JP2007072732A - Health design system - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To create a living-based healthy aging next-generation industry supporting a region. <P>SOLUTION: An analysis sector 8 is connected such that the analysis sector 8 bidirectionally communicates data with a medical information public center server 4 and bidirectionally communicates data with a My wellness diary part 6. The analysis sector 8 is connected such that the analysis sector 8 bidirectionally communicates data with a reference value server 9 and bidirectionally communicates data with a region analysis server 10. The analysis sector 8 inputs sickness data from the medical information public center server 4, inputs non-sickness data from a prevention health information public center server 7, calculates deviation data related to reference data in reference to the reference data preset by the reference value server 9, analyzes health condition of a group or an individual on the basis of the deviation data, and outputs countermeasure data to a sick (disease) medical treatment sector 2, and a health prevention sector 5 or the like. <P>COPYRIGHT: (C)2007,JPO&INPIT

Description

  The present invention relates to a health design system that provides a business model related to health and longevity.

  Conventionally, business model patents related to health have been proposed. For example, regarding health, “health diagnosis data processing method”, “distributed health management system”, “lifestyle improvement support device and recording medium”, “home health management system”, “health management support system and its control center”, “Health information providing method and apparatus” (Patent Documents 1 to 6) have been proposed. These inventions simplify the terminal device installed on the patient side, enable more detailed health management for individual patients, and automatically perform detailed checks based on personal health history for daily health data It provides health advice and health advice, and uses the Internet to maintain health and prevent disease while receiving guidance from medical staff.

  Business model patents for medicine have been proposed. For example, “medical information management system”, “regional medical information system”, and “medical net system” (Patent Documents 7 to 9) have been proposed. In these inventions, necessary medical information such as a medical history of a patient is registered, searched, and updated between specific hospitals, and medical information is shared, thereby improving the efficiency of medical examination.

  Business model patents related to evaluation criteria for illness and health have been proposed. For example, “examination support system”, “method for evaluating state relating to female body and psychology”, “health goal management system”, “support method and support method and support program for clinical treatment / clinical trial”, “medical support method, and "Medical support system", "Medical support method and medical support system" (Patent Documents 10 to 14) have been proposed. These inventions automatically create targets based on registration information that is the basis for judgment by doctors based on examination information, or comprehensively screen for illnesses and health conditions, good and bad Indexing from both, increasing the positive side, decreasing the negative side, and taking appropriate measures.

  Business model patents related to aging and nursing care have been proposed. For example, “aging check and rehabilitation system using the Internet”, “information service system in facilities such as hospitals and nursing homes”, “home medical management system” (Patent Documents 15 to 17), and the like have been proposed. These inventions provide a system that reduces the burden of expensive introduction costs and at the same time continuously manages data for each user at a nursing home or a geriatric health facility. In addition, the quality and quantity of incidental services other than medical and nursing care services provided to users such as hospitalized patients and home residents in facilities such as hospitals and nursing homes will be greatly expanded and expanded.

  Business model patents using modules have been proposed. For example, “a health management system, a health management device, a health management method, and a health management program” (Patent Document 18) may be mentioned. The present invention provides a health management system, a health management device, a health management method, and a health management program capable of presenting efficient and appropriate advice according to a user's condition using a module.

Patent 2584756 JP-A-10-124601 JP 2001-22837 A JP 2001-67403 A JP2003-187002 JP2004-227178A JP 7-311807 A JP-A-11-85875 JP2001256311 JP-A-8-335241 JP-A-11-76170 JP 2000-276525 A JP-A-2002-95641 JP 2002-207829 A JP 2000-297156 A JP2002-236745 JP2003-30330 JP2003-30330

  However, under the current situation in Japan, while promoting environmentally friendly manufacturing for the realization of a recycling-oriented society with less environmental burden, healing and anti-aging have been achieved for local residents and the elderly. However, there is a problem that a healthy and long-lived industry that supports a community of close living is not developed.

  The present invention eliminates such problems in the background art, and is the next to the healthy longevity type that supports healing and anti-aging for local residents and elderly people, etc. The goal is to create a generational industry.

  In view of the above, the invention according to claim 1 is grasped from a disease (disease) medical treatment sector having a plurality of disease data indicating disease states grasped from a disease (disease) medical care aspect and from a health prevention aspect. A health prevention sector comprising a plurality of non-disease data indicating a non-disease state, the disease data and the non-disease data are input, deviation data related to the data with respect to preset reference data is calculated, and the deviation And an analysis sector for analyzing the health status of individuals or groups based on the data. In the illness (disease) medical care sector, illness data is a record that has already emerged as a form. In the health prevention sector, non-disease data is still a record that is latent as a form. The purpose is to combine both disease data and non-disease data to analyze the health condition of an individual or a group. The term “health prevention sector” does not mean “preventing” “health” but “preventing” “disease” to become “health”.

  In the invention described in claim 2, it is preferable that the disease data is item data constituting an existing medical record or a medical checkup record.

  In the invention described in claim 3, it is preferable that the non-disease data is item data constituting a record of lifestyle habits.

  According to a fourth aspect of the present invention, the analysis unit analyzes the item data in which the deviation data exceeds the allowable range in the time series analysis of the individual based on the change over time, and calculates the excess value of the item data. Analyzing the item data in the direction of decreasing or the deviation data that falls below the allowable range in the time series analysis of the individual based on the change over time, and outputting countermeasure data in the direction of increasing the deficient value of the item data preferable. The health design system according to any one of claims 1 to 3. When the deviation from the permissible value of the item data is found, the analysis unit analyzes how to supplement the missing data and how to reduce the excessive data.

  In the invention described in claim 5, the reference data is preferably medical data based on a scientific basis and / or health data based on a scientific basis. The reference data is set based on what are called EBM and EBH.

  According to a sixth aspect of the present invention, the reference data is composed of reference data related to an individual and reference data related to a population, and the deviation data is created for each of the reference data. It is preferable.

  In the invention according to claim 7, it is preferable that the countermeasure data is at least health food or healthy living space data.

  In the invention according to claim 8, it is preferable that regional information is input to the disease data, non-disease data, and reference data, and the countermeasure data in consideration of regional factors is output by the regional analysis server.

  According to the ninth aspect of the present invention, it is preferable to output medical information data analyzed based on medical record data relating to a plurality of disease data as medical support data to a terminal of a medical institution.

  The invention described in claim 10 includes an aging degree diagnosis sector having a plurality of aging degree data indicating aging degree grasped from the aspect of medical care and nursing care, and a plurality of aging prevention indicating aging degree grasped from the aspect of aging prevention. An aging prevention sector comprising data, the aging degree data and the aging prevention data are input, and deviation data related to the data with respect to preset reference data is calculated, and based on the deviation data, an individual or group A health design system comprising an analysis sector for analyzing a health condition.

  In the invention according to claim 11, the aging degree data is preferably item data constituting an existing medical record or a medical examination record.

  In the invention described in claim 12, the aging prevention data is preferably item data constituting a record of lifestyle habits.

  According to a thirteenth aspect of the present invention, the item data in which the deviation data exceeds the allowable range in the individual time-series analysis is analyzed in time series based on the change over time, and the excess value of the item data is reduced. Alternatively, it is preferable that the item data whose deviation data is below the allowable range in the time series analysis of the individual is analyzed based on a change with time, and countermeasure data in a direction to increase the deficient value of the item data is output.

  In the invention described in claim 14, the reference data is preferably medical data based on a scientific basis and / or health data based on a scientific basis.

  In the invention described in claim 15, the reference data is composed of reference data related to an individual and reference data related to a population, and the deviation data is created for each of the reference data. It is preferable.

  In the invention described in claim 16, it is preferable that the countermeasure data is at least aging prevention food data or aging prevention living space data.

  In the invention according to claim 17, it is preferable that regionality information is input to the aging degree data, aging prevention data, and reference data, and the regional analysis server outputs countermeasure data in consideration of regional factors. .

  Preferably, the aging degree information data analyzed on the basis of the aging degree recording data regarding the plurality of aging degree data is output as medical support data to a terminal of a medical institution.

  According to the first aspect of the present invention, the disease data and the non-disease data are input, deviation data related to the data with respect to preset reference data is calculated, and an individual or a group is based on the deviation data. The analysis sector that analyzes the health status of people can ensure highly accurate health information for individuals or groups, and supports community-based communities with healing and anti-aging for local residents and the elderly It is possible to create a healthy and long-lived next-generation industry.

  According to the second aspect of the present invention, since the disease data is item data constituting an existing medical record or medical checkup record, an existing medical record or medical checkup record can be used effectively.

  According to the third aspect of the present invention, since the non-disease data is item data constituting a record of lifestyle habits, the health information that exists potentially can be used effectively and an effective analysis can be obtained.

  According to the invention described in claim 4, since the countermeasure data in the direction of decreasing the excess value of the item data or the direction of increasing the insufficient value of the item data is output, an effective health measure is given to the health design advisor, It is possible to present effective health measures with high accuracy to the user.

  According to the invention described in claim 5, since the reference data is medical data based on scientific basis and / or health data based on scientific basis, health design staff, doctors, nutritionists, counselors, etc. Advising a health design plan based on EBM and / or EBH and providing an opportunity for health promotion.

  According to a sixth aspect of the present invention, the reference data is composed of reference data related to an individual and reference data related to a population, and the deviation data is created for each of the reference data. Therefore, it is possible to provide precise health advice according to the personal health characteristics.

  According to the seventh aspect of the invention, since the countermeasure data is at least health food or healthy living space data, effective advice can be given to the user regarding the health food and healthy living space.

  According to the eighth aspect of the present invention, regional information is input to the disease data, the non-disease data, and the reference data, and the regional analysis server outputs countermeasure data in consideration of regional factors. It can be nurtured as a next generation health and longevity industry with close contact.

  According to the ninth aspect of the invention, since medical information data analyzed based on medical record data relating to a plurality of disease data is output to the medical institution as medical support data, medical support by the medical institution can be performed.

  According to the invention described in claim 10, as in claim 1, health information with high accuracy can be secured for an individual or a group, and there is healing and anti-aging (anti-aging) for local residents and elderly people. It is possible to create a healthy and long-lived next-generation industry that supports a community-based community.

  According to the eleventh aspect of the present invention, as in the second aspect, the existing medical record or health record can be effectively used for anti-aging.

  According to the twelfth aspect of the invention, similarly to the third aspect, the health information that exists potentially can be effectively used, and an analysis effective for anti-aging can be obtained.

  According to the thirteenth aspect, as in the fourth aspect, it is possible to give an effective anti-aging measure to the health design advisor and present an effective anti-aging measure with high accuracy to the user.

  According to the invention of claim 14, as in claim 5, the health design staff, doctor, nutritionist, counselor, etc. advises an anti-aging design plan based on EBM and / or EBH, and provides an opportunity for anti-aging. Can be given.

  According to the invention of the fifteenth aspect, similarly to the sixth aspect, it is possible to provide a precise anti-aging advice according to the individual's health characteristics.

  According to the sixteenth aspect of the present invention, effective anti-aging advice can be given to the user regarding the anti-aging food and the anti-aging living space.

  According to the invention of the seventeenth aspect, similar to the eighth aspect, it can be nurtured in a community-based next-generation anti-aging industry.

  According to the invention described in claim 18, as in the case of claim 9, it is possible to provide support for determination of anti-aging by a medical institution.

  The system configuration of the health design system 1 according to Embodiment 1 of the present invention will be described with reference to FIG. The illness (disease) medical treatment sector 2 is provided with a plurality of illness data indicating disease states that are clearly grasped from the aspect of illness (disease) medical care, and is input in a module type and displays the data in a module type. The medical record unit 3 includes a medical record public center server 4 that communicates data bidirectionally via the My medical record unit 3 and a network (not shown). The modules used in the My medical record unit 3 are a patient profiling module, diagnostic modules, a life information inquiry module, a progress recording module, a medication prescription history module, etc., and stored information is DNA information by personal DNA analysis, etc. is there. The My medical record unit 3 is installed in computers of various medical institutions, care facilities, and DNA analysis facilities. The electronic file stored in the My medical record unit 3 is disease data composed of medical records, medical records, surgical records, dental records, etc. by modalities such as CT, X-rays, and endoscopes. It is. For standardization, items to be included in the electronic medical record are determined to ensure versatility. Furthermore, care records at the care facility are also stored in the My medical record unit 3. The disease data is item data constituting an existing medical record or medical examination record, for example, blood glucose level, cholesterol level, X-ray photograph data, endoscopy result, and the like. My medical record unit 3 and medical information public center server 4 transmit disease data from My medical record unit 3 to medical information public center server 4 in the case of the first visit, and store the disease data. Analysis data is transmitted from the analysis sector 8 described later to the My medical record unit 3 via the medical information public center server 4. The communication between the My medical record unit 3 and the medical information public center server 4 may be online, memorial chip, card memory or the like. Personal information may be output only when a personal identification number is input to the card memory.

  The health prevention sector 5 is provided with a plurality of non-disease data indicating a non-disease state potentially grasped from the aspect of health prevention, and includes a My wellness diary unit 6, a My wellness diary unit 6, and a network (not shown). ) And a preventive health information public center server 7 that communicates data bidirectionally. Data recorded in the My wellness diary unit 6 includes walking records, fitness records, supplement intake records, meal records, sleep time records, daily physical information records, medication intake records, and the like. These non-disease data are stored in the preventive health information public center server 7. These non-disease data are item data constituting a record of lifestyle habits. For example, by recording according to an individual's lifestyle, for example, a record of meals such as eating too much oil is examined and digitized. Basically, the cause of illness is the accumulation of factors in an individual's lifestyle habits. In that sense, various items in the scene of life are recorded. The lifestyle includes food, kimono, living space, healing management (aromatherapy, etc.). The My wellness diary unit 6 is installed in computers such as restaurants, homes, exercise facilities, public halls, school insurance rooms, and the like.

  The analysis sector 8 is connected so as to bidirectionally communicate data with the medical information public center server 4 and bidirectionally communicate with the My wellness diary unit 6. The analysis sector 8 is connected so as to communicate data bidirectionally with the reference numerical value server 9 and communicate data bidirectionally with the regional analysis server 10. The analysis sector 8 inputs the disease data from the medical information public center server 4 and the non-disease data from the preventive health information public center server 7, and refers to the reference data preset by the reference numerical value server 9, Deviation data related to the data is calculated, the health condition of the individual or group is analyzed based on the deviation data, and countermeasure data is output to the disease (disease) medical care sector 2, the health prevention sector 5, and the like. . Here, to give a specific example of the relationship between disease data and non-disease data, the pigment of the yellow optic nerve head in the center of the retina contains vitamin C, but when this vitamin C becomes thin, it becomes impossible to protect light, Various diseases begin. If it is analyzed that visual acuity and macular pigment are related, it can be concluded that if vitamin C as a health food is supplied as countermeasure data, there is a possibility of returning to the original. When the test is performed again after the lapse of a predetermined period, as a result of supplementing vitamin C, the macular pigment returns, and the direction of vision loss can be prevented. Further, for example, when the measurement value of the blood cholesterol level of the user is 250 and it is determined from the reference values 180 to 220 of the population, it is analyzed that the cholesterol value is too high. If the next diagnostic value falls to 200 due to a diet that reduces fat, and falls within the normal range, the health of the user can be maintained. It is the analysis in the analysis sector 8 that analyzes these numerical values. There are two forms of analyzing the deviation of the personal data from the reference value of the individual and analyzing the deviation of the personal data from the reference value of the population.

  The reference numerical value server 9 stores average data for comparison such as average data by age and average distribution measurement data. The regional analysis server 10 stores regional information such as regional climate information and environmental factors. The reference data in the reference numerical value server 9 is medical data (EBMFact) based on a scientific basis and / or health data (EBHFact) based on a scientific basis. The reference data stored in the reference numerical value server 9 is composed of reference data related to individuals and reference data related to a population, and the deviation data is analyzed in the analysis sector 8 for both of the reference data. Created.

  The regional analysis server 10 performs a health prediction simulation, a rejuvenation degree simulation, a specific medical treatment onset simulation, a nursing care risk onset simulation, and the like. The regional analysis server 10 takes in the disease data, the non-disease data, and the reference data from the analysis sector 8, inputs regionality information, and outputs data in consideration of regional factors to the analysis sector 8. Diseases and health, for example, rheumatism is said to change depending on humidity and temperature, and analysis that reflects the land pattern can be performed. The simulation of the regional analysis server 10 is to predict whether the current life pattern will continue, maintain or rise. For example, if the current life pattern is continued, it is predicted that the risk of myocardial infarction will increase to 30% or 80% after a predetermined period. The long-term care risk simulation is a prediction of a long-term care need state. Rejuvenation simulation is usually a prediction of how much rejuvenation is relative to biological age.

  The health design system 1 includes an EBM storage area 11 and an EBH storage area 12 for outputting Fact to the analysis sector 8. In the EBM storage area 11, EBMACTs from clinical trials are accumulated in time series. In the EBH storage area 12, EBHFACT is accumulated in time series. The analysis server 8 preferably performs the above-described analysis in consideration of EBMACT and EBHFACT, and outputs countermeasure data. The EBH storage area 12 is configured so that facts from the health design tour device 13, the healthy living space device 14, the health food device 15, and the health fiber device 16 are input and accumulated in time series. The health design tour apparatus 13 includes a database 17 in which customer profiling and execution programs of a program execution customer are stored, and an analysis apparatus 18 that performs fact analysis and fact extraction based on data from the database 17. The healthy living space device 14 includes a database 19 in which facts such as customer profiling and negative ion space are stored, and an analysis device 20 that performs fact analysis and fact extraction based on data from the database 19. The health food device 15 includes a database 21 in which data such as customer profiling and the number of times the mandarin is eaten is stored, and an analysis device 22 that performs fact analysis and fact extraction based on data from the database 21. The health fiber device 16 includes a database 23 that stores data such as customer profiling and functional fiber / underwear, and an analysis device 24 that performs Fact analysis and Fact extraction based on the data from the database 23. The EBH storage area 12 stores information on alternative medical effects such as a relaxation effect, a stress reduction effect, and a diet effect.

  It is preferable that the reference numerical value server 9 can take in the reference values from the EBM storage area 11 and the EBH storage area 12. For example, when a certain medicine A is used, a user who has the gene A is 80% effective. However, a user who does not have gene A will receive a fact related to a drug that is 60% effective even if that drug A is used. One of the reference values for EBMACT and EBHFACT is a social average value. For hyperlipidemia, there is a reference value that hyperlipidemia is above a predetermined cholesterol level. The other is a reference value that indicates an index of health status for the individual. This is because there are variations among individuals. When the value of blood cholesterol is given, it is a normal value when measured after a predetermined period, but it is high within the range of the normal value. This indicates that the cholesterol level tends to increase. This is an acceptable range for the population, but not an acceptable range for individuals, as it is at risk of heading towards hyperlipidemia. In that sense, the reference value is taken from both the average reference value of the population and the reference value of the individual.

  The database 19 of the healthy living space device 14 includes three facts: body, mental stability, and social independence. For the body, for example, for barrier-free living spaces, if the degree of barrier-free is over and designed so that it can move without any obstacles, the muscles will atrophy and the worsening of symptoms will be accelerated by medical care. Fact is stored that indicates that it is better to have a barrier that allows people to exceed the living space. In addition, a fact of mental stability based on past history is stored. A life history is stored, for example, a fact that mental stability is obtained by remembering past family trips. Furthermore, with regard to dementia, if the degree of care is too high, the habit of thinking will be taken up, and dementia will progress further. Is stored. Those facts are analyzed by the analysis device 20 and transmitted to the EBH storage area 12. The EBH storage area 12 stores individual facts and population facts. For example, there is EBHFact, which means that if you take Fact at an aged facility, one person is more likely to maintain or recover from dementia, but at the same time, blood type and past life experience There is a fact that there is a difference in the way of developing dementia with respect to individuals. On the other hand, a fact that a two-generation house is better for individuals may appear. This is because the average EBHFact as a population is different from the EBHFact for the individual. In addition, as sleep countermeasure Fact, when sleeping, Takeshima Bridge may be projected on the wall and a sound of ripples may be output, thereby creating software for reproducing past memories in space. As an input, it is possible to create not only food and lifestyle habits but also an environment using information technology.

  It is an explanation of the negative ion space in the database 19, but if a user living in a residential 6 tatami space with ion air conditioning has a fact that the health index will increase, the air conditioning will be performed in the 6 tatami space. It may be possible to find out that allergies disappear after living for about half a year. If such a fact is entered as EBHFact, it can be used by another user. For example, “If you change your apartment and live in a room with 6 tatami mats with ion air conditioning, you will surely feel better after about 6 months.” I can give such advice.

  The analysis sector 8 analyzes the item data in which the deviation data exceeds the allowable range in the time series analysis of the individual based on the change over time, and reduces the excess value of the item data, or Item data whose deviation data falls below the allowable range in the time series analysis of the individual is analyzed based on the change over time, and countermeasure data in a direction to increase the deficient value of the item data is output to the outside. The countermeasure data is data on at least a healthy living space, health food (including supplements), and health fiber.

  The analysis sector 8 analyzes based on the medical record data collected from the My medical record unit 3 to the medical information public center server, changes the form as medical information data, and returns it to the My medical record unit 3 as medical support data. It may be output to the institution. By referring to the medical data of other specialists, specialists can provide highly accurate medical care, and users can go to other hospitals based on highly accurate data. There is an advantage of having a consistent examination. The doctor can analyze the analog diagnosis that the doctor has in a medical support manner and give feedback to the doctor. As a specific example, diabetes has symptoms in various places in the body, but doctors may be able to grasp only some of the symptoms. There is no data on hand for the doctor, but what kind of blood glucose level as diabetes was in the last time, what kind of state was the result in the image diagnosis, such image diagnosis data is obtained through the medical information public center server 4, Analysis data can be acquired from the analysis sector 8. If a user goes to an ophthalmologist with a memory card or chip and retrieves the data, the diagnosis of “diabetic retinopathy” can be made accurately. In this way, it is possible to diagnose illnesses that have been difficult to diagnose quickly and accurately by using them across doctors' specialized fields, and using EBMFact and EBHFact to provide medical support. Information can be provided.

Next, the operation of the health design system 1 according to the first embodiment will be described for each case.
A. When analyzing individual time-series pathological changes as deviation data The user registers basic data including his / her medical history, nutritional status, etc. in the My Medical Record Unit 3 and stores the data in the My Medical Record Unit 3 Diagnosis is made in each department. The diagnosis results made in each department are registered in the My medical record unit 3 and recorded as a medical history. Illness data, which shows medical records from multiple medical facilities such as internal medicine, ophthalmology, surgery, dentistry, and medical checkups, can be obtained from the disease (sickness) medical care sector 2 The data is sent to the information public center server 4 and recorded, and the analysis sector 8 takes in the data.

  Similarly, in the health prevention sector 5, for users who have been registered in the My Wellness Diary section 6, a walking record, fitness record, supplement intake record, meal record, sleep time record, daily physical information record, etc. To implement. Non-disease data that constitutes lifestyle records such as walking records, fitness records, supplement intake records, meal records, sleep time records, daily physical information records, etc. that indicate potentially unillnessed conditions from the health prevention perspective. , Sent from My wellness diary unit 6 to the preventive health information public center server 7 and stored, and taken into analysis sector 8. In order for the regional analysis server 10 to measure the actual health age, etc., the health prediction simulation, rejuvenation degree simulation, specific medical treatment onset risk simulation, nursing care onset risk onset simulation results, etc., local weather, environmental factors, etc. Incorporating and analyzing regional characteristics information. Information is exchanged between the analysis sector 8 and the regional analysis server 10 as necessary.

  Facts extracted by the analysis devices 18, 20, 22, and 24 are transmitted to the EBM storage region 11 and the EBH storage region 12, recorded as personal time-series accumulated data, and output to the analysis device 8.

  Facts extracted by the analysis devices 18, 20, 22, and 24 are transmitted to the EBM storage region 11 and the EBH storage region 12, recorded as personal time-series accumulated data, and output to the analysis device 8.

  The analysis device 8 analyzes deviation data based on disease data, non-disease data, and reference data, and uses EBM and EBH fact data accumulated in time series as countermeasure data. In the analysis sector 8 using the fact data, the deviation data is analyzed, and the countermeasure data obtained as a result of the analysis is output to the medical information public server 4 or the preventive health information public server 7. Thereby, the extraction fact obtained by the analysis result including the function information of the health design tour device 13, the healthy living space device 14, the health food device 15, the health fiber device 16 and the like is effectively reflected as a countermeasure result. The analysis includes treatment based on EBMFact, whether the living space based on EBHFact, and Fact such as health food are effective, and does not indicate only a numerical deviation.

B. When Analyzing Population Change as Deviation Data The registration status is the same as that of the above-mentioned item A, but in this case, information obtained from the reference numerical value server 9 is important. In order to compare with the average value as a population, the My chart 3 and the health prevention sector 5 are compared and analyzed for deviations using reference values related to the population of data in each server. Since the measures taken for the analysis result are the same as those in the section A, the above description is incorporated.

  Next, a business scheme of the health design tour to which the first embodiment is applied will be described with reference to FIG. This means planning a health design tour using a travel agency, etc., linking with the core facilities related to health and longevity, and providing the tour participants with a core facility for health and longevity as an entrance function of the health design tour. We can provide "advanced physical and mental health checkup", "exercise ability measurement", and one-stop youth health checkup. During the tour, the user stays at a health design base (such as an inn or hotel as a health design agent). Here, a health design advisor as a user's lifetime health agent is arranged to store and manage user health data. Traditional inns and hotel businesses can be used as health design bases for lifelong support of users' health. Condominium use is effective for users who can stay for a long time (several weeks). Condominium users can shop with a dietitian and health design advisor. In this way, it is possible to provide support for health recovery and daily health care by providing a variety of “easy and easy-to-get” health design programs that incorporate leisure factors.

Specific procedures using disease data, non-disease data, analysis data, fact, and countermeasure data according to the first embodiment are as follows.
a. Step 1
Measure the health status of users, such as physical fitness checks, lifestyle habits, and medical checks, in cooperation with health-related core facilities.
b. Step 2
Know the health status of the user, for example, physical fitness level, lifestyle habits, disease level, etc. other than those measured in Step 1 in cooperation with the health-related core facilities.
c. Step 3
A health designer advises users on health design. For example, physical fitness improvement such as walking and sports recreation, relaxation, diet therapy, lifestyle improvement such as supplements, disease prevention by the guidance of specialists, advisors, instructors, body relaxation, mental care, etc. are given. In addition, for example, if an analysis result of sick house syndrome comes out, it is advised to take measures. As a result, the analysis result that the house sick syndrome has been improved comes out. There are also mental problems. For example, people who tend to stay home and don't like to come to the checkup location, but if they come back with advice and accept it for about a year, and come back again, it may be better. After all, the results are not as good as expected, so when you analyze the contents again, the fact that these facts are important is newly added. Also, by assembling illness data and non-disease data, advice such as “What is manifested as a disease for you” or “Such illness is latent” can be given from this analysis result. Make up for the lack of food based on the results of the analysis, or supplement with functional supplements, or in some form of training or exercise, whether walking is better, or doing muscle training is not enough I will give advice on how to make up for things or reduce too much.

  According to the first embodiment, it is possible to provide an active health degree improvement program, enjoyment of health creation from “clothes, food and shelter”, and enjoyment of healing by body relaxation / mental health care. As a result, the next-generation long-life health industry can be nurtured.

Next, the health design system 101 of Embodiment 2 is demonstrated with reference to FIG. The description of elements common to the first embodiment is incorporated as appropriate. The difference is that the purpose has been changed from health management to anti-aging (mine aging) management. “Disease data” has been changed to “Aging data” and “Non-disease data” has been changed to “Aging prevention data”. The cage. Along with this, “illness (disease) medical care sector 2” is “aging diagnosis sector 102”, “health prevention sector 5” is “aging prevention sector 105”, and “medical information public center server 4” is “aging degree” “Information Public Center Server 104”, “Preventive Health Information Public Center Server 7” is “Aging Prevention Information Public Center Server 107”, “Healthy Living Space Device 14” is “Aging Prevention Living Space Device 114”, “Health Foods” The apparatus 15 is changed to the “aging prevention food apparatus 115” and the “health fiber apparatus 16” is changed to the “aging prevention fiber apparatus 116”. In addition, since it has the same configuration as that of the first embodiment, the detailed description is cited and the differences are mainly described.
The structure of the aging degree diagnosis sector 102 is different from the “sickness (disease) medical care sector 2” of the first embodiment, and bone density measurement data and blood vessels in consideration of the aging degree that is clearly grasped from the medical and nursing aspects. Aging status data such as aging degree, blood hormone, cataract progression degree, skin age, and aging degree data are provided. In the aging diagnosis sector 102, these data are stored in the My chart unit 103 as an aging medical record as an electronic file. In addition, the aging prevention sector 105 has a plurality of aging prevention data indicating an aging state in an unillnessed state that is potentially grasped from the aspect of aging prevention. It is composed of lifestyle records such as records, meal records, sleep time records, daily physical information records, etc., and serves as an indicator of progress of aging. The data recorded in the aging prevention sector 105 has the same contents as the data recorded in the health prevention data 5 of the first embodiment, but is used from the viewpoint of preventing aging. For the health design tour device 113, the aging prevention living space 114, the aging prevention food device 115, and the aging prevention fiber device 116, aging-related facts are accumulated and extracted, and the facts are transmitted to the EBH storage area. The analysis sector 108 performs analysis related to the degree of aging.

  Next, regarding the operation of the health design system 101 of the second embodiment, A. B. When analyzing time-series changes in individual aging as deviation data, In the case of analyzing population changes as deviation data, the terms A and B of the first embodiment are used. “Disease (disease) medical care” is read as “aging diagnosis”, “health prevention” or “health” as “aging prevention”, “rejuvenation simulation” as “aging simulation”, and the like. The “health design tour” in FIG. 2 can be read and applied to the “anti-aging tour”.

  As in the first embodiment, the next-generation health and longevity industry can be nurtured with respect to anti-aging. In other words, the second embodiment can provide anti-aging that takes into account regional characteristics and anti-aging that makes full use of cutting-edge technology, creating new tourism and health service industries, developing and selling supplements and anti-aging foods, and comfortable living environment products. Development and sales of the city will revitalize the local industry, and it will be possible to create a town that will rejuvenate when you live in the area.

  The embodiment of the present invention has been described above, but the present invention is not limited to the contents of the embodiment of the present invention, and it goes without saying that various forms can be adopted as long as they belong to the technical scope of the present invention. For example, the analysis sector 8 and the analysis sector 108 used in this description may use the same analysis sector in the disease (disease) diagnosis sector 2 and the aging diagnosis sector 102, the health prevention sector 5 and the aging prevention sector 105. . The results of the analysis function and the diagnosis results are systems that take IT (Information Technology) into consideration, and although not shown, users registered in the health design system go to the public servers 4 and 7. It is well known that the user's individual health-related information can be browsed freely by performing the above verification.

1 is a system configuration diagram of a health design system 1 according to Embodiment 1 of the present invention. 1 is a system configuration diagram of a health design tour to which Embodiment 1 of the present invention is applied. It is a system block diagram of the health design system 101 concerning Embodiment 2 of this invention.

Explanation of symbols

DESCRIPTION OF SYMBOLS 1 ... Health design system 2 ... Disease (disease) medical treatment sector 3 ... My medical record part 4 ... Medical information public center server 5 ... Health prevention sector 6 ... My wellness diary part 7・ ・ ・ Preventive health information public center server 8 ・ ・ ・ Analysis sector 9 ・ ・ ・ Reference value server 10 ・ ・ ・ Regional analysis server 11 ・ ・ ・ EBM storage device 12 ・ ・ ・ EBH storage device 13 ・ ・ ・ Health design Tour device 14 ... Healthy living space device 15 ... Health food device 16 ... Health fiber device 17, 19, 21, 23 ... Database storage device 18, 20, 22, 24 ... Analysis device 101 ... Health design system 102 ... Aging diagnosis sector 103 ... My chart section 104 ... Aging information public center server 105 ... Aging Health Prevention Sector 106 ... My Wellness Diary 107 ... Aging Prevention Information Public Center 108 ... Analysis Sector 109 ... Reference Value Server 110 ... Regional Analysis Server 111 ... EBM Storage Device 112 ... EBH storage device 113 ... Health design tour device 114 ... Aging prevention living space device 115 ... Aging prevention food device 116 ... Aging prevention fiber device 117, 119, 121, 123 ... Database Storage device 118, 120, 122, 124 ... analysis device

Claims (18)

Sickness (disease) treatment sector with multiple illness data indicating disease status ascertained from the aspect of illness (disease) care,
A health prevention sector with multiple non-disease data indicating a non-disease status ascertained from a health prevention perspective,
An analysis sector that inputs the disease data and the non-disease data, calculates deviation data related to the data with respect to preset reference data, and analyzes the health status of individuals or groups based on the deviation data;
A health design system characterized by   2. The health design system according to claim 1, wherein the disease data is item data constituting an existing medical record or a medical examination record.   The health design system according to claim 1, wherein the non-disease data is item data constituting a record of lifestyle habits.   The item data whose deviation data exceeds the allowable range in the time series analysis of the individual is analyzed in time series based on the change over time, and the direction in which the excess value of the item data is decreased, or the deviation data is The health design system according to any one of claims 1 to 3, wherein item data that falls below an allowable range in time series analysis is analyzed based on a change with time, and countermeasure data in a direction to increase a deficiency value of the item data is output.   The health design system according to any one of claims 1 to 4, wherein the reference data is medical data based on a scientific basis and / or health data based on a scientific basis.   The reference data is composed of reference data related to an individual and reference data related to a population, and the deviation data is created for each of the reference data. Health design system.   The health design system according to any one of claims 4 to 6, wherein the countermeasure data is at least health food or healthy living space data.   The health design system according to any one of claims 1 to 7, wherein regional information is input to the disease data, the non-disease data, and the reference data, and the regional analysis server outputs countermeasure data in consideration of regional factors.   The health design system according to claim 2, wherein medical information data analyzed based on medical record data regarding a plurality of disease data is output to a medical institution as medical support data. Aging diagnosis sector comprising a plurality of aging data indicating the aging level grasped from the medical and nursing aspects,
An aging prevention sector comprising a plurality of aging prevention data indicating the degree of aging understood from the aspect of aging prevention;
An analysis sector that inputs the aging degree data and the aging prevention data, calculates deviation data related to the data with respect to preset reference data, and analyzes the health condition of an individual or a group based on the deviation data; ,
A health design system characterized by   11. The health design system according to claim 10, wherein the aging degree data is item data constituting an existing medical record or a medical examination record.   The health design system according to claim 10, wherein the aging prevention data is item data constituting a record of lifestyle habits.   The item data whose deviation data exceeds the allowable range in the time series analysis of the individual is analyzed in time series based on the change over time, and the direction in which the excess value of the item data is decreased, or the deviation data is The health design system according to any one of claims 10 to 12, wherein in the time series analysis, item data that falls below an allowable range is analyzed based on a change with time, and countermeasure data in a direction to increase a deficiency value of the item data is output.   The health design system according to any one of claims 10 to 13, wherein the reference data is medical data based on a scientific basis and / or health data based on a scientific basis.   15. The reference data is composed of reference data related to individuals and reference data related to a population, and the deviation data is created for each of the reference data. Health design system.   The health design system according to any one of claims 13 to 15, wherein the countermeasure data is at least aging prevention food data or aging prevention living space data.   The health design system according to any one of claims 10 to 16, wherein regional information is input to the aging degree data, aging prevention data, and reference data, and countermeasure data in consideration of regional factors is output by a regional analysis server.   The health design system according to claim 11, wherein the aging degree information data analyzed based on the aging degree record data regarding the plurality of aging degree data is output to a medical institution as medical support data.

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