Health Incentive Support System

Abstract

To provide a system which can highly accurately support a fitness incentive of members of companies, health insurance associations, sport clubs and drugstores.SOLUTION: A fitness incentive support system for giving fitness points in association with fitness consciousness and action for each member comprises: an input unit which inputs member data; a recording unit which records and stores the member data such as personal information data, fitness information measurement data and life habit recording data of members, various information such as odds coefficients for fitness actions and weighting coefficients by risks, and a program and fitness point calculation program for analyzing weighing by the odds and risks for the fitness actions; a central arithmetic processing unit which has a first control part for calculating the fitness points by determining the odds and weighing for the member data input by the input unit by referring to the data in the recording unit; and a display unit which displays the fitness points, fitness action history and member data.SELECTED DRAWING: Figure 2

Description

[Technical field]

[0001] The present invention relates to a health management system for members of companies, health insurance associations, sports clubs, etc., and in particular to a health incentive support system for changing members' health awareness and behavior to promote health-consciousness by taking into account health checkup data, sports club usage, supplement use, etc. [Background technology]

[0002] Various organizations have implemented incentives such as health point systems as a means of encouraging behavioral change for healthier behavior, but the content of the incentives is almost always uniform and the incentives are limited to a small number of participants who are highly health conscious, so few measures are taken to suit the circumstances of individual members.

[0003] Non-Patent Document 1 indicates the standard of physical activity and exercise fitness that individuals should achieve in terms of "METs" values ​​in order to reduce the predicted future risks of "premature death," "contraction to lifestyle-related diseases," and "deterioration of daily functions." Collaborative health, in which health insurance companies and companies work together to promote the health of employees and their families, is also proposed, and benefits such as reduced medical costs are expected in return for investments in health promotion.

[0004] Examples of prior art disclosures relating to such support systems for health promotion and health management include Patent Document 1 and Patent Document 2.

[0005] Patent Document 1 discloses a health information display system that calculates and weights the health level of each item based on an individual's health-related data and preferences to induce behavioral change and display the effects of improvement efforts. Patent Document 2 discloses a health management support device that assigns points to each health data item and obtains evaluation information by weighting the points, for example, by age. [Prior art documents] [Patent documents]

[0006] [Patent Document 1] JP 2006-65752 A [Patent Document 2] JP 2006-127289 A [Non-patent literature]

[0007] [Non-Patent Document 1] Ministry of Health, Labor and Welfare, Health Information Site for Preventing Lifestyle-Related Diseases (e-Health Net) "Physical Activity Guidelines for Health Promotion 2013" Summary of the Invention [Problem to be solved by the invention]

[0008] Up until now, various proposals and numerous attempts have been made to improve the health of members of companies, health insurance associations, sports clubs, drug stores, etc., to improve lifestyle-related diseases and prevent metabolic syndrome. For example, menu suggestions to improve eating habits, walking events to relieve lack of exercise and stress, individual diet programs provided by nutritionists, introductions to supplements, etc., have been mentioned, but none of these can be said to have been sufficiently effective. In order to solve these problems, means for providing effective incentives, such as a point system as in the above-mentioned prior art, have been disclosed. However, these means are extremely uniform in nature, as they assign points based on health checkup data or on whether or not exercise is performed, or weight the points according to age groups. In other words, since weighting is not performed according to the effort results of each individual member, it is difficult to provide precise incentive support for each individual member. In addition, because the system is not tailored to individual organizations or groups such as companies, health insurance associations, sports clubs, or drugstores, it is extremely difficult to expect effects that are tailored to the characteristics of the members or benefits such as reduced medical costs in return for investments in health promotion.

[0009] The object of the present invention is to provide a system that can provide highly accurate support for health incentives set for specific members of each organization or group, such as members of companies, health insurance associations, sports clubs, and drug stores, to motivate them to promote health awareness and behavior in a focused manner. [Means for solving the problem]

[0010] In order to achieve the above-mentioned objectives, the health incentive support system of the present invention is characterized by calculating or arbitrarily setting an efficient investment allocation for the purpose of prioritizing the allocation of budgets for health promotion to target groups set from individual populations, such as members of companies, health insurance associations, sports clubs, and drug stores, and by providing focused motivation for health promotion to people who belong to high-risk groups, such as those suffering from lifestyle-related diseases (hyperlipidemia, hypertension, diabetes) and those at risk of developing such diseases.

[0011] In addition to daily health behavior, all related actions and activities that reflect the intentions of the organizer (each organization, group, etc.), such as various actions and activities that lead to health promotion, participation in educational seminars and experiential seminars, etc., can be eligible for additional points.It is possible to allocate points not only uniformly, but also in a prioritized manner that reflects the organizer's intentions for each element.

[0012] Furthermore, the health behavior and activities of each member are recorded as a universal health behavior and activity history, and are managed in addition to health data history such as vital signs (breathing, body temperature, blood pressure, pulse), providing parameters that can be used for calculating insurance rates, etc. Server-based systems and blockchain-based systems can be used as management systems for incentive points earned within each period and universal health behavior and activity history.

[0013] Representative configurations of the present invention are listed below. Note that, in order to facilitate understanding of the present invention, the configurations of the present invention are given the reference symbols used in the drawings of the embodiments described below, but the present invention is not limited to the configurations indicated by these reference symbols.

[0014] The present invention is a health incentive support system that promotes health awareness and behavioral change by using numerical values ​​based on the daily health data and health behavior of members, (1) A health incentive support system that promotes health awareness and behavioral change using numerical values ​​based on a member's health data and the member's health behavior, An input unit 1 for inputting member data such as personal information data of members, health information measurement data such as medical examination data and measurement data, and lifestyle habit record data; A recording unit 7 for recording and storing personal information data of members, health information measurement data, lifestyle record data, and other member data, various information such as odds coefficients and risk weighting coefficients for health behaviors, a program for analyzing odds and risk weighting for health behaviors, a health point calculation program, and the like; a central processing unit 3 including a first control unit which refers to data previously set and stored in a recording unit 7, judges whether a health behavior corresponding to the member data inputted by the input unit satisfies the conditions for being eligible for health points, judges odds coefficients and weighting coefficients for the health behaviors for which it has been judged that health points should be awarded, which are set in the recording unit, reflects the determined odds coefficients and weighting coefficients in the health points awarded for the health behaviors, and calculates odds and weighted health points; a display unit 4 for displaying the health points, health action history, and member data; The service is characterized by the fact that it awards health points according to each member's health awareness and behavior.

[0015] (2) The health points calculated by the central processing unit 3 are characterized in that the central processing unit 3 refers to the data set and stored in the recording unit 7, determines whether the health behavior corresponding to the member data inputted in the input unit satisfies the conditions for being eligible for bonus points to be awarded, and if it determines that bonus points should be awarded, calculates the health points by adding the bonus points to the health points.

[0016] (3) The central processing unit 3 further includes a machine learning control unit 3c, which analyzes odds and weightings from big data including the lifestyle habit record data of the recording unit 7 and the health information measurement data using machine learning and statistical methods including artificial intelligence, records the analysis results in the machine learning database of the recording unit 7, determines odds coefficients and weighting coefficients corresponding to the member data inputted by the input unit 1, and calculates health points.

[0017] (4) The input by the input unit is characterized in that the input unit is equipped with a camera having a code reading and creation function and a data transmission and reception function, and photographs a code that is visibly displayed or attached by a member mobile terminal that has been authenticated as a member terminal with the camera of the member mobile terminal, and transmits code identification information contained in the code and authentication information of the member mobile terminal to the recording unit via a public communications network.

[0018] (5) The conditions for which the bonus points are awarded are: The data inputted and recorded / stored in the recording unit is characterized in that it matches the data based on health awareness and behavior navigation provided to the member based on member data, health checkup data, lifestyle habit record data, etc.

[0019] (6) The conditions for which the bonus points are awarded are: The data input to the recording unit and recorded and stored therein is characterized in that it is recorded and stored continuously.

[0020] (7) The conditions for which the bonus points are awarded are: The data input to the recording section and recorded / stored therein is characterized in that it has been transmitted by a device equipped with a communication function that has been authenticated in advance.

[0021] (8) The conditions for which the bonus points are awarded are as follows: The data entered into, recorded and stored in the recording unit is characterized in that it matches the data recorded in the recording unit that encourages changes in health awareness and behavior, such as attending health-related educational seminars, experiential seminars, and courses, measuring capillaries, measuring blood turbidity, and taking recommended supplements.

[0022] (9) The conditions for which the bonus points are awarded are as follows: The health stage due to a change in the data inputted, recorded and stored in the recording unit is characterized in that it has improved beyond a threshold, resulting in a change in risk. (10) The conditions for which the bonus points are awarded can be added or deleted at will.

[0023] (11) The health incentive support system further includes a second control unit 3b in the central processing unit 3, and the second control unit 3b is characterized in that it connects to a plurality of blockchain node groups 11 to share data with external systems having a similar configuration to the system.

[0024] (12) The health incentive support system further comprises a second control unit 3b in the central processing unit 3, and the second control unit 3b provides a shared server to connect to an external system having a similar configuration to the system, and shares data with the external system having a similar configuration to the system.

[0025] The present invention is not limited to the above configuration and the embodiments described below, and it goes without saying that various modifications can be made within the scope of the technical concept of the present invention. Effect of the Invention

[0026] The health incentive support system of the present invention can calculate or arbitrarily set an efficient investment allocation for prioritizing the allocation of health promotion budgets (benefits such as membership fee discounts, point benefits, etc.) to a set target group from among individual populations, targeting members of organizations and groups such as companies, health insurance associations, sports clubs, and drug stores. For example, it is possible to control the allocation of points and the target group to be focused on, such as by focusing on motivating individuals belonging to a high health risk group to promote health in order to prevent the onset and progression of disease, or by motivating individuals in good health to give generous preferential treatment to those in good health, thereby promoting health maintenance. This makes it possible to promote health incentives for members in line with the intentions and objectives of the hosting organization or group. [Brief description of the drawings]

[0027] [Figure 1] FIG. 1 is a block diagram illustrating a first embodiment of a device configuration of a health incentive support system according to the present invention; [Diagram 2] A block diagram illustrating the main components of the health incentive support system shown in Figure 1; [Diagram 3] A block diagram illustrating a basic configuration example of a health incentive support system according to the present invention; [Figure 4] A block diagram illustrating an example of a configuration in which the health incentive support system according to the present invention is linked using a blockchain; [Diagram 5] FIG. 13 is an explanatory diagram of an example of a table showing an example of a daily health point target list and an odds coefficient; [Figure 6] An explanatory diagram of an example of criteria for determining priority targets for health points; [Figure 7]FIG. 1 is a table showing an example of an implementation simulation according to the present invention, in which the subject and the health insurance association, which is the organizer, bear the costs for point redemption. [Figure 8] An illustration of an example simulation of extended health points; [Figure 9] FIG. 2 is an explanatory diagram showing an example of a database of bonus point items and the number of points; [Figure 10] FIG. 13 is an explanatory diagram showing an example of setting exchange rates for individual subscribers. [Figure 11] A flowchart explaining the procedure for setting the odds coefficient of health points; [Figure 12] A flowchart explaining the procedure for calculating daily health points; [Figure 13] A flowchart illustrating the procedure for setting the extended health point odds coefficient; [Figure 14] A flowchart explaining the procedure for calculating the extended health points; [Figure 15] A flow chart explaining the procedure for calculating odds coefficients and weights using machine learning with artificial intelligence; [Figure 16] A flow chart explaining the procedure for earning bonus points; [Figure 17] A flow chart explaining the procedure for earning bonus points; [Figure 18] FIG. 1 is an explanatory diagram of an example of an integrated system in which the health incentive support system according to the present invention uses a server to connect to health behavior records held by external organizations; [Figure 19] An explanatory diagram of an example of an integrated system that connects external organizations and health behavior records used by the health incentive support system according to the present invention using blockchain DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0028] Hereinafter, an embodiment of a health incentive support system according to the present invention will be described in detail with reference to the drawings of the embodiment. EXAMPLES

[0029] FIG. 1 is a block diagram illustrating a device configuration of a health incentive support system according to a first embodiment of the present invention. The system includes an input unit 1 for inputting member data such as personal information data of members, health information measurement data such as medical examination data and measurement data, and lifestyle habit record data, a database for recording member data such as personal information data of members, health information measurement data, and lifestyle habit record data inputted by the input unit 1, a table for setting various information such as odds coefficients of health behaviors and weighting coefficients based on risks, a program for analyzing odds and weighting based on risks for health behaviors, a health point calculation program, and the like, and a recording unit 7 for recording and storing such information. a central processing unit 3 including a first control unit 3a which refers to data previously set and stored in the recording unit 7, judges whether a health behavior corresponding to the member data input by the input unit 1 satisfies the conditions for being eligible for health points, determines odds coefficients and weighting coefficients for the health behaviors for which it has been determined that health points should be awarded, set in the recording unit 7, reflects the determined odds coefficients and weighting coefficients in the health points awarded for the health behaviors, and calculates odds and weighted health points; A display unit 4 that displays the health points, health behavior history, membership data, etc., a main memory 2, an interface 6 for input / output and communication with external systems, and a communication control unit (communication unit) 8 that communicates with mobile terminals and measuring equipment via a public communication network are connected via a data bus 9. It is also possible to connect a second control unit 3b for connecting to a group of blockchain nodes or for connecting to an external system.

[0030] The health incentive support system of the present invention (hereinafter simply referred to as the system) has members who belong to groups or groups such as companies, health insurance associations, sports clubs, and drug stores, and encourages the members to be health conscious and change their behavior in order to promote and maintain health, and motivates the members to participate by giving points (hereinafter also referred to as health points) for each type of behavior. In particular, the system is characterized by motivating the members who are most desired to be health conscious and most desired to change their behavior to participate in the program, and it is possible to arbitrarily set odds and weights for each group or group, and it is possible to control the health consciousness and behavior of the targeted group by setting bonus points.

[0031] The health points awarded in the system according to the present invention include at least daily health points and bonus points awarded in addition to the daily health points. The bonus points include extended health points and risk change bonus points. Daily health points are awarded for health measurements that can be performed daily (measuring weight, waist circumference, blood pressure, etc.) and for exercise and behavior such as running and walking. In addition, measuring items that are considered important depending on the situation, such as body temperature and oxygen saturation (partial pressure), can be added as actions for which daily health points are awarded, and as a secondary use, organizers can use this for the purpose of managing members (risk management). Extended health points are points that are awarded when health measurements (e.g. capillary measurements, blood turbidity measurements, etc.) that are difficult to measure on a daily basis at home, for example, at the workplace or at an affiliated sports gym, or when participating in health awareness seminars or experiential seminars that are held irregularly.

[0032] In addition, risk change bonus points are awarded when changes emerge as a result of continuously recorded health measurement data and the progression of exercise and behavioral data, and when the health stage improves beyond a threshold (although negative points may also be awarded if the health worsens).

[0033] Bonus points are points that are added when additional conditions or separate conditions are imposed on the conditions for receiving daily health points, and may be subtracted depending on the conditions. For example, there are conditions that add a time element to the input and transmission of measurement data such as weight and blood pressure, and conditions that add continuity to the execution of exercise or actions.

[0034] Figure 2 is a block diagram explaining the main configuration of the health incentive support system shown in Figure 1, and Figure 3 is a block diagram explaining an example of the basic configuration of the health incentive support system of the present invention, showing only the main parts of the system.

[0035] The health incentive support program execution device 10 in the health incentive support system of the present invention is composed of at least an input unit 1, a main memory 2, a central processing unit 3, a display unit 4, a recording unit 7, and a communication unit 8, as shown in Figure 2.

[0036] In the present invention, the input unit 1 is used to input member data such as personal information data of members, health information measurement data such as health checkup data and measurement data, and lifestyle habit record data, and methods of inputting data include input using a mobile terminal with communication capabilities, keyboard input from a PC or tablet, sending scanned data of images, and sending image data of photographs. Alternatively, a member mobile terminal that has a camera with code reading / creation capabilities and a data transmission / reception capability and that has been authenticated as a member terminal may photograph a visibly displayed or attached code with the camera of the member mobile terminal, and input the code by transmitting the code identification information contained in the code and authentication information of the member mobile terminal via a public communication network to the recording unit 7. With this input method, since the member mobile terminal is authenticated, it is possible to prevent unauthorized access to the system by a third party and also to prevent unauthorized acts by members, resulting in a highly reliable system. As the code, in addition to a QR code (registered trademark) or a bar code, a code that can read and provide specific information, or a code similar thereto, can be used.

[0037] 3, the recording unit 7 is composed of at least a personal information database 70 in which personal information such as the age and sex of the member is recorded, a lifestyle habit record database 71 in which the lifestyle habits and exercise of each member are recorded, a health information measurement database 72 in which health-related values ​​measured by health checkups and self-measurements are recorded, a health behavior database 73 in which behaviors for maintaining and promoting health are recorded, an odds coefficient database 74, and a health point database 75. In addition, as necessary, a health promotion information database in which information useful for promoting health such as seminars and training on health is recorded, a program storage unit in which a program for analyzing odds and weighting by risk for health behavior, a health point calculation program, etc. are stored, a machine learning database in which the analysis results of odds and weighting analyzed by machine learning and statistical methods are recorded, a food information database in which information on foods and supplements useful for maintaining health is recorded, an exercise information database in which information on exercise for maintaining and promoting health is recorded, and various other information databases in which various other information is recorded.

[0038] Each database constituting the recording unit 7 records and stores data input from the input unit 1 in a table, and stores information analyzed by a program and calculation results. Also, various information such as health promotion information, food information, and exercise information can be automatically obtained and stored via the communication unit 8 from a public communication network such as the Internet.

[0039] The health information measurement database 72 has a health point target list recording area 721 in which a list of targets to which health points are to be awarded is set and recorded. The odds coefficient database 74 also has a daily health point odds coefficient recording area 741, an extended health point odds coefficient recording area 742, and a weighting recording area 743 in which odds coefficients and weighting coefficients for calculating health points are recorded. The health point database 75 also has a risk change bonus target list recording area 751 in which a list of targets to which a risk change bonus is granted is set and recorded, and a bonus point target list recording area 752 in which a list of targets to which bonus points are added is set and recorded.

[0040] In this system, for example, a user logs in to this system 12 from an input unit 1 of a mobile terminal or the like having a communication function via the Internet 13. Information transmitted by the login operation is sent to the main memory 2 and collated with information in a personal information database 70 in a recording unit 7. If the login is valid, input of information from the input unit 1 is permitted. The various pieces of information input and transmitted by the input unit 1 are recorded in a predetermined database in the recording unit 7. For example, health-related values ​​such as health checkup data are recorded in a table in the health information measurement database 72 of the recording unit 7. Examples of items for which health-related values ​​are recorded include body temperature, weight, height, waist circumference, BMI, eyesight, hearing, blood pressure, oxygen saturation (partial pressure), urine test results, and X-ray test results. The first control unit 3a of the central processing unit 3 refers to the health point target list information recorded in the health point target list recording area 721 of the health information measurement database 72, as well as the odds setting information for each health behavior (e.g., setting to assign different odds for each measurement item) stored in the daily health point odds coefficient recording area 741 and the extended point odds coefficient recording area 742 of the odds coefficient database 74, the weighting information for members with each risk (e.g., high blood pressure or obesity that may lead to the three major diseases) stored in the weighting recording area 743, the risk change bonus information set and recorded in the risk change bonus target list recording area 751 of the health point database 75, and the bonus point information set and recorded in the bonus point target list recording area 752, to determine the odds and weighting to be set for each member using the personal information read out from the personal information database 70, and the health points, risk change bonus points, and bonus points are calculated from the health point values. The health points calculated as a result of the above-mentioned judgment are displayed on the display unit 4 and are also recorded in the health point database 75.

[0041] The display unit 4 displays the health points given for the input information and the health action history. The data displayed on the display unit 4 can also be sent to the member's mobile terminal via the communication unit 8. In this case, the mobile terminal serves as both the input unit 1 and the display unit 4.

[0042] FIG. 4 is a block diagram illustrating an example of a configuration in which the health incentive support system according to the present invention is linked using a blockchain. 4, input unit 1, display unit 4, and health incentive program device 12, which is the main part of this embodiment, process various data stored in recording unit 7 via Internet 13 and record the processing results. Various programs, which will be described later, are stored in health incentive program device 12, and each process is executed when activated by an administrator. 4, the health incentive support system according to the present invention is configured so that an external similar system can access the recording unit 7 via the Internet 13. In this configuration example, a blockchain node group 11 is used as an example of an integrated system that cooperates with an external system having a similar configuration to this system.

[0043] In the health incentive support system of the present invention, the daily health point odds coefficient recording area 741 and the extended point odds coefficient recording area 742 of the odds coefficient database 74 store odds setting information for each health behavior, and the weighting coefficient recording area 743 stores weighting information for members with each risk. The odds coefficient set in the daily health point odds coefficient recording area 741 may be set for each member or for each health behavior. FIG. 5 is an example of a table showing an example of a daily health point target list and odds coefficients. 5 is set in the health point target list recording area 721 of the health information measurement database 72. In addition, the priority target odds coefficient is set in the daily health point odds coefficient recording area 741 of the odds coefficient database 74. Daily health points are calculated when a user actually takes action in relation to the daily health behaviors that have been set in advance.

[0044] In the table shown in Figure 5, health actions that can be performed daily, such as "logging in to an app," "measuring weight," and "measuring blood pressure," are listed as health actions for which daily health points are added. A basic point is set for each health action. In this embodiment, when a member logs in to the application that starts the system on a mobile device, one basic point is added per day. In addition, by measuring weight and entering the data, 10 points are added per day, and by measuring blood pressure, three points are added per day. In this way, by awarding daily health points for actions that members can take daily to maintain and promote their health, members are motivated to continue taking these actions. The list of health actions and basic points can be changed as appropriate, taking into account the overall health status and environment of the members. As an example, during the COVID-19 pandemic, body temperature and oxygen saturation (partial pressure) measurements can be included in the daily health points, and at the same time, employees can be required to measure them before coming to work, making it possible to use the points for employee (risk) management in companies. In this way, the items and point settings can be flexibly changed according to the organizer's intentions.

[0045] In this system, rather than awarding health points uniformly, the system categorizes target groups of members who are particularly desired to take healthy actions to maintain and promote their health, and in order to encourage them to proactively take healthy actions, classifies such target groups as priority groups, and sets "priority group odds," which is one of the odds coefficients, for each health behavior. A member who is determined to be a priority target is given more health points than the basic points.

[0046] In Figure 5, for example, when logging in to the application, subjects who are judged to be normal (healthy individuals) (see Figure 6) receive a basic point of 1 point per day. On the other hand, subjects who are judged to be priority subjects in the priority assessment are set to receive 1 point each time they log in to the application up to twice a day as priority subject odds. In addition, regarding weight measurement, the basic points of 10 points per day are the same for both normal subjects and priority subjects, but priority subjects with more problems are set to receive an additional 100 points if they measure their weight by 8 a.m. and submit the data. Regarding blood pressure measurement, subjects whose blood pressure is normal in the priority assessment can earn 3 points if they measure their blood pressure once a day, while priority subjects can earn 3 points for each measurement up to twice a day. In this way, the system sets odds so that members who fall under the priority targets set by the organizer are more motivated to participate in healthy behaviors. Note that the health behaviors that earn daily health points can be set arbitrarily, and priority targets can be classified and determined as primary priority targets and secondary priority targets, and odds coefficients can be set differently.

[0047] In addition, the machine learning control unit 3c of the central processing unit 3 may be configured to use the lifestyle record data and health information measurement data of all members recorded in the recording unit 7, as well as big data, to analyze optimal odds using machine learning and statistical methods including artificial intelligence, and record the analysis results in the machine learning database of the recording unit 7, thereby determining the odds coefficient for each piece of information input by each member from the input unit 1 and calculating health points.

[0048] Similarly, in this system, the extended health point odds coefficient is set in the extended point odds coefficient recording area 742 , and the weighting coefficient is set in the weighting coefficient recording area 743 . When information is input from the input unit 1, the first control unit 3a of the central processing unit 3 uses that information and personal information read from the personal information database 70 to determine the odds and weightings set for each member, and calculates health points from there.

[0049] FIG. 6 is an explanatory diagram of an example of criteria for determining priority targets for health points. The criteria for determining the priority targets of health points shown in Figure 6 are an example of a case where an organizer such as a company, health insurance association, drugstore, etc. (hereinafter referred to as the organizer) aims to focus on motivating health promotion among members of their organization or group (hereinafter referred to as the population) who are affected by lifestyle-related diseases (hyperlipidemia, high blood pressure, diabetes, etc.) or who are at risk of developing such diseases, in other words, individuals who belong to a high-health risk group. Here, the first control unit 3a extracts "BMI" (body mass index), "blood glucose level," "LDL" (bad cholesterol), and "TRIG" (triglyceride) from the items of health check data, and sets threshold values. The above items can be arbitrarily set and extracted according to the organizer's purpose and intent, including general items conducted in health checkups, such as weight, waist circumference, BMI, blood pressure, blood sugar, HbA1C, LDL cholesterol, etc., as well as lifestyle questionnaire data, so-called pre-disease tests, and quantified data such as health status and disease risk through statistics. The items and thresholds for the measurement data can be unified into a general set, or can be set according to age.

[0050] In the example shown in Figure 6, the priority distribution is classified into four stages: (1) normal, (2) borderline: secondary priority, (3) observation: primary priority, and (4) treatment required. The normal stage in the upper row (1) indicates the normal range for each item. If BMI is under 25, blood sugar is under 100, LDL is 60-120, and TRIG is 30-150, it is judged to be normal (1). In this case, the weighting coefficient for each member is 1x (x1.0), and even if there is a risk change in the worsening direction, there is no risk change in the improving direction, so no risk change bonus points are added. The target list for risk change bonus points can also be set arbitrarily, and may be set in advance in the risk change bonus target list recording area 751, or the list may be formed from data analyzed by machine learning.

[0051] Figure 6 (2) shows the range of the borderline stage. If the BMI is 25-30, blood glucose is 100-110, LDL is 120-140, and TRIG is 150-300, the individual is considered to be in the borderline stage of the priority target group. If three or more of the following items fall within the above numerical ranges: "BMI," "blood glucose level," "LDL," and "TRIG," the patient is deemed a secondary priority target. In this case, the weighting coefficient is 1.6 times (x1.6), and even if there is a change in risk toward improvement, no risk change bonus points are added.

[0052] (3) in Figure 6 shows the range of follow-up observation stages. If the BMI is 30 or more, blood glucose is 110 to 126, LDL is 140 to 180, and TRIG is 300 to 500, it is judged to be follow-up observation. If two or more of the items "BMI," "blood glucose level," "LDL," and "TRIG" fall within the above numerical ranges, or if one item falls within the numerical range of follow-up observation (3) and two items fall within the numerical range of borderline zone (2), the patient becomes a primary priority subject and the weighting coefficient is multiplied by 2.0 (x 2.0). If the patient improves from a primary priority subject to a secondary priority subject, 3,000 points will be added as a risk change bonus point.

[0053] If the value of each item corresponds to even one of the values ​​shown in (4) at the bottom, it is judged to be in the stage requiring treatment. In this case, the weighting coefficient is 1.5 times (x1.5), and if the stage improves from requiring treatment to the first priority stage, 5,000 points are added as risk change bonus points. According to the example of criteria for determining priority targets for health points shown in Figure 6, a high weighting coefficient is set for members with high health risk, such as those who are prone to lifestyle-related diseases or who already have lifestyle-related diseases. The higher the weighting coefficient, the easier it is to earn health points. As a result, on the whole, members with higher health risks will make more efforts to promote their health, and it is expected that improvements in health behavior will be focused on the specific members (target group, in this case those at risk of developing lifestyle-related diseases) that the organizer intends.

[0054] In addition, the organizer can set conditions for the weighting coefficients for the measurement results of the items as desired. For example, if the organizer is aiming to improve items related to diabetes, they can extract subjects whose measurement results for items such as blood sugar and HbA1C are in the observation range or borderline range, and set a larger weighting coefficient so that those subjects are more likely to receive points. This can improve the proactive health behavior of those who fall into the numerical range related to diabetes.

[0055] The health incentive support system of the present invention allows users to earn points that can be used in a variety of ways. For example, points can be used to purchase products at retail stores, exchanged for prizes, or exchanged for electronic money. Regarding the point redemption, the target person (member), the organizer (health insurance association, drug store, etc.), the organization to which this system belongs (company, drug store that has registered as a member, etc.), etc. may arbitrarily set the cost burden for the point redemption in advance, and decide the method of redeeming the points acquired after a certain period of time. There are no particular limitations on the redemption method, but it is preferable to use a redemption method that is attractive to members and motivates them to participate in this system.

[0056] In an example of an implementation simulation of the present invention shown in Figure 7, the costs associated with point redemption are borne by the subject himself and the health insurance association, which is the organizer (Figure 7(a)). In this example, both the subject himself and the health insurance association (or company) bear 2,500 yen. As there are 50 participants in total, the total comes to 250,000 yen (Figure 7(c)), which is used as the budget for point redemption. Note that the cost of point redemption may be borne by the subject himself at zero, with the health insurance association, sponsoring company, etc. bearing the entire cost. The points earned by all participants over a certain period of time become the dividend points, which in this example is 67,299 points. The unit price of points is determined by dividing the budget of 250,000 yen by the dividend points of 67,299 yen (Figure 7(c)). If adjustments are necessary, a system can be established in which the organizer or company compensates, or adjustments can be made through dividends.

[0057] After calculating the point unit price using the above method, the point unit price is multiplied by the points earned by each participant (dividend points) to determine the dividend for each participant, and the earned points are returned to them. To improve usability, points may be borrowed in advance rather than simply returned. This may encourage the subject to take more healthy actions in order to earn points. In this case, if the subject is unable to earn the number of points used in advance within a preset period, the points may be adjusted in a preset manner, such as by deducting them from the paycheck. Points can be redeemed for prizes in a preset manner, and in addition to direct exchange, points can also be exchanged at affiliated retailers such as drugstores, through catalogs, in partnership with online retailers, etc. Points can also be used to purchase supplements and test kits recommended by the system for health maintenance. As shown in the example of Figure 7, the redemption of the earned health points can be calculated by setting a maximum budget limit in advance and then dividing the budget by the total points earned by all participants after the event has ended to calculate the unit price per point. Alternatively, it is also possible to set a unit price in advance based on the budget without setting an upper limit, with the organizer bearing the cost, or to optimize the odds coefficient by calculating the odds coefficient through AI (artificial intelligence) analysis based on past performance. This information is recorded in each database of the recording unit 7 and can be checked by each subject at any time on the display unit 4, which is expected to promote healthier behavior.

[0058] In this system, points can be earned in a number of ways. One of these is the daily health points, which are calculated using odds coefficients set for each daily health behavior, such as "logging in to the app," "measuring weight," and "measuring blood pressure," as mentioned above. On the other hand, in addition to healthy behaviors that can be performed on a daily basis, there are many meaningful healthy behaviors that maintain and promote health, such as measuring health parameters that are difficult to measure on a daily basis at home, such as at the workplace or affiliated sports gym (body composition, capillary blood vessels, blood glucose levels, etc.), and participating in health awareness seminars and experiential seminars that are held irregularly. For such health behavior, extended health points are set in advance as bonus points in addition to daily health points, and points can be earned by recording the history of the behavior. These points are calculated by setting items such as target measurements A, B, C, ... and health seminars α, β, γ, ..., and extended health points are set for each. Points are added when measurements or attendance are confirmed.

[0059] Furthermore, in order to balance the daily health points with each extended health point, the point ratio can be set with different odds coefficients between the daily health points and each extended health point, and the overall balance can be designed. For example, if a capillary measuring device is installed in a shared space in a company and a measurement is taken by entering a personal ID, etc., the measurement history is stored in the recording unit 7, the subject is given extended health points, and if an odds coefficient has been set in advance, points multiplied by that coefficient are added and recorded together with the extended health points. In addition, the setting of targets for extended health points can be added or deleted at any time, and members can freely check the list of targets for extended health points registered in the health promotion information database of the recording unit 7 and the extended health points granted to them, thereby encouraging participation and implementation.

[0060] FIG. 8 is an explanatory diagram of a simulation example of extended health points, in which (a) shows the number of points recorded for each subject (user), and in addition to daily health points, extended health points are shown, including points acquired by body composition measurement, blood glucose measurement, capillary measurement, and health seminar attendance. Each point is multiplied by the odds of health behavior, 0.3 for daily health points, 0.15 for body composition measurement, 0.15 for health level measurement, 0.15 for capillary measurement, and 0.15 for health seminar attendance, and the total points (health points) after the calculations are calculated. The odds of health behavior are shown in (b).

[0061] The third type of points that can be earned can be set as risk change bonus points. The risk change bonus points are set to be added separately from other points when an improvement is observed due to health behavior. The risk change bonus points are set as follows: when a preset condition is met, such as an increase in weight by one threshold, a 1 kg weight loss will earn 5 points, a 3 kg weight loss will earn 10 points, and a 5 kg weight loss will earn 100 points. In this way, the risk change bonus points are added or subtracted based on the input data entered, recorded, and stored in the recording unit 7, as determined by the central processing unit 3 whether the progression of changes in the data has improved beyond a threshold set for each health stage, resulting in a risk change.

[0062] For example, as shown in FIG. 7(d), the risk change bonus points are set as follows: when the risk state changes (improves) from the second priority target (S) to normal (normal) (N), 5,000 points are added, when the risk state changes (improves) from the second priority target (S) to the first priority target (D), 3,000 points are added, when the risk state changes (improves) from the first priority target (D) to normal (normal) (N), 3,000 points are added, and conversely, when the risk state changes (worsens) from normal (normal) (N) to the first priority target, 2,000 points are subtracted, when the risk state changes (worsens) from the first priority target (D) to the second priority target, 2,000 points are subtracted, and when the risk state changes (worsens) from normal (normal) (N) to the second priority target, 2,000 points are subtracted. Also, the points subtracted in the case of deterioration may be set to zero at the organizer's discretion. The thresholds for each stage (general, second priority target, and first priority target) can be set and changed at the organizer's discretion.

[0063] The fourth type is bonus points, which are added when certain conditions are met in addition to the conditions for daily health points and extended health points. Bonus points may also be subtracted depending on the conditions.

[0064] For example, in the example database of bonus point target items and point amounts shown in Figure 9, the daily health points that are normally added by logging in to the application of this system are set to a bonus point condition of logging in every day consecutively ((1) consecutive application logins), and the bonus point for consecutive logins is set to 1 point. In this setting, the 1 daily health point that is added each time you log in to the application of this system will remain the same, but if you log in on two or more consecutive days, 1 point will be added in addition to the 1 daily health point for logging in. Therefore, 1 point will be added on the first day, and 2 points will be added each day from the second day onwards.

[0065] In addition, the condition of continuously measuring body temperature, weight, and blood pressure every day ((2) Continuous measurement of health information (weight and blood pressure)) can be set as a bonus point condition, and 1 point can be set as a bonus point for continuous measurement. According to this setting, if you measure your weight on two consecutive days and enter the measurement results, you will receive one daily health point and one bonus point.

[0066] Furthermore, a bonus point condition ((3) bonus for continuous measurement for a specified period) may be set, which requires continuous daily measurement for a certain period (for example, one week). In this case, the data in the health behavior database 73, which records the weight and blood pressure measurement data entered from the input unit 1, is compared with the settings in the bonus point target list recording area 752, and the first control unit 3a of the central processing unit 3 determines whether the conditions for being eligible for bonus points to be awarded are met.If the conditions are met, bonus points are added to the health behavior (in this case, measuring weight and blood pressure) and recorded in the health point database 75.

[0067] For example, in the case of measuring one’s weight, on the first day one will receive 10 daily health points (Fig. 5(2)), and from the second to sixth days one will receive 10 daily health points and one bonus point for continuous health information measurement (weight and blood pressure) (Fig. 9(2)), totalling 11 points. If one continues to measure one’s weight up to the seventh day, this satisfies the conditions for the specified period continuous bonus, and one will receive 10 daily health points, one bonus point, and 100 points as the specified period continuous bonus (Fig. 9(3)), totalling 111 points.

[0068] The continuation bonus points may be added as a bonus when a certain period of time is continued as described above, or a certain number of points may be added every day. For example, from the second day onwards, the bonus points may be calculated by multiplying the number of days of continuation by 1 point. In this case, the bonus points are added until the continuation is broken, with 100 points on the first day as daily health points, 101 points on the second day, 102 points on the third day, 103 points on the fourth day, and 104 points on the fifth day. Therefore, the more continuation bonus points a member accumulates, the more likely he or she is to continue healthy behavior without interruption, which encourages the maintenance and promotion of health.

[0069] As described above, in this system, in addition to daily health points, conditions for bonus points (bonus point conditions) can be set as conditions for bonus points to be awarded, such as conditions set for inputting and sending measurement data such as weight and blood pressure, conditions set for continuing specified exercise behavior, and conditions set for continuing for a specified period of time, which motivates people to take more healthy actions. Furthermore, if odds coefficients are set for priority targets for bonus point conditions, the health behavior of priority targets can be further promoted. For example, in the examples of Figures 5 and 9, the daily health points that are added each time a person logs into the application of this system are 2 points for priority targets, since points are added up to twice a day (1 point for non-priority targets), and if the person logs in consecutively from the second day onwards, 1.2 points, which is calculated by multiplying 1 bonus point by the odds coefficient x 1.2, are added in addition to the 2 daily health points for logging in. Therefore, while non-priority targets receive 1 point on the first day and 2 points per day from the second day onwards, priority targets receive 2 points on the first day and 3.2 points from the second day onwards, making it easier to accumulate points.

[0070] For each piece of data input from the input unit 1, it is determined whether the data matches the conditions set in the bonus point target list recording area 752 of the recording unit 3, and health points are calculated.

[0071] Other bonus point conditions include determining whether the data entered and recorded / stored in the recording unit 7 matches the data based on the health awareness / behavior navigation provided to the member based on member data, health checkup data, lifestyle habit record data, etc. This system analyzes each member's member data and health checkup data, and navigates the health behavior and health awareness that members should take to maintain and improve their health, making it easier for members to participate. The health awareness and behavior navigation provided to members, for example, gives chronological instructions on a day's meals, exercise, walking style, etc., encouraging members to take action. It is also possible to set it so that when various information is input according to the navigation, bonus points are added. Furthermore, it is also possible to apply daily odds coefficients and weighting coefficients to set the point difference even larger.

[0072] Similarly, bonus point conditions include when the data entered and recorded / stored in the recording unit 7 matches the data recorded in the recording unit 7 that encourages changes in health awareness and behavior, such as attending health-related educational seminars, experiential seminars, and courses, taking capillary blood vessel measurements, blood turbidity measurements, and taking recommended supplements. The recording unit 7 can be provided with an exercise information database, a health promotion information database, and a food information database, and these databases record information that is useful for encouraging changes in members' health awareness and behavior. When the health behavior of the member is entered and the information is related to the information recorded in the recording unit 7, the central processing unit 3 collates it and performs processing to add bonus points.

[0073] For example, when a member uses the input unit 1 to search for supplements suitable for him / her, the central processing unit 3 refers to the health behavior data and health checkup data of the member to detect recommended supplements.

[0074] When taking the supplement, the user can follow the navigation displayed on the display unit 4 and take the supplement in question, which can result in bonus points being added. For example, you can purchase recommended supplements using your accumulated health points or borrowed points. When taking the recommended supplement, the identification code such as a barcode printed on the supplement's individual packaging is read by a mobile terminal or the like and transmitted. The central processing unit 3 checks whether the transmitted barcode information is for a supplement purchased by the member, and if the information on the purchased supplement matches the information on the supplement taken, bonus points are added. Furthermore, if continued use is confirmed, bonus points may be added, and if continued use for a certain period of time is confirmed by following the navigation, bonus points for continued use for a specified period of time may be added.

[0075] Regarding the intake of supplements as mentioned above, the service allows members to search for information on the most suitable supplements and navigate how to take them, allowing them to take supplements that suit them best, helping to improve their health. By providing such information to the supplier of the supplement, with the member's consent, the information can become meaningful data. Therefore, by providing supplements at low cost and having consumers cover part of the costs required for health point redemption on the condition that they provide information about their intake of supplements, this system can be operated smoothly.

[0076] In addition, conditions for bonus points can be set so that in cases where routine testing is recommended based on member data, bonus points will be awarded if the measurement is performed using the recommended test reagent, and if the testing is performed according to the navigation regarding the recommended measurement frequency and timing. In this case, just like with supplements, you can confirm that the test has been carried out by entering the identification code or code printed on the individual packaging of the test reagent or by sending a photo image, and bonus points will be added based on that. In addition, if you continue to carry out tests by following the navigation, or if you continue to carry out tests for a certain period of time, you can set it to add even more bonus points. The results of using test reagents according to the navigation recommended by the member will be useful data for the reagent supplier. In addition, if a system is created that allows members to obtain test reagents at low cost on the condition that they provide the data with their consent, it will be beneficial for the members. Furthermore, having the supplier bear part of the cost burden required for health point redemption will enable the system to operate smoothly.

[0077] Furthermore, as a condition for the bonus points, the data input to, recorded and stored in the recording unit 7 must be transmitted by a device equipped with a communication function that has been authenticated in advance. As an example of a device with a communication function that has been authenticated in advance, a weighing scale with a communication function is registered in the recording unit 17 of this system, and access and data transmission from the weighing scale to the recording unit 7 is permitted. In this way, every time weight is measured with the weighing scale, the measured weight value is transmitted directly from the health incentive program device 12 to the recording unit 7 via the Internet 13. In the case of devices equipped with pre-authenticated communication functions, this eliminates the risk of input errors or malicious changes that occur when data is entered manually, makes it easier to prove measurements, and increases the reliability of each piece of information, thereby contributing to the provision of a high-quality system. Since the system is configured so that earned points can be used to purchase products and receive services, the various measurement data and health behavior information that form the basis of point calculations must be kept as inoperable as possible. Therefore, in order to encourage members to use more devices with authenticated communication functions and improve the quality of the system, a setting may be made such that bonus points are added when measurements are made using such devices.

[0078] The target list of health points, risk change bonus points, and bonus point targets that are determined and added or subtracted by the central processing unit 7 as described above can be added or deleted at will, and the health points awarded to each can also be increased or decreased at will.

[0079] The health incentive support system of the present invention has as its members persons who belong to organizations or groups such as companies, health insurance associations, sports clubs, and drug stores, and encourages members to become health conscious and change their behavior in order to promote and maintain their health. However, under certain conditions, it may also be possible for non-members who cannot directly become members to participate in the system as individual subscribers. For example, a friend of a member may wish to use the system together with the member. In that case, a system could be conceived in which individual subscribers pay a monthly membership fee, and a portion of that fee is used as capital to multiply the points by a coefficient corresponding to the points they have earned, allowing them to exchange the points for, for example, health-related products. The coefficient corresponding to the points they have earned is set in advance.

[0080] FIG. 10 shows an example of setting exchange rates for individual subscribers. In this example, an individual subscriber pays a monthly membership fee of 500 yen. Then, 200 yen of that is used as the exchange capital. In this case, the exchange capital will be 2,400 yen in one year. If an individual subscriber uses the system for one year and earns 12,000 points, the exchange rate will be 150% according to Figure 10. In this case, the exchangeable amount will be 3,600 yen, calculated by multiplying the original exchange amount of 2,400 yen by 150%. If there is a shortage of health-related products to replace or if additional purchases are required, the purchases may be made at the individual subscriber's expense. In addition, even for individual subscribers, it is possible to calculate odds coefficients, weights, risk change bonus points, and bonus points based on personal data, and to add health points, which may serve as motivation for maintaining health and promoting health behavior.

[0081] The procedure for setting the odds coefficients of this system will now be described in detail with reference to the drawings. FIG. 11 is a flowchart illustrating the procedure for setting the odds coefficients of health points. In the figure, when the health point odds coefficient setting program is started (START), first, the extraction conditions A, B, C, ... for the people whose odds coefficients are to be changed are set. The items A, B, C, ... of the conditions are entered manually or by reading a file using OCR. Then, data corresponding to those items is extracted from the health information measurement database 72 (Step-1, hereafter referred to as S-1).

[0082] The subjects are extracted (S-2) and at the same time, the odds coefficient database 74 of health points is notified. Then, the number of subjects is confirmed (S-3), and the odds coefficient is set and calculated (S-4). This calculation is performed using AI, but the calculated value is also entered manually or using OCR. The calculated odds coefficient is confirmed by checking against the subject from whom the data was collected, and is recorded in the health point odds coefficient database 74 (S-5), and the process ends.

[0083] FIG. 12 is a flowchart illustrating the health point calculation procedure. When the health point calculation program is started (START), health actions are carried out for the subjects read from the health action point subject list recording area 721 (S-21). In the health action point subject list recording area 721, subjects (members) are recorded by age.

[0084] It is determined whether points have been earned by performing the health behavior (S-22), and if no points have been earned, the program ends. If the points are acquired, the acquired points are converted into an odds coefficient using the coefficient stored in the health point odds coefficient database 74 (S-23). Then, the total converted points are calculated (S-24), and the total converted points are displayed on the display unit 4 and recorded in the odds coefficient database 74 (daily health point odds coefficient recording area 741) (S-25), and the process ends.

[0085] FIG. 13 is a flowchart illustrating the procedure for setting the odds coefficient of the extended health points. When the extended health point odds coefficient setting program is started, it first determines whether or not any new measurement items have been added (S-31), and if so, adds new extended health point test items to the health point target list recording area 721 (S-32).

[0086] If no new measurement items are added, the odds of daily / extended health points are set and calculated (S-33). This setting and calculation is performed using AI based on actual results, manual input, or OCR reading. The setting and calculation results of the odds of daily / extended health points are recorded in the odds coefficient recording area 742 of extended health points (S-34), and the process ends.

[0087] 14 is a flow chart explaining the extended health point calculation procedure. When the extended health point calculation program is started, health behavior is carried out for the subject read from the health point subject list recording area 721 (S-41). In the health behavior point subject list recording area 721, subjects (members) are recorded by age.

[0088] It is determined whether points have been earned by performing the healthy behavior (S-42), and if not, the program ends. If points are acquired, the acquired points are converted into the odds coefficient of extended health points using the odds coefficient recorded in the odds coefficient recording area 742 for extended health points (S-43), and the total converted points are calculated (S-44). The total acquired points are displayed on the display unit 4 and stored in the daily health point odds coefficient recording area 741 (S-45), and the process ends.

[0089] 15 is a flow chart explaining the procedure for calculating odds coefficients and weights by machine learning using artificial intelligence. When the odds coefficient calculation program by machine learning using artificial intelligence is started, the acquisition of items for which odds coefficients and weights are calculated by machine learning is executed (S-51), and based on the items, the machine learning control unit 3c of the central processing unit 3 collects data from the lifestyle habit record database 71, the health information measurement database 72, and big data connected to the Internet. An odds and weighting analysis model is read from the information of the lifestyle habit record database 71, the health information measurement database 72, and the big data, and the odds and weighting are analyzed for each item for which the odds coefficient and weighting are calculated (S-52). From the analysis results, the system performs calculations of odds and weighting for each item (S-53), calculates odds coefficients, and updates the information in the odds coefficient database 74 (S-54). Then, the data of the member for whom points are to be calculated is read (S-55), the odds and weighting are reflected in the points, and the points are calculated (S-56). The calculated points are recorded in the health point database 75, and the points of the member data are added (S-57).

[0090] FIG. 16 is a flowchart illustrating the procedure for acquiring bonus points. First, the measuring device to be used for measurement is selected (S-61). Then, it is determined whether the measuring device has a communication function (S-62). If the device does not have a communication function, measurements are made (S-63), and the measurement results are input from the input unit 1 (S-64). Daily health points are added and updated based on the data entered from the input unit 1 (S-65). In the case of a measuring device with a communication function, information about the measuring device and the member is transmitted (S-66). The measuring device is authenticated along with the member information in the personal information database 70. After authentication, when a measurement is performed (S-67), the measurement information is transmitted from the measuring device (S-68) and recorded in the health information measurement database 72. Then, since the condition for being awarded bonus points for measuring with a measuring device with a communication function in addition to daily health points is met, the bonus points are added, the points are updated (S-69), and are recorded in the health point database.

[0091] FIG. 17 is a flowchart explaining the procedure for earning bonus points by taking supplements. First, an application for accessing the health incentive support system of the present invention is started (S-71). When member information is entered through the input unit 1 (S-72), it is collated with information in the personal information database 70. The recommended supplement search program is started to search for recommended supplements (S-73). The central processing unit 3 extracts the necessary member information from the personal information database 70, the lifestyle habit record database 71, the health information measurement database 72, and the health behavior database 73, searches for optimal supplements from the information in the food information database of the recording unit 7, and displays them as recommended supplements on the display unit 4 (S-74). Then, the user can carry out the purchase procedure from the recommended supplement display screen (S-75). Supplements can be purchased using electronic money, credit cards, or earned health points. After purchasing supplements, the navigation function will activate and guide you to the optimal intake method (S-76). The navigation can be done by voice or by vibrating to inform you of the intake time. Follow the navigation to take the supplements (S-77). As proof of taking the supplements, the user can scan the QR code (registered trademark) or barcode on the individual packaging, send a photo, enter a number, etc., and send it. Based on the input data, the central processing unit 3 determines whether the supplements have been taken as recommended by the navigation system, and reflects this in the accumulated points and awards the points (S-78).

[0092] Fig. 18 is an explanatory diagram of an example of an integrated system used by the health incentive support system according to the present invention to link with an external system having a similar configuration to the present system using a server, Fig. 18(a) shows the entire system, and Fig. 18(b) shows a list of typical examples of the reference contents of the system shown in Fig. 18(a). In this integrated system, an administrator server 20 is installed, and a health incentive support program execution device 10 according to the present invention is connected to it.

[0093] It is also configured to be mutually usable via the Internet 13 with various external systems shown in Figure (b), such as the medical information system 30, health insurance association system 40, drug store system 50, sports club system 60, supplement / health food ingredient system 70, personnel recruitment system 80, and medical insurance system 90.

[0094] The administrator server 20 is a server that records health behaviors, and stores member IDs, their behaviors, and numerical values ​​related to the behaviors. An example of the use of an external system used by the health incentive support system according to the present invention is shown in Figure 17(b).

[0095] Figure 19 is an explanatory diagram of an example of an integrated system that uses blockchain to connect external organizations and health behavior records used by the health incentive support system of the present invention, where (a) shows the entire system, and (b) shows a list of typical examples of reference contents of the external system shown in (a). This integrated system includes a group of blockchain nodes 11, and a health incentive support program execution device 10 according to the present invention is connected to the group of blockchain nodes 11.

[0096] The external systems, a medical information system 30, a health insurance association system 40, a drug store system 50, a sports club system 60, a supplement / functional food product system 70, a personnel recruitment system 80, and a medical insurance system 90, each have health behavior recording blocks 200, 300, 400, 500, 600, 700, and 800, and the health behavior recording blocks of the external systems are connected to the Internet.

[0097] In this way, the blockchain node group 11 of the health incentive support system 10 of the present invention is configured to be able to access data from the medical information system 30, health insurance association system 40, drug store system 50, sports club system 60, supplement and health food ingredient system 70, personnel recruitment system 80, and medical insurance system 90 as shown in Figure 1(b) via the Internet 13.

[0098] The data recorded in the health behavior record block, for example, health behavior record block 500 of the sports club system 60 stores blockchains such as “Person A’s weight measurement history: 58.3kg → 57.8kg,” “Person B’s number of health seminars attended: 2 times → 3 times,” and “Person C’s meal record history: 10 times → 11 times.”

[0099] By linking with external systems using the server method or blockchain method described above, it is possible to reduce the addition of individual systems and enable highly accurate operation. [Explanation of symbols]

[0100] 1. Input section 2. Main memory (table) 3. Central Processing Unit 3a First control section 3b...Second control section 3c Machine learning control section 4...Display section 6. Interface 7. Recording section 8. Communication control unit (communication unit) 9. Data bus 10. Health incentive support program implementation device 11. Blockchain nodes 12. Health Incentive Program Device 13. Internet 20. Administrator Server 30 Medical Information Systems 40. Health Insurance System 50···Drugstore system 60. Sports Club System 70···Supplements and health food system 80. Recruitment System 90 Health Insurance System 200, 300, 400, 500, 600, 700, 800... Health behavior record block

Claims

1. A health incentive support system that promotes health awareness and behavioral change using numerical values ​​based on a member's health data and the member's health behavior, an input unit for inputting member data including personal information data, health information measurement data including medical examination data or measurement data, and lifestyle habit record data; a recording unit for recording and storing personal information data of members, member data including health information measurement data or lifestyle record data, various information including odds coefficients and weighting coefficients based on risks for health behaviors, a program for analyzing odds and weighting based on risks for health behaviors, and a health point calculation program; a central processing unit including a first control unit which refers to data set and stored in advance in the recording unit, judges whether a health behavior corresponding to the member data inputted by the input unit satisfies a condition for which health points are to be awarded, judges odds coefficients and weighting coefficients for the health behavior set in the recording unit for the health behavior for which health points are to be awarded based on said judgement, reflects said determined odds coefficients and weighting coefficients in the health points awarded for said health behavior, and calculates odds and weighted health points; A health incentive support system having a display unit for displaying the health points, health behavior history, and member data, and characterized in that health points are awarded in accordance with each member's health awareness and behavior.

2. The health incentive support system of claim 1, wherein the health points calculated by the central processing unit are calculated by referring to the data set and stored in the recording unit, determining whether the health behavior corresponding to the member data inputted in the input unit satisfies the conditions for being eligible for bonus points, and if it is determined that bonus points should be awarded, adding the bonus points to the health points to calculate the health points.

3. 3. The health incentive support system of claim 1 or 2, wherein the central processing unit further includes a machine learning control unit, which analyzes odds and weightings from big data including the lifestyle habit record data and the health information measurement data in the recording unit using machine learning and statistical methods including artificial intelligence, records the analysis results in a machine learning database of the recording unit, determines odds coefficients and weighting coefficients corresponding to the member data inputted in the input unit, and calculates health points.

4. A health incentive support system as described in any one of claims 1 to 3, wherein the input by the input unit is performed by photographing a code that is visibly displayed or attached by a member mobile terminal that has been authenticated as a member terminal, using the camera of the member mobile terminal, and transmitting the code identification information contained in the code and the authentication information of the member mobile terminal to the recording unit via a public communications network, the input unit being equipped with a camera having code reading / creation functions and a data transmission / reception function.

5. The conditions for which the bonus points are awarded are: The health incentive support system of claim 2, wherein the data inputted and recorded / stored in the recording unit conforms to data based on health awareness / behavior navigation provided to the member on the basis of member data, health checkup data, and lifestyle habit record data.

6. The conditions for which the bonus points are awarded are:

3. The health incentive support system according to claim 2, wherein the data inputted to, recorded and stored in said recording section is recorded and stored continuously.

7. The conditions for which the bonus points are awarded are:

3. The health incentive support system according to claim 2, wherein the data inputted to the recording unit and recorded and stored therein is transmitted by a device having a pre-authenticated communication function.

8. The conditions for which the bonus points are awarded are: The health incentive support system of claim 2, wherein the data inputted and recorded / stored in the recording unit corresponds to data recorded in the recording unit that encourages attendance at health-related educational seminars, experiential seminars, or training courses, capillary blood vessel measurements, blood turbidity measurements, intake of recommended supplements, and changes in health awareness and behavior.

9. The conditions for which the bonus points are awarded are:

3. The health incentive support system according to claim 2, wherein the health stage resulting from a change in the data inputted, recorded and stored in the recording unit has improved beyond a threshold and caused a risk change.

10. 10. The health incentive support system according to claim 2, wherein the conditions for which the bonus points are awarded can be added or deleted at will.

11. The health incentive support system according to any one of claims 1 to 10, characterized in that the health incentive support system further comprises a second control unit in a central processing unit, and the second control unit connects to a plurality of blockchain node groups to share data with an external system having a similar configuration to the system.

12. The health incentive support system of any one of claims 1 to 11, characterized in that the health incentive support system further comprises a second control unit in a central processing unit, and the second control unit provides a server to connect to an external system having a similar configuration to the system, and shares data with the external system having a similar configuration to the system.

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