in terms of software by a computer program, etc., but here, functional blocks realized by the cooperation of these elements are depicted. Therefore, it will be understood by those skilled in the art that these functional blocks can be realized in various ways by combining hardware and software.

[0020] The healthy age system 24 includes a processing unit 30, a storage unit 32, and a communication unit 34. The processing unit 30 executes various data processing operations. The processing unit 30 may be realized by a processor of a computer that constitutes the front system 14, the healthy age calculation system 20, and the healthy age DB 22. The storage unit 32 stores data that is referenced or updated by the processing unit 30. The storage unit 32 may be realized by storage or memory of a computer that constitutes the front system 14, the healthy age calculation system 20, and the healthy age DB 22.

[0021] The communication unit 34 communicates with external devices according to a predetermined communication protocol. The communication unit 34 may be realized by the communication functions of the computers that make up the front system 14, the healthy age calculation system 20, and the healthy age DB 22. The processing unit 30 transmits and receives data to and from the user terminal 12, the health check DB 16, and the payment history DB 18 via the communication unit 34.

[0022] The storage unit 32 includes a model storage unit 40, a standard risk score storage unit 42, a conversion table storage unit 44, and a healthy age storage unit 46. Of these, the model storage unit 40, the standard risk score storage unit 42, and the conversion table storage unit 44 may be provided in the healthy age calculation system 20. The healthy age storage unit 46 may be provided in the healthy age DB 22.

[0023] The model storage unit 40 stores a mortality risk model and a hospitalization risk model. The mortality risk model is a mathematical model (a formula in an embodiment) that accepts input of attribute information of a first attribute group related to a certain person and evaluates the mortality risk of that person. As a result of evaluating the mortality risk of a certain person, the mortality risk model outputs a mortality risk score that indicates the magnitude of the risk (probability in an embodiment) that the person will die within a predetermined first period.

[0024] The hospitalization risk model is a mathematical model (in an embodiment, a formula) that accepts input of attribute information of a second attribute group related to a certain person and evaluates the hospitalization risk of that person. As a result of evaluating the hospitalization risk of a certain person, the hospitalization risk model outputs a hospitalization risk score that indicates the magnitude of the risk (in an embodiment, the probability) that the person will be hospitalized within a predetermined second period.

[0025] The first and second time periods may be the same or different. In one embodiment, the first and second time periods are both three years. In one embodiment, the mortality risk score can be interpreted as the probability that the subject will die within three years. In another embodiment, the hospitalization risk score can be interpreted as the probability that the subject will be hospitalized within three years.

[0026] The attribute information of the first attribute group may be referred to as attribute information of a first category and includes attribute information of multiple items. The attribute information of the second attribute group may be referred to as attribute information of a second category and includes attribute information of multiple items. The attribute information of the first attribute group and the attribute information of the second attribute group may differ in at least some items. Furthermore, the attribute information of the first attribute group and the attribute information of the second attribute group may be attribute information of the same item, in other words, they may be the same attribute information.

[0027] In an embodiment, the attribute information of the first attribute group and the attribute information of the second attribute group both include (1) basic attributes including gender and age, (2) seven items of health check information, (3) smoking status, and (4) medical history. (2) The seven items of health check information include values ​​for BMI, blood pressure, urinary glucose, urinary protein, lipids, liver function, and glucose metabolism. (4) Medical history, which can also be referred to as medical history, is information indicating whether or not a person has contracted each of a predetermined number of diseases (e.g., 54 types).

[0028] The mortality risk model and hospitalization risk model are each created by known machine learning based on a large amount of data including both explanatory variables and dependent variables. This machine learning derives a formula for calculating the probability of an event corresponding to the dependent variable occurring from the explanatory variables, and may be, for example, regression analysis.

[0029] The explanatory variables of the mortality risk model are attribute information of the first attribute group. In the embodiment, the explanatory variables of the mortality risk model include (1) basic attributes including gender and age, (2) seven items of health check information, (3) smoking status, and (4) medical history. The objective variable of the mortality risk model is a value indicating whether or not a person has died, and is set to, for example, "1" if the person has died and "0" if the person has survived.

[0030] The explanatory variables of the hospitalization risk model are attribute information of the second attribute group. In the embodiment, the explanatory variables of the hospitalization risk model, like the explanatory variables of the mortality risk score, include (1) basic attributes including gender and age, (2) seven items of health check information, (3) smoking status, and (4) medical history. The objective variable of the hospitalization risk model is a value indicating whether or not hospitalization has occurred, and is set to, for example, "1" if hospitalization has occurred and "0" if hospitalization has not occurred.

[0031] One side of the mortality risk model may be a mortality risk score, and one side of the hospitalization risk model may be a hospitalization risk score. The other side of the mortality risk model and the hospitalization risk score model may include multiple functions corresponding to multiple parameters, such as a function into which age is input and a function into which BMI is input.

[0032] In the embodiment, a plurality of disease-specific hospitalization risk models corresponding to a plurality of types of diseases are provided. That is, the model storage unit 40 stores a plurality of disease-specific hospitalization risk models. The plurality of disease-specific hospitalization risk models include six models corresponding to cancer, heart disease, cerebrovascular disease, diabetes, kidney, pancreas, and liver disease, and other diseases. Each of the plurality of disease-specific hospitalization risk models calculates a risk score (in the embodiment, a probability) of hospitalization due to the corresponding disease. Hereinafter, for convenience of explanation, the sum of the risk scores calculated by the plurality of disease-specific hospitalization risk models may be simply referred to as the "hospitalization risk score."

[0033] The standardized risk score storage unit 42 stores a standardized mortality risk score and a standardized hospitalization risk score for each combination of gender and age. The combinations of gender and age include a 35-year-old male, a 35-year-old female, a 36-year-old male, and a 36-year-old female. For example, the standardized mortality risk score for a 35-year-old male may be the median value in a population of 35-year-old males for mortality risk scores calculated using a mortality risk model for 35-year-old males. Furthermore, the standardized hospitalization risk score for a 35-year-old male may be the median value in a population of 35-year-old males for hospitalization risk scores (the sum of the output values ​​of each model) calculated using multiple disease-specific hospitalization risk models for 35-year-old males. Alternatively, an average value may be used instead of the above median value.

[0034] The conversion table storage unit 44 stores a predetermined mortality risk conversion table and a hospitalization risk conversion table. The mortality risk conversion table is a table that associates a subject's mortality risk index based on the subject's mortality risk score with an age to be added or subtracted from the subject's actual age (hereinafter also referred to as "age to be added or subtracted"). It is also a table for converting the mortality risk index into an age to be added or subtracted. The mortality risk index of a subject is the ratio of the subject's mortality risk score to the standard mortality risk score for a person of the same sex and age as the subject. Figure 3(A) shows an example of a mortality risk conversion table. In the mortality risk conversion table of Figure 3(A), when the mortality risk index is "1.031", "±0 years" is selected as the age to be added or subtracted.

[0035] The hospitalization risk score conversion table is a table that associates a subject's hospitalization risk index based on the subject's hospitalization risk score with the subject's actual age by adding or subtracting age, and is a table for converting the hospitalization risk index into the age by adding or subtracting age. The subject's hospitalization risk index is the ratio of the subject's hospitalization risk score to the standard hospitalization risk score for a person of the same sex and age as the subject. Figure 3(B) shows an example of the hospitalization risk conversion table. In the hospitalization risk conversion table of Figure 3(B), if the hospitalization risk index is "1.122", "+3 years" is selected as the age by adding or subtracting age.

[0036] Returning to FIG. 2, the healthy age storage unit 46 stores information relating to the healthy ages of multiple subjects (hereinafter also referred to as "healthy age-related information"). The healthy age-related information for each subject includes the subject's ID, actual age, healthy age, and ranking, as well as the time series trends of these values. For example, the healthy age storage unit 46 stores the healthy age-related information for each subject for each year, which is generated based on the health checkup information for each subject for each year.

[0037] The processing unit 30 includes a subject information acquisition unit 50, a healthy age calculation unit 52, a healthy age report generation unit 54, and a healthy age report provision unit 56. Functions corresponding to the multiple functional blocks of the processing unit 30 may be implemented in a computer program. This computer program may be installed in the storage of a computer constituting the healthy age system 24. The processor of the computer constituting the healthy age system 24 may perform the functions corresponding to the multiple functional blocks by reading this computer program into main memory and executing it. Note that the subject information acquisition unit 50 and the healthy age calculation unit 52 may be provided in the healthy age calculation system 20. The health report generation unit 54 and the health report provision unit 56 may be provided in the front system 14.

[0038] The subject information acquisition unit 50 acquires attribute information of a first attribute group and attribute information of a second attribute group, which are attribute information related to the subject whose active lifestyle is to be calculated and are required for calculating the active lifestyle. As described above, in the embodiment, the attribute information of the first attribute group required for calculating the mortality risk score is the same as the attribute information of the second attribute group required for calculating the hospitalization risk score. The subject information acquisition unit 50 acquires the subject's basic attributes, health check information, and smoking status information stored in the health check DB 16 as the attribute information of the first attribute group and the attribute information of the second attribute group.

[0039] Furthermore, the subject information acquisition unit 50 acquires, as attribute information of the subject, payment history information of benefits or insurance payments to the subject stored in the payment history DB 18. The subject information acquisition unit 50 extracts, as the subject's illness history, information indicating diseases suffered by the subject, which is included in the acquired payment history information.

[0040] The healthy age calculation unit 52 calculates the mortality risk score of the subject based on the attribute information of the first attribute group among the attribute information on the subject acquired by the subject information acquisition unit 50 and the mortality risk model stored in the model storage unit 40. The healthy age calculation unit 52 calculates the hospitalization risk score of the subject based on the attribute information of the second attribute group among the attribute information on the subject acquired by the subject information acquisition unit 50 and the hospitalization risk model stored in the model storage unit 40.

[0041] The healthy age calculation unit 52 calculates the healthy age of the subject based on the subject's mortality risk score and hospitalization risk score. The healthy age calculation unit 52 calculates the subject's ranking in a group of people of the same generation based on the subject's healthy age. The healthy age calculation unit 52 stores healthy age-related information including the subject's actual age, healthy age, and ranking in the healthy age storage unit 46.

[0042] The health report generation unit 54 and the health report provision unit 56 function as a provision unit that provides the subject's health age calculated by the health age calculation unit 52 to an external device. In the embodiment, the health report generation unit 54 generates health report data for the subject including information about the subject's health age based on a request transmitted from the user terminal 12. The health report provision unit 56 transmits the health report data for the subject to the user terminal 12 that issued the request.

[0043] 4 is a flowchart showing the operation of the healthy age system 24. The operation of the healthy age system 24 will be described below with reference to FIG.

[0044] Each of the multiple insureds submits his or her own health check information to the insurance company. The health check information of the multiple insureds submitted to the insurance company is stored in the health check DB 16. The health check DB 16 also stores basic attributes and smoking status information provided in advance by each insured. Furthermore, when the insurance company pays benefits or insurance claims to each of the multiple insureds, payment history information including the reason for payment is accumulated in the payment history DB 18.

[0045] When it is time to calculate the healthy age of a certain insured person (hereinafter referred to as "subject") (Y in S10), the subject information acquisition unit 50 of the healthy age system 24 detects this. For example, when new health check information is stored in the health check DB 16, the subject information acquisition unit 50 of the healthy age system 24 may notify the health check system 24 of information on the insured person corresponding to the new health check information. When health check information of a certain insured person is stored in the health check DB 16, the subject information acquisition unit 50 of the healthy age system 24 may detect that it is time to calculate the healthy age of the insured person.

[0046] The subject information acquisition unit 50 of the healthy age system 24 acquires the subject's basic attributes, health check information, and smoking status from the health check DB 16. The subject information acquisition unit 50 also acquires payment history information for benefits or insurance payments to the subject from the payment history DB 18, and extracts the subject's medical history information from the acquired payment history information (S12).

[0047] In S12, for example, if payment information for benefits or insurance money due to the patient having cancer is recorded in the payment history DB 18, the subject information acquisition unit 50 acquires medical history information indicating that the patient has a history of cancer. Also, if payment information for benefits or insurance money due to the patient having diabetes is not recorded in the payment history DB 18, the subject information acquisition unit 50 acquires medical history information indicating that the patient has no history of diabetes.

[0048] The healthy age calculation unit 52 of the healthy age system 24 reads out the mortality risk model stored in the model storage unit 40, inputs the subject's basic attributes, health check information, smoking status, and medical history information obtained in S12 into the explanatory variable items of the mortality risk model, and obtains the subject's mortality risk score output from the mortality risk model.

[0049] Furthermore, the healthy age calculation unit 52 reads out the six disease-specific hospitalization risk models stored in the model storage unit 40, inputs the subject's basic attributes, health check information, smoking status, and medical history information acquired in S12 into the explanatory variable items of each model, and acquires the score output from each model. The healthy age calculation unit 52 acquires the total value of the scores output from the six disease-specific hospitalization risk models as the subject's hospitalization risk score (S14).

[0050] The healthy age calculation unit 52 obtains, as the subject's death risk index, the result of dividing the subject's death risk score obtained in S14 by the standard death risk score for a person of the same sex and age as the subject stored in the standard risk score storage unit 42. The healthy age calculation unit 52 also obtains, as the subject's hospitalization risk index, the result of dividing the subject's hospitalization risk score obtained in S14 by the standard hospitalization risk score for a person of the same sex and age as the subject stored in the standard risk score storage unit 42 (S16).

[0051] For example, suppose the subject is a 35-year-old male, with a mortality risk score of 0.1122% and a hospitalization risk score of 8.7006%. Furthermore, suppose the standard mortality risk score for 35-year-old males is 0.1083% and the standard hospitalization risk score for 35-year-old males is 7.7530%. In this case, the subject's mortality risk index is 1.031 (= 0.1122% / 0.1083%), and the subject's hospitalization risk index is 1.122 (= 8.7006% / 7.7530%).

[0052] The healthy age calculation unit 52 refers to the mortality risk conversion table stored in the conversion table storage unit 44 to identify the added / subtracted age (hereinafter also referred to as the "mortality risk added / subtracted age") corresponding to the mortality risk index of the subject. Furthermore, the healthy age calculation unit 52 refers to the hospitalization risk conversion table stored in the conversion table storage unit 44 to identify the added / subtracted age (hereinafter also referred to as the "hospitalization risk added / subtracted age") corresponding to the hospitalization risk index of the subject (S18).

[0053] For example, suppose the subject's mortality risk index is "1.031" and the subject's hospitalization risk index is "1.122." The mortality risk conversion table is the table shown in FIG. 3(A), and the hospitalization risk conversion table is the table shown in FIG. 3(B). In this case, the subject's mortality risk adjusted age is "±0 years," and the subject's hospitalization risk adjusted age is "+3 years."

[0054] The healthy age calculation unit 52 calculates the healthy age of the subject based on the subject's actual age, the death risk adjustment age, and the hospitalization risk adjustment age (S20). Specifically, the healthy age calculation unit 52 calculates the value obtained by adding the death risk adjustment age to the subject's actual age as the subject's healthy age at death. In addition, the healthy age calculation unit 52 calculates the value obtained by adding the hospitalization risk adjustment age to the subject's actual age as the subject's healthy age at hospitalization. The healthy age calculation unit 52 calculates the average value of the death health age and the hospitalization health age as the subject's healthy age.

[0055] For example, suppose a subject's actual age is 35, the mortality risk adjusted age is "±0 years," and the hospitalization risk adjusted age is "+3 years." In this case, the mortality age is "35 years" (=35+0), and the hospitalization risk adjusted age is "38 years" (=35+3). The subject's combined mortality age and hospitalization risk adjusted age are then calculated as "36 years" (=(35+38) / 2 (rounded down)).

[0056] Typically, the higher the mortality risk score, the higher the mortality risk index, the higher the mortality adjustment age, the higher the mortality healthy age, and the final healthy age will be greater than the chronological age. Similarly, the higher the hospitalization risk score, the higher the hospitalization risk index, the higher the hospitalization adjustment age, the higher the hospitalization healthy age, and the final healthy age will be greater than the chronological age. Conversely, the lower the mortality risk score, the lower the final healthy age will be. Similarly, the lower the hospitalization risk score, the lower the final healthy age will be less than the chronological age.

[0057] The healthy age calculation unit 52 calculates the health ranking of subjects of the same sex and age based on the subject's healthy age. The healthy age calculation unit 52 stores healthy age-related information including the subject's actual age, healthy age, and health ranking in the healthy age storage unit 46. As a variation, the healthy age calculation unit 52 may calculate the health ranking of the subject based on an index value different from the healthy age.

[0058] In this embodiment, the healthy age calculation unit 52 creates a tabulation table for each gender based on the healthy ages and actual ages of multiple subjects. The vertical axis of the tabulation table represents actual age, and the horizontal axis of the tabulation table represents healthy age. The healthy age calculation unit 52 sets the cumulative number of cases, starting from the smallest healthy age, in each field of the tabulation table (i.e., a certain item of each record).

[0059] For example, for each actual age in the aggregation table, the healthy age calculation unit 52 determines the health ranking of the healthy age corresponding to the cumulative number of healthy ages up to 1% (rounded up to the nearest decimal point) of the total number of cases as number 1. The healthy age calculation unit 52 determines the health ranking of the healthy age corresponding to the cumulative number of healthy ages up to 2% (rounded up to the nearest decimal point) of the total number of cases as number 2. The healthy age calculation unit 52 determines the health ranking of the healthy age corresponding to the cumulative number of healthy ages up to 3% (rounded up to the nearest decimal point) of the total number of cases as number 3. The healthy age calculation unit 52 repeats the same process. The healthy age calculation unit 52 determines the health ranking of the healthy age corresponding to the cumulative number of healthy ages from 98% to 99% (rounded up to the nearest decimal point) of the total number of cases as number 99. The healthy age calculation unit 52 determines the health ranking of the healthy ages after that as number 100. In other words, the healthy age calculation unit 52 calculates the percentile rank of each healthy age, from the smallest healthy age, for each actual age in the tally table as the health rank of each healthy age.

[0060] Based on the health ranking for each pair of actual age and healthy activity age, the healthy activity age calculation unit 52 generates a health ranking table in which the vertical axis represents actual age, the horizontal axis represents healthy activity age, and each field represents a health ranking. FIG. 5 shows an example of the health ranking table. The healthy activity age calculation unit 52 determines the numerical value at the position where the actual age and healthy activity age of a certain subject intersect in the health ranking table as the health ranking of the subject. In the example of FIG. 5, if the actual age of a certain subject is 19 years old and the healthy activity age is 18 years old, the healthy activity age calculation unit 52 determines the health ranking of the subject to be 8th.

[0061] The subject information acquisition unit 50 and the healthy age calculation unit 52 repeat the processes of S12 to S20 for each subject whose health check information is stored in the health check DB 16. If it is not time to calculate the healthy age (N in S10), the processes of S12 to S20 are skipped.

[0062] In response to a user's operation, the user terminal 12 transmits data requesting a health report for a certain subject to the health and age system 24 (front system 14). This data includes the ID of the subject who is the subject of the health report. The user requesting the health report may be the subject himself / herself who is the subject of the health report.

[0063] The health report generation unit 54 of the health age system 24 receives the request data for the health report transmitted from the user terminal 12 (Y of S22). The health report generation unit 54 acquires the health age-related information of the subject identified by the ID specified in the request data for the health report from the health age storage unit 46. The health report generation unit 54 generates data for the health report indicating the health age of the subject based on the acquired health age-related information (S24).

[0064] The health report providing unit 56 of the health and age system 24 transmits the web page data including the health report generated in S24 to the requesting user terminal 12 (S26). The requesting user terminal 12 displays the health report web page on its display. If the requested data for the health report is not accepted (N in S22), the processes of S24 and S26 are skipped.

[0065] FIG. 6 shows an example of a health report. The health report 60 includes the subject's health age, the difference from their actual age, and an age difference graph 62. The age difference graph 62 is a graph showing the change over time in the difference between their actual age and their health age. For example, the age difference graph 62 in FIG. 6 shows that the age difference in 2020 is -4 years (i.e., the health age is 4 years younger), the age difference in 2021 is -2 years, and the age difference in 2022 is -3 years. FIG. 7 also shows an example of a health report. The health report 60 further includes the subject's health ranking. Although not shown in FIG. 7, the health report 60 may further include the change over time in the health ranking. The subject can access the health report website using their smartphone to view their health age, health ranking, etc.

[0066] The healthy age system 24 of the embodiment calculates the healthy age of a subject based on both the mortality risk score and the hospitalization risk score of the subject, thereby enabling the subject's health condition to be accurately evaluated from the perspective of death and hospitalization, which are the major risks faced by people, and improving the accuracy of the index value indicating the subject's health condition.

[0067] Furthermore, the parameters used by the healthy age system 24 of the embodiment to calculate the mortality risk score and hospitalization risk score include the subject's medical history. This improves the accuracy of the subject's mortality risk score and hospitalization risk score. Furthermore, the healthy age system 24 of the embodiment acquires the subject's medical history based on the payment history of benefits or insurance payments to the subject. This prevents omissions in the subject's medical history.

[0068] The present disclosure has been described above based on the embodiments. The contents described in the embodiments are merely examples, and it will be understood by those skilled in the art that various modifications are possible in the combination of the components and processing steps of the embodiments, and that such modifications are also within the scope of the present disclosure.

[0069] A modified example will be described. The healthy age system 24 of the embodiment calculates the healthy age of the subject based on both the mortality risk score and the hospitalization risk score of the subject. However, as a modified example, the healthy age of the subject may be calculated based on either the mortality risk score or the hospitalization risk score of the subject. In this case, either the healthy age at death or the healthy age at hospitalization in the embodiment may be calculated as the subject's final healthy age.

[0070] Another modified example will be described. The mortality risk conversion table and the hospitalization risk conversion table may be provided for each gender and each age. In this case, the mortality risk conversion table may be a table that associates the mortality risk score with the adjusted mortality risk age, or the adjusted mortality risk age may be calculated directly from the mortality risk score without using the mortality risk index. The hospitalization risk conversion table may also be a table that associates the hospitalization risk score with the adjusted mortality risk age, or the adjusted mortality risk age may be calculated directly from the hospitalization risk score without using the hospitalization risk index.

[0071] Any combination of the above-described embodiments and modifications is also useful as an embodiment of the present disclosure. A new embodiment resulting from a combination combines the effects of the combined embodiments and modifications. It will also be understood by those skilled in the art that the functions to be performed by each component recited in the claims can be realized by each component shown in the embodiments and modifications alone or in combination. [Explanation of symbols]

[0072] 10 Communication system, 24 Healthy age system, 40 Model memory unit, 42 Standard risk score memory unit, 44 Conversion table memory unit, 46 Healthy age memory unit, 50 Subject information acquisition unit, 52 Healthy age calculation unit, 54 Healthy report generation unit, 56 Healthy report provision unit.

Claims

1. a mortality risk model that receives input of attribute information of a first attribute group related to a person's health condition and outputs a mortality risk score indicating the magnitude of the risk that the person will die within a first period; a hospitalization risk model that receives input of attribute information of a second attribute group related to a person's health condition and outputs a hospitalization risk score indicating the magnitude of the risk that the person will be hospitalized within a second period; and a memory unit that stores attribute information related to the subject's health condition and the subject's actual age; an acquisition unit that acquires attribute information related to the health condition of the subject and the actual age of the subject; a calculation unit, The calculation unit calculates a mortality risk score of the subject based on the attribute information regarding the health condition of the subject acquired by the acquisition unit and the mortality risk model, and calculates a hospitalization risk score of the subject based on the attribute information regarding the health condition of the subject acquired by the acquisition unit and the hospitalization risk model; The calculation unit calculates a result of comparing the mortality risk score of the subject with a standard mortality risk score of the same age as the actual age of the subject, which is stored in the memory unit and acquired by the acquisition unit, and calculates a mortality risk adjustment age corresponding to the comparison result based on a conversion rule stored in the memory unit; The calculation unit calculates a result of comparing the hospitalization risk score of the subject with a standard hospitalization risk score of the same age as the actual age of the subject, which is stored in the memory unit and acquired by the acquisition unit, and calculates a hospitalization risk adjustment age corresponding to the comparison result based on a conversion rule stored in the memory unit; the calculation unit calculates a first age by adjusting the actual age of the subject acquired by the acquisition unit based on the mortality risk adjusted age, calculates a second age by adjusting the actual age of the subject acquired by the acquisition unit based on the hospitalization risk adjusted age, and calculates an age as an index value indicating the health condition of the subject based on the first age and the second age. Information processing system.

2. At least one of the attribute information of the first attribute group and the attribute information of the second attribute group includes a disease history. The information processing system according to claim 1 .

3. The acquisition unit acquires the subject's disease history based on the payment history of benefits or insurance payments to the subject. The information processing system according to claim 2 .

4. a providing unit that provides an external device with the age calculated by the calculating unit as an index value indicating the health state of the subject, 4. The information processing system according to claim 1.

5. a death risk model that receives input of attribute information of a first attribute group related to a person's health condition and outputs a death risk score indicating the magnitude of the risk that the person will die within a predetermined period of time; a hospitalization risk model that receives input of attribute information of a second attribute group related to a person's health condition and outputs a hospitalization risk score indicating the magnitude of the risk that the person will be hospitalized within a predetermined period of time; and a computer that can access a storage unit that stores attribute information related to the health condition of a subject and the actual age of the subject; acquiring attribute information relating to the subject's health condition and the subject's actual age; Calculating a death risk score for the subject based on the attribute information on the subject's health condition acquired in the acquiring step and the death risk model, and calculating a hospitalization risk score for the subject based on the attribute information on the subject's health condition acquired in the acquiring step and the hospitalization risk model; A step of calculating a result of comparing the mortality risk score of the subject with a standard mortality risk score of the same age as the subject's actual age acquired in the acquiring step, which is stored in the storage unit, and calculating a mortality risk adjustment age corresponding to the comparison result based on the conversion rule stored in the storage unit; A step of calculating a result of comparing the hospitalization risk score of the subject with a standard hospitalization risk score for the same age as the subject's actual age acquired in the acquiring step, which is stored in the memory unit, and calculating a hospitalization risk adjusted age corresponding to the comparison result based on the conversion rule stored in the memory unit; calculating a first age by adjusting the actual age of the subject obtained in the obtaining step based on the mortality risk adjusted age, calculating a second age by adjusting the actual age of the subject obtained in the obtaining step based on the hospitalization risk adjusted age, and calculating an age as an index value indicating the health condition of the subject based on the first age and the second age; An information processing method that performs the above.

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