JP2019148993A - Member health condition management system and member health condition management method - Google Patents

Abstract

To provide a member health condition management system and a management method that contribute to improvement of quality of life of members and employer effort by acquiring various health condition information of the members and processing material of the health condition to serve management of the health condition of the members.SOLUTION: A member health condition management system, comprises: a data table configuration unit 110 aggregating an amount of a plurality of members of a plurality of types of health condition information related to one member to configure a total member data table; a standard calculation formula generation unit 120 generating a health condition standard calculation formula on the basis of a standard value related to the plurality of types of the health condition information; and an individual determination data generation unit 130 comparing the plurality of types of the health condition information related to the one member in the total member data table with the type of the health condition information corresponding to the plurality of types of the health condition information related to the one member included in the health condition standard calculation formula to generate individual determination data related to the one member.SELECTED DRAWING: Figure 1

Description

  The present invention relates to a member health condition management system and a member health condition management method, and more particularly, to a member health condition management system and method for facilitating the understanding and evaluation of individual member health conditions belonging to a group.

  Preventing both physical and mental illnesses of members by accurately determining the health status of members belonging to groups such as companies and factories and analyzing disease predictor information. Supporting the return is to maintain the welfare level of the members, improve productivity, cultivate and improve trust in the company and organization, and raise awareness of social evaluations that are advanced in work style reform. It is an urgent task to plan.

  Not only can each company and group work on so-called health management, it can not only safely and safely promote the workforce of senior citizens in the workplace, which is an issue in an aging society with a declining birthrate, but also social welfare such as medical expenses and nursing costs. Cost efficiency can be improved, which can contribute to sound national financial management. In addition, by revitalizing the workplace and improving productivity through health promotion, it is expected that the productivity of companies and organizations will be improved and competitiveness, profitability, efficiency, and cost effectiveness will increase. If this spreads, it will contribute to a dramatic improvement in Japan's industrial competitiveness.

  In recent years, health management has attracted attention, and various services using personal health management goods, IT and health devices are widely used. However, even when healthy, there is no centralized support to understand all health conditions such as non-illness, illness, rehabilitation after illness, return to work, nursing care, etc., and improve QOL (quality of life) according to the state. It was. Furthermore, economic rationality of return on investment is indispensable for companies and various organizations to maintain healthy management for a long time and to stably promote the health of members. However, there is no service or methodology that can verify the effects on organizational activities such as health promotion, productivity, performance, and profit improvement. Therefore, a service having a function of verifying the effect of health promotion on organizational activities is desired.

  In Japan, where the birthrate is declining and the population is aging, it is an urgent task to improve the workforce of the elderly in the future. However, in order to achieve this, a system to prepare for the onset and progression of dementia in the workplace is essential. In addition, the number of strokes and myocardial infarction in the workplace is expected to increase due to the progress of employment of the elderly, and risk management, activities of companies and organizations, etc. It becomes an important problem for the elderly members.

  Previously, life improvement was considered an individual problem. However, when considering an organization that is a group of individual members, the health of the members is determined by the company's ease of work, satisfaction, atmosphere, presentism, and deterioration or improvement in productivity due to organizational loyalty. If it is a company, its relevance to its performance has also been suggested. Therefore, the demands of society are changing so that people should dare to step into the area of personal habits and encourage improvement. In addition, in the national and local governments, the importance of reducing medical costs for members and mitigating stress is increasing. For this reason, the success or failure of various members' efforts to address health management issues, and the resulting improvement in the health of their members, are regarded as corporate social responsibilities, and they are becoming increasingly important from the standpoint of management responsibility and compliance. Yes.

  From such circumstances, systems and methods for efficiently managing the health status of members have been proposed (Patent Documents 1, 2, and 3 etc.). However, in the conventional system, method, etc., although it is possible to analyze the health status of individual members, it is not necessarily a configuration that realizes a relative comparison of health status within a group. In recent years, statistical data and the like regarding health conditions are frequently updated. In addition, new indicators and analysis methods for health status have been developed. Then, if the latest statistics and inspection methods can be taken in quickly and the latest information can be reflected in the members, the improvement effect is expected to increase.

  Therefore, effective utilization of various health data on networks and non-networks, including data published and held by the country, various organizations, and organizations, and efficient management of the health of members Linkage, obesity, eating habits, lack of exercise, inappropriate working hours, sleep status, stress status, smoking, drinking, etc. Improvement of quality of life (QOL) of each state such as individual health, non-disease, illness, nursing care required, etc. from the efforts, improvement of QOL by prevention of illness and seriousness, improvement of employer (company) There has been a demand for effective systems and methods that contribute to the improvement of initiatives and the improvement of member groups such as the entire department.

JP 2010-191677 A JP 2011-123579 A JP, 2006-206706, A

  The present invention has been made in view of the above points, and it is possible to manage the health status of members by acquiring various health status information of members belonging to the site and processing them using various health status materials. Provide a member health condition management system and management method that contributes to improving the quality of life (QOL) of tying members and improving the efforts of employers (corporates) as well as improvements in the member group of the entire department, etc. To do.

  That is, a 1st aspect is related with the data table structure part which comprises the total member data table by gathering a plurality of types of health state information regarding one member, and a plurality of types of health state information. A standard calculation formula generation unit that generates a health condition standard calculation formula based on a reference value, a plurality of types of health status information relating to one member in the total member data table, and included in the health status standard calculation formula An individual-specific determination data generating unit that generates the individual-specific determination data for the one member by comparing the plurality of types of health-state information regarding the one member with the corresponding types of health-state information. It relates to the member health condition management system.

  The second aspect is the first aspect in which the reference calculation formula generation unit generates the health condition reference calculation formula by executing multiple regression analysis using a predetermined reference value related to a plurality of types of health condition information as a variable. Related to the health management system.

  According to a third aspect, in the second aspect, the reference calculation formula generation unit detects a web page by crawling a website and extracts predetermined reference values related to a plurality of types of health state information from the web page. Member health management system.

  In a fourth aspect, the first group determination data is generated by aggregating the individual determination data of each member for the members of the first group to which the one member belongs, and the members of the first group A group-specific determination data generation unit that generates second group determination data by aggregating the individual determination data of each member for members of a second group different from the first group determination data and the second group The member health state according to any one of the first to third aspects, further comprising an inter-group data comparison unit that compares the determination data and generates inter-group comparison data relating to the comparison between the first group and the second group. Related to management system.

  A 5th aspect concerns on the member health state management system as described in a 4th aspect provided with the alerting | reporting part which alert | reports the said determination data classified by individual or the comparison data between groups.

  In the sixth aspect, the computer unit aggregates a plurality of types of health status information related to one member for a plurality of members to form a total member data table, and a plurality of types of health states A standard calculation formula generation step for generating a health condition standard calculation formula based on a reference value related to information, a plurality of types of health status information on one member in the total member data table, and the health status standard calculation formula Processing the individual determination data generation step of generating the individual determination data regarding the one member by comparing the plurality of types of health state information regarding the one member and the corresponding type of health state information The present invention relates to a member health condition management method.

  In a seventh aspect, the first group determination data is generated by aggregating the individual determination data of each member for the members of the first group to which the one member belongs, and the members of the first group A group-specific determination data generation step of generating second group determination data by aggregating the individual determination data of each member for members of a second group different from the first group determination data and the second group The member health condition management method according to the fifth aspect, comprising: an inter-group data comparison step that compares the determination data to generate inter-group comparison data relating to the comparison between the first group and the second group.

  According to the member health status management system of the present invention, since various health status information of members belonging to the member can be obtained and processed using various health status materials, the health status of the member can be efficiently managed. be able to. And it becomes possible to contribute to the improvement of the quality of life (QOL) of members and the improvement of the efforts of managers and employers (businesses, etc.). Furthermore, the health status of the entire group to which the members belong can be easily managed.

  In addition, according to the member health condition management method of the present invention, it is possible to obtain a high quality service at a low cost by acquiring various health condition information of member members and automating utilization of various health condition materials. Provision is possible.

It is a schematic block diagram of the member health state management system of 1st Embodiment. It is a schematic diagram of a total member data table. It is a schematic block diagram of the member health state management system of 2nd Embodiment. It is process drawing of the member health condition management method of 1st Embodiment. It is process drawing of the member health condition management method of 2nd Embodiment.

  First, the member health condition management system 1 according to the first embodiment will be described with reference to FIG. Here, the “member” in the present invention refers to an employee of a company (company, factory, office, facility) or the like, a staff member of a local government or various organizations, a local resident, a person belonging to a predetermined group such as an NPO, or the like. A student / student / child of a Japanese school, a tenant of a nursing care facility, etc., and is defined as some sort of “person belonging to a group”.

  In the member health condition management system 1, various terminals 11 and 12 are connected to the Internet line 10 (network). Website servers 21 and 22 are also connected to the Internet line 10. A computer unit 100 for executing the main processing of the present invention is connected to the Internet line 10. Thus, in the member health condition management system 1, various devices are connected through a wired or wireless network. The notations of the terminals 11 and 12 and the servers 21 and 22 are two for convenience of illustration. Actually, there are a plurality of connections to the Internet line 10.

  The terminals 11 and 12 are devices that can measure the state of the human body, such as a pedometer, blood pressure monitor, thermometer, heart rate monitor, blood glucose meter, fatigue level measuring device, sleep activity meter, and accelerometer. included. Therefore, the result of continuously measuring the state of the human body of the member through the above-described device is transmitted to the computer unit 100 through the Internet line 10. Note that the information of the terminals 11 and 12 may be transmitted directly to the computer unit 100 without going through the Internet line 10.

  Terminals 11 and 12 are urine test, blood test, vision test, hearing test, electrocardiogram test, respiratory test, X-ray test, endoscopy, bacterial / virus infection test, DNA test (genome analysis), blood vessel inner wall It also includes medical institutions that perform inspections and various inspection institutions (computers and servers of these institutions). Information such as examination results, diagnostic remuneration statements, electronic medical records, medicine notebooks, etc., measured on the state of members' bodies accumulated in a computer or server of a medical institution as a terminal is also transmitted to the computer unit 100 through the Internet line 10. Is done.

  In addition to this, working hours and smoking history related to the workload of the members' managers (employees, etc.) and outsourcing contractors and industrial physicians entrusted with information security, compliance, stress checks, etc. and the health insurance association , Vehicle operation time, machine operation time, dangerous work engagement time, personal computer keystroke recording related to stress state determination, work content, web search history, email transmission / reception status analysis, travel distance and time, enrollment history, number of contacts Also included in the terminals 11 and 12 are computers and servers of companies that have accumulated data relating to such labor. These labor management results are also transmitted to the computer unit 100 through the Internet line 10.

  The server 21 of the website 25 stores data of the web page 31, and the server 22 of the website 26 stores data of the web page 32. Therefore, if the Internet line 10 is accessible, the web pages 31, 32, etc. can be browsed. Of course, the number of websites and web pages is not limited to that shown in the figure. These websites and web pages are limited to the contents on which information on the health condition is posted as described later.

  Here, the health condition information is an index capable of quantitatively grasping the physical condition of the member. For example, the number of walks per day with a pedometer, high and low blood pressure with a sphygmomanometer, fluctuations in blood pressure with a sphygmomanometer, changes in body temperature with a thermometer, fluctuations in heart rate, fluctuations in blood sugar levels within a certain period, irregular physiology (changes in body temperature), fatigue It is the accumulation of fatigue by a degree meter, the quality and time of sleep by a sleep activity meter, and the amount of exercise by an accelerometer. In addition, urine sugar and protein levels by urinalysis, blood glucose levels by blood test (daily changes), blood cell volume, cholesterol levels, liver function, antibody levels, sex hormone levels, visual acuity values by visual acuity tests, audiometry Level of hearing by ECG, heart sound by ECG, detection of arrhythmia, expiration volume by respiratory test, lung and bone abnormality by X-ray examination, esophageal, stomach, rectal roughness by endoscopy, bacterial / viral infection test The type of infection and the degree of infection, the presence or absence of a genomic sequence that is likely to cause illness by DNA testing (genome analysis), and risk analysis. Furthermore, it is information on time and period in which labor management can be performed such as monthly working hours, smoking history (smoking years), monthly vehicle operation time, monthly machine operation time, and monthly dangerous work engagement time.

  For an index expressed as a specific numerical value, the numerical value is used. As for the index that is entrusted to relative quality, such as the presence or absence of arrhythmia, for example, three stages (high risk: 3 points, medium risk: 2 points, low risk: 1 point), or the determination (+1 or -1) The segmented numerical points are given in advance. Thus, all the individual health condition information is digitized. In this way, various calculation processes in the computer unit 100 are facilitated.

  A computer unit 100 connected to the Internet line 10 includes a processor such as a CPU, an ASIC, an FPGA, etc., and a calculation unit 101 having a calculation function. 102 (including ROM, RAM, HDD, SSD, etc.). Moreover, the output part 300 which outputs the data of the result after a process to a member, an employer, etc. is also provided. The output unit 300 is a notifying unit, and also has a recommendation function for notifying a so-called individual, a group or organization described later, and promoting the improvement. In addition, although not shown, an appropriate data input / output interface, a reading unit for reading data, a display unit such as a buffer, a display, and the like are also provided. In general, the computer unit 100 is configured by a known personal computer or a server.

  The computer unit 100 (and the calculation unit 101) of the first embodiment corresponds to the data table configuration unit 110, the reference calculation formula generation unit 120, and the individual determination data generation unit 130. The storage unit 102 included in the computer unit 100 stores various data such as a total member data table (D1), a health condition standard calculation formula (D2), and individual determination data (D3). It also stores various data and programs necessary for system operation.

  The output unit 300 outputs (sends) various information such as a calculation result in the computer unit 100 (and the calculation unit 101), that is, a notification to individual members and a result of comparing data to the member's employer (company). ) Specifically, a printer that prints on paper, a mail server that notifies individual members by e-mail, message applications, etc., corporate personnel, general affairs, industrial physicians, and some information on various health promotion and disease prevention It is appropriate as a management server or the like for notifying a server of various external organizations responsible for medical care and nursing care. Hereinafter, each part will be described.

  The data table configuration unit 110 first collects a plurality of types of health condition information regarding one member. As described above, the aggregation of the health condition information is input from the terminals 11 and 12 to the computer unit 100 through the Internet line 10 or directly. Then, the data table configuration unit 110 aggregates a plurality of types of health status information for a plurality of members, and configures a total member data table (D1) for the corresponding members. The total member data table (D1) is stored (stored) in the storage unit 102.

  The schematic diagram of FIG. 2 is an example of the total member data table (D1), and is a table composed of a matrix. According to this example, “Gender (male: M, female: F)”, “age (year)”, “height (cm)”, “weight (kg)”, “1 day” Items of health status information such as “average number of steps (steps)”, “average daily sleeping hours (hours)”, and “monthly working hours (hours)” are collected. Although not specifically shown in FIG. 2, the time of aggregation of various health condition information becomes a problem. Therefore, for each health condition information, the “date of month” of the acquisition and, if necessary, the time are added to each item.

  The column also summarizes the numerical values of the items of the health status information for each member. As a result, it is possible to list the items of the health state information and the member states as corresponding tables. In addition, since everything is digitized, subsequent processing (data processing) is easy. The items of the health condition information constituting the total member data table (D1) are not limited to the table shown in the figure, and can be arbitrarily selected and rearranged as necessary. For example, it is appropriately changed depending on the manager of the member, the type of business of the employer, or the priority item. For example, health status information such as blood cholesterol level (its evaluation score) can be added.

  The reference calculation formula generation unit 120 generates a health condition reference calculation formula (D2) based on the reference values related to the plurality of types of health condition information described above. The generation of the health condition standard calculation formula (D2) is not limited, and is appropriate as long as a predetermined standard value for each health condition information is utilized. For example, taking into account the amount of divergence between a predetermined reference value for each health condition information and a test value or the like of each member's health condition information. However, if such a total is used, the contribution amount of each health condition information is buried, and the final evaluation may be difficult.

  More precisely, when comprehending the overall health status information of individual members, multiple regression analysis is performed using a predetermined reference value regarding a plurality of types of health status information as a variable to generate a health status criteria calculation formula (D2) be able to. The health condition standard calculation formula (D2) is stored (stored) in the storage unit 102.

For example, when calculating the health condition reference formula (D2α) and its score value (S _M ), “BMI”, “systolic blood pressure at diagnosis”, “diastolic blood pressure at diagnosis” from the health condition information, Select “Fasting blood glucose level at diagnosis”. In this case, the reference calculation formula generation unit 120 determines that “the score value (S _M ) of the member (M) = {α1 × BMI + α2 × systolic blood pressure at diagnosis + α3 × diastolic blood pressure at diagnosis + α4 × hungry at diagnosis” The health condition standard calculation formula (D2) is generated as “stage blood glucose level + α0}”. In the formula, α1, α2, α3, and α4 are coefficients, and α0 is a constant.

Alternatively, when obtaining the health condition standard calculation formula (D2β) and its score value (S _M ), select “BMI”, “average daily steps”, and “average sleep time per day” from the health status information. To do. In this case, the reference calculation formula generation unit 120 sets the health state as “score value (S _M2 ) of member (M) = {β1 × BMI + β2 × average daily step count + β3 × daily average sleep time + β0}”. A reference calculation formula (D2) is generated. In the formula, β1, β2, and β3 are coefficients, and β0 is a constant.

  The calculation of the reference value in the reference calculation formula generation unit 120 can be further supplemented as follows. For example, at the age of 20, all the medical examination data are within the reference value (and, for example, within the reference value and within the median value ± 10%), the score of 800 points, the score value of all the people who are outside the reference value Determined as 200 to 0 points (depending on the degree of deviation). Taking into account the results of 24-hour vital data and genetic tests (collectively referred to as other health condition information), the reference value is set to a range of 0 to 1000 points.

  Using the deduction calculation formula for each evaluation item of the person who deviates from the score value defined above, the standard calculation formula generation unit 120 obtains a calculation formula for calculating the individual's score value, and the individual medical examination data and other health The final score value is calculated through the input of state information.

  In the multiple regression analysis, first, explanatory variables are simply fixed. Then, the value of the score and the constant of the multiple regression equation for a certain individual is calculated as to the closest to the calculated individual score, recalculated from the result, and how much of the explanatory variable is Use it to determine if it works for that individual.

  When generating the health condition standard calculation formula (D2) in the standard calculation formula generation unit 120, the health condition information items are narrowed down in advance to understand the relevance with a specific item, and further, the health condition information items The closeness between them can also be grasped. Therefore, epidemiological advice is possible after the fact, based on the relationship between the obtained score value and the actual health status of the member. Furthermore, by prescribing the items of the health condition information in advance, it is possible to efficiently calculate the score value while preventing an increase in the number of items and the calculation amount more than necessary. Of course, the health condition standard calculation formula is not limited to the above formula, and health status information can be added or changed as needed according to the operation status of the system. Moreover, the correction coefficient for ensuring the continuity after a change can be considered.

  In addition, the reference calculation formula generation unit 120 can also automatically detect the web pages 31 and 32 (homepage) by crawling the known websites 25 and 26. And the predetermined reference value regarding multiple types of health condition information can be extracted from the web pages 31 and 32. A so-called reference calculation formula generation unit 120 functions as a bot or the like, and stores (stores) a predetermined reference value related to health state information in the storage unit 102.

  As can be understood from this explanation, in the generation of the health condition standard calculation formula (D2), the information is updated as needed. In addition, acquisition from a publicly known website and formation of a reference table are automated, and labor saving is possible. For this reason, the user of the system of the present invention can always use the latest information. Moreover, it is possible to provide high-quality services at a low cost. In other words, it can be said that the barriers to the introduction of systems and the like are low.

  The individual-specific determination data generation unit 130 includes a plurality of types of health state information regarding one member in the total member data table (D1) and a plurality of types regarding one member included in the health state standard calculation formula (D2). Compare health status information with corresponding types of health status information. Then, individual-specific determination data (D3) relating to one member is generated.

The generation of the individual-specific determination data (D3) can be calculated as a score value (S _M ) by substituting numerical values (measured values) of the health condition information of individual members into the health condition standard calculation formula (D2). For example, when the score value (S _M ) (that is, individual-specific determination data (D3)) of the health condition standard calculation formula (D2α) of a certain member (M) is obtained, the health condition information of the member (M) is measured. The values “BMI”, “systolic blood pressure at diagnosis”, “diastolic blood pressure at diagnosis”, and “fasting blood glucose level at diagnosis” are substituted into the health condition reference calculation formula (D2α). The score value (S _M ) of the health condition standard calculation formula (D2β) can be similarly calculated by substitution.

  The individual-specific determination data generation unit 130 calls the total member data table (D1) and the health condition standard calculation formula (D2) from the storage unit 102. The generated individual determination data (D3) is stored (stored) in the storage unit 102.

  After that, the output unit 300 and the like provide information about the members themselves, their employers / administrators, industrial physicians, and some information to servers of various external organizations responsible for various health promotion, disease prevention, medical care, and nursing care. Notify by e-mail, message application, etc., including written printing. A method such as output is appropriate. Of course, the information based on the individual-specific determination data (D3) is stored for a certain period because it is necessary to confirm improvement by tracking over time.

  According to the determination and evaluation based on the individual determination data (D3) described above, individual health condition information of individual members is compared with national, local, and group statistics. Therefore, the individual members can be aware of the quality of the individual health condition information and work on improvement.

  Since the output unit 300 functions as a notification unit, in addition to outputting information to the members themselves and the above-mentioned related parties, the individual determination data and various score values are compared and visualized daily and provided to the user. To do. And it becomes possible for a user to connect with action by knowing the method and progress of health promotion. The output unit 300 can complement a so-called PDCA function or the like. In this way, it is possible to recommend an action plan (suggestion), and the effect can be further enhanced.

  For efficient proposal from the output unit 300, the computer unit 100 further includes a rule engine unit 310. The rule engine unit 310 analyzes the influence of the individual period (daily, one month, etc.) of the individual members (group in the embodiment described later) on the individual determination data (D3), the score value, etc. Estimate what kind of efforts are effective first and what combination is effective. For example, the rule engine 310 unit derives whether jogging should be 10 minutes every day or 1 hour every other day. The rule engine unit 310 has a function of automatically generating and providing an optimum correspondence menu for individual members. Also, risk analysis of overload is performed, and warnings such as “Don't work harder” are reported to the corresponding members through the output unit.

  Next, the member health condition management system 2 according to the second embodiment will be described with reference to FIG. The member health condition management system 2 of the second embodiment is a system that makes it possible to grasp the trends of the entire group by comparing the group to which the member belongs and another group other than the group to which the member belongs. In the member health condition management system 2, the Internet line 10, the terminals 11, 12, the computer unit 100, the output unit 300 (notification unit), the rule engine unit 310, and the like are the same as the system of the first embodiment. Further, servers 13 and 14 are added. These servers accumulate health status information acquired from medical examinations, and further health status information acquired from biological information that changes from day to day.

  The computer unit 100 (and the calculation unit 101) of the second embodiment includes a data table configuration unit 110, a reference calculation formula generation unit 120, an individual determination data generation unit 130, an individual determination data generation unit 140, and an inter-group data comparison. Corresponds to the portion 150. The storage unit 102 provided in the computer unit 100 includes a total member data table (D1), a health condition reference calculation formula (D2), individual determination data (D3), first group determination data (D4), and second group determination. Various data such as data (D5) and inter-group comparison data (D6) are stored. It also stores various data and programs necessary for system operation. Note that the data table configuration unit 110 to the individual-specific determination data generation unit 130 are the same, and thus the description thereof is omitted.

  The group-specific determination data generation unit 140 aggregates the individual-specific determination data (D3) of each member for the members of the group to which one member belongs (first group), and obtains the first group determination data (D4). Generate. Furthermore, the group-specific determination data generation unit 140 also aggregates the individual determination data (D3) of each member for members of a group (second group) different from the members of the first group, thereby determining the second group. Data (D5) is generated. The terms of the first group and the second group are expressions for convenience in distinguishing between the groups. Even if the groups to be compared are further expanded to a plurality of groups (third group, fourth group, etc.), comparison between groups can be performed by the same repetition.

  As described above, the individual determination data (D3) is digitized. Therefore, when the individual-specific determination data (D3) is aggregated, the group-specific determination data generation unit 140 adds a part or all of the individual determination data (D3) of the members constituting the group to the total or average (additive). The first group determination data (D4) is generated by mathematically (or statistically) processing such as calculation of an average, geometric average, or harmonic average) and median. For the second group different from the first group (various groups such as different business establishments, different companies, and other local governments in the same company), the group-specific determination data generation unit 140 similarly selects the second group. Second group determination data (D5) is generated through mathematical (or statistical) processing from part or all of the individual determination data (D3) of the constituent members. In this way, the tendency of the entire members belonging to the group can be grasped depending on the numerical value.

  The inter-group data comparison unit 150 compares the numerical values of both the first group determination data (D4) and the second group determination data (D5). Then, the inter-group data comparison unit 150 generates inter-group comparison data (D6) based on the comparison between the first group and the second group. Comparison between numerical values is usually obtained as “difference”. The storage unit 102 also stores (stores) the first group determination data (D4), the second group determination data (D5), the inter-group comparison data (D6), and the like.

  For example, the first group determination data (D4) for the members belonging to the first group is a numerical value “87.43” from the arithmetic mean calculation, and the second group determination data (D5) for the members belonging to the second group Is a numerical value “85.67” based on arithmetic mean calculation. In this case, the difference between the two, that is, the inter-group comparison data (D6) is “1.76” (numeric difference, difference value). Therefore, through numerical comparison of the comparison data (D6) between groups (including positive / negative relationship), the difference from the better group is specifically grasped, and the improvement point of the group from the current situation is recognized. . By repeating such comparison with other groups, it becomes possible to grasp relativity and improvement items with other groups.

  The inter-group comparison data (D6) derived from the first group determination data (D4) and the second group determination data (D5) is a comparison between relatively limited items as can be seen from its origin. Therefore, the inter-group comparison data (D6) is effective when comparing specific health condition information in the group with specific health condition information of another group. Furthermore, the comparison between groups can be expanded to a comprehensive quality comparison in consideration of the relevance among a plurality of health status information of individual members. As the number of comparative samples increases between populations, epidemiological findings also accumulate. Therefore, the way of future use will expand.

  Furthermore, the above-described storage unit 102 accumulates various types of data so that a change in improvement by an individual of one member, daily changes by organization and group, and comparison before and after the efforts as an organization can be compared. Therefore, the estimation accuracy by the rule engine unit 310 is improved, and notification from the output unit 300 (notification unit) based on this is also possible.

  The member health condition management method (M1) according to the first embodiment of the present invention will be described with reference to the process diagram of FIG. That is, the computer unit 100 (see FIG. 1) processes the data table configuration step (S110), the reference calculation formula generation step (S120), the individual determination data generation step (S130), and the output step (S300) (notification step). To do. A data storage step (S400) (not shown) is also added to the process. Since the execution and processing of each step is the same as the description of each unit in the computer unit 100 described above, a duplicate description is omitted.

  In the data table configuration step (S110), a plurality of types of health status information relating to one member are aggregated for a plurality of members. Then, the total member data table (D1) is constructed (see FIG. 2). The data table configuration step (S110) is processed in the data table configuration unit 110.

  In the reference calculation formula generation step (S120), the health condition reference calculation formula (D2) is generated based on the reference values regarding the plurality of types of health condition information. The details and explanation of the health condition standard calculation formula (D2) are as described above. The reference calculation formula generation step (S120) is processed in the reference calculation formula generation unit 120.

  In the individual determination data generation step (S130), individual state determination data (D3) relating to one member is generated. That is, a plurality of types of health condition information relating to one member in the total member data table (D1) are read out. In addition, a plurality of types of health status information related to the one member included in the health status standard calculation formula (D2) are also read out. And individual state determination data (D3) regarding one member is generated from the comparison of the mutual health state information. The individual determination data generation step (S130) is processed in the individual determination data generation unit 130.

  In the output step (S300) (notification step), the member himself / herself, the administrator of the member, the employer, etc. are notified by written printing, e-mail, message application, or the like. The output step (S300) is processed in the output unit 300.

  The member health condition management method (M2) according to the second embodiment of the present invention will be described with reference to the process chart of FIG. That is, the computer unit 100 (see FIG. 3) includes a data table configuration step (S110), a reference calculation formula generation step (S120), an individual determination data generation step (S130), an individual determination data generation step (S140), The inter-data comparison step (S150) and the output step (S300) (notification step) are processed. A data storage step (S400) (not shown) is also added to the process. Since the execution and processing of each step is the same as the description of each unit in the computer unit 100 described above, a duplicate description is omitted.

  From the data table configuration step (S110) to the individual determination data generation step (S130) in the member health status management method (M2) of the second embodiment, the member health status management method (M1) of the first embodiment described above. ).

  Subsequently, in the group-specific determination data generation step (S140), the individual determination data (D3) of each member for the members of the group (first group) to which one member belongs is aggregated to the first. Group determination data (D4) is generated. Furthermore, individual determination data (D3) of each member regarding members of a group (second group) different from the members of the first group is also aggregated to generate second group determination data (D5). The group-specific determination data generation step (S140) is processed in the group-specific determination data generation unit 140.

  In the inter-group data comparison step (S150), the first group determination data (D4) and the second group determination data (D5) are compared, and inter-group comparison data (D6) relating to the comparison between the first group and the second group. Generated. The inter-group data comparison step (S150) is processed in the inter-group data comparison unit 150.

  In common with the member health condition management methods (M1, M2) of the first and second embodiments, in the data storage step (S400) (not shown), the total member data table (D1), health condition standard calculation Various data such as formula (D2), individual state determination data (D3), first group determination data (D4), second group determination data (D5), and inter-group comparison data (D6) are stored (stored). . In addition, various data and programs necessary for system operation are also stored and stored. Various data, programs, and the like are processed in the storage unit 102 of the computer unit 100.

  The member health condition management program (P1) of the first embodiment has a data table configuration function (F110), a standard calculation formula generation function (F120), and an individual determination data generation function (F130). Execute.

  The member health condition management program (P2) according to the second embodiment has a data table configuration function (F110), a reference calculation formula generation function (F120), an individual determination data generation function (F130), a group A determination data generation function (S140) and an inter-group data comparison function (S150) are provided, and each of these functions is executed.

  In common with the member health condition management programs (P1, P2) of the first and second embodiments, the program also executes an output function (F300) (notification function) and a data storage function (F400). Each function is common to the above-described member health condition management systems 1 and 2 and the member health condition management method (M1, M2), and thus a duplicate description is omitted.

  The data table configuration function (F110) aggregates a plurality of types of health status information for one member for a plurality of members. Then, the total member data table (D1) is configured (see FIG. 2). The data table configuration function (F110) is executed by the data table configuration unit 110.

  The reference calculation formula generation function (F120) generates a health condition reference calculation formula (D2) based on reference values related to a plurality of types of health condition information. The details of the health condition standard calculation formula (D2) are as described above. The reference calculation formula generation function (F120) is executed by the reference data extraction unit 120.

  The individual determination data generation function (F130) generates individual state determination data (D3) related to one member. That is, a plurality of types of health state information regarding one member in the total member data table (D1) are read out. In addition, a plurality of types of health status information related to the one member included in the reference extraction data (D2) are also read out. And the individual state determination data (D3) regarding one member is produced | generated from the comparison of mutual health condition information. The individual determination data generation function (F130) is executed by the individual determination data generation unit 130.

  The group-specific determination data generation function (F140) aggregates the individual determination data (D3) of each member for the members of the group to which one member belongs (first group), and collects the first group determination data (D4). ) Is generated. Furthermore, individual determination data (D3) of each member for members of a group (second group) different from the members of the first group is also aggregated to generate second group determination data (D5). The group-specific determination data generation function (F140) is executed by the group-specific determination data generation unit 140.

  The inter-group data comparison function (F150) compares the numerical values of both the first group determination data (D4) and the second group determination data (D5). Then, inter-group comparison data (D6) based on the comparison between the first group and the second group is generated. The inter-group data comparison function (F150) is executed by the inter-group data comparison unit 150.

  The data storage function (F400) includes a total member data table (D1), health condition reference calculation formula (D2), individual condition determination data (D3), first group determination data (D4), and second group determination data ( D5) and various data such as group comparison data (D6) are stored (stored). It also stores and stores various data and programs necessary for system operation. Various data, programs, and the like are executed by the storage unit 102 of the computer unit 100. The data storage function (F400) corresponds to each embodiment, and necessary data is stored in each.

  The output function (F300) (notification function) notifies the member himself / herself and the member's employer, manager, etc., by written printing, e-mail, message application, or the like. The output function (F300) is executed by the output unit 300.

  The member health condition management program is provided in a state of being stored in a computer-readable storage medium. The storage medium stores the program in “a tangible medium that is not temporary”. The storage medium includes any appropriate storage medium such as HDD, SDD, or an appropriate combination of two or more thereof. The storage medium may be volatile, non-volatile, or a combination of volatile and non-volatile. The storage medium is not limited to these examples, and any device or medium may be used as long as it can store the program.

  Note that the terminals 11 and 12 and the computer unit 100 of the member health status management system 1 read out a program stored in a storage medium and execute the read program, for example, thereby a plurality of functional units shown in each embodiment. The function can be realized. In addition, the program can be provided to the terminals 11 and 12 via any transmission medium (communication network or the like). For example, the terminals 11 and 12 and the computer unit 100 execute the program downloaded via the Internet or the like, thereby realizing the functions of the plurality of functional units shown in the embodiments.

  The program can be implemented using, for example, a markup language such as an object-oriented programming language. At least some of the processes in the terminals 11 and 12 and the computer unit 100 may be realized by cloud computing including one or more computers.

  The member health status management system and the member health status management method of the present invention manage the health status of members by acquiring various health status information of members belonging to the member and utilizing various health status materials. , Can contribute to the improvement of initiatives. Furthermore, it can contribute to health management and improvement of efforts in the group to which members belong. Therefore, more detailed advice can be given to individual members or to the group to which the members belong.

1, 2 member health condition management system 10 Internet line 11, 12 terminal 13, 14, 21, 22 server 25, 26 web site 31, 32 web page 100 computer unit 101 arithmetic unit 102 storage unit 110 data table configuration unit 120 standard Calculation formula generation unit 130 Individual determination data generation unit 140 Group determination data generation unit 150 Inter-group data comparison unit 300 Output unit (notification unit)
310 Rule Engine

Claims (7)

A data table configuration unit that aggregates a plurality of types of health status information related to one member to form a total member data table;
A reference calculation formula generation unit that generates a health condition reference calculation formula based on reference values for multiple types of health status information;
A plurality of types of health status information related to one member in the total member data table and a type of health status corresponding to the plurality of types of health status information related to the one member included in the health status reference calculation formula A member health condition management system comprising: an individual determination data generation unit that compares the information and generates individual determination data related to the one member.   2. The member health condition management system according to claim 1, wherein in the reference calculation formula generation unit, the health condition reference calculation formula is generated by performing multiple regression analysis using a predetermined reference value related to a plurality of types of health status information as a variable. .   The member health condition management system according to claim 2, wherein the reference calculation formula generation unit detects a web page by crawling a website and extracts a predetermined reference value related to a plurality of types of health condition information from the web page. The first group determination data is generated by aggregating the individual determination data of each member for the members of the first group to which the one member belongs, and the second group is different from the members of the first group A group-specific determination data generation unit that generates the second group determination data by aggregating the individual determination data of each member with respect to
An inter-group data comparison unit that compares the first group determination data and the second group determination data to generate inter-group comparison data related to the comparison between the first group and the second group. The member health condition management system according to any one of the above.   The member health condition management system according to claim 4, further comprising a notifying unit that notifies the individual determination data or the inter-group comparison data. Computer part
A data table configuration step for aggregating a plurality of types of health information related to one member for a plurality of members to form a total member data table;
A standard calculation formula generation step for generating a health condition standard calculation formula based on a reference value for multiple types of health status information;
A plurality of types of health status information related to one member in the total member data table and a type of health status corresponding to the plurality of types of health status information related to the one member included in the health status reference calculation formula A member health condition management method comprising: processing individual determination data generation step of generating individual determination data related to the one member by comparing with information. The first group determination data is generated by aggregating the individual determination data of each member for the members of the first group to which the one member belongs, and the second group is different from the members of the first group A group-specific determination data generation step of generating the second group determination data by aggregating the individual determination data of each member with respect to
The inter-group data comparison step of comparing the first group determination data and the second group determination data to generate inter-group comparison data relating to the comparison between the first group and the second group. Member health condition management method.

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