KR20220108874A - Health care device and method using the same - Google Patents

Abstract

The present invention relates to a health management device. The health management device comprises: a personal terminal owned or used by an individual and automatically having individual lifestyle data and health information data acquired or input; and a health management server communicating with the personal terminal, having a database which stores the lifestyle data and health information data transmitted from the personal terminal, and having an artificial intelligence analysis unit which analyzes a life pattern and health condition of the individual based on the lifestyle data and health information data stored in the database. In addition, the health management server transmits action guidelines to the personal terminal before a time when an action affecting the health condition is expected to occur during the life pattern of the individual. Accordingly, the present invention improves health by improving a habitual life pattern.

Description

Health care device and method using the same}

The present invention relates to a health management device and method, which collects various personal lifestyle data and periodically acquired health information data and analyzes it to predict a specific behavior in the future, and thus predicts a specific behavior before the specific behavior occurs It relates to a health care device and method that provides guidelines for correct lifestyle in advance.

In Korea, as the elderly population continues to increase and the disease structure centered on chronic diseases is changing, the national medical expenses are increasing rapidly. Accordingly, the healthcare paradigm is also changing from disease treatment to disease prevention.

According to the statistical data of the Ministry of Public Administration and Security, it officially entered the aging society in August 2017, and the resident registration population aged 65 and over accounted for 14.02% of the total population, and over 20% of each region entered the super-aged society. There are also (16 city districts, 71 county districts, and 6 old districts). In addition, according to the '2017 Health Insurance Medical Expense Statistics' by the National Health Insurance Corporation and the Health Insurance Review and Assessment Service, the medical expenses covered by health insurance stood at 69,335.2 billion won, an increase of 7.4% from the previous year. It was found that the medical expenses for the elderly accounted for 39.9% of the total, which is the main reason.

Although medical expenses are increasing due to chronic diseases in the elderly, the reality is that the dissemination and popularization of effective measures for proactive prevention are still insufficient. According to a report titled 'Efficient Management of Medical Expenses for the Elderly in Health Insurance', it is emphasized again that, although the current cost is spent only on treating diseases that have already occurred, preventing diseases in advance is very effective in reducing medical expenses. Accordingly, in recent years, the need to develop an efficient disease prevention service program using artificial intelligence and big data analysis technology is emerging.

Current technology can effectively acquire information on individual life patterns and activity levels through wearable devices such as smartphones, tablets, or smart bands, and measure weight, body temperature, blood pressure, blood sugar, cholesterol, oxygen saturation, and electrocardiogram. Measuring various health information including health information at the individual level is also reaching the level of commercialization.

Therefore, a foundation that can guide individuals' lifestyles in a healthy direction by acquiring information in various ways through various personal terminals possessed or used by individuals, and processing and analyzing this information using artificial intelligence and big data analysis technology. can be established, the present invention is to provide an efficient health care apparatus and method for this.

Korean Patent Publication No. 10-2020-0134545 (published on Dec. 02, 2020)

The present invention provides a health care method and apparatus capable of predicting in advance that a certain behavior will occur based on an individual's life pattern, and thus giving correct guidelines to promote personal health before the specific behavior occurs Its purpose is to provide

The present invention relates to a health management device, comprising: a personal terminal possessed or used by an individual, the personal terminal for automatically acquiring or inputting personal lifestyle data and health information data; and a database that communicates with the personal terminal and stores the lifestyle data and health information data transmitted from the personal terminal, wherein the personal data is based on the lifestyle data and health information data stored in the database. health management server having an artificial intelligence analysis unit for analyzing life patterns and health conditions of It is characterized in that the action guide is transmitted to the personal terminal.

The personal terminal may include a smartphone, tablet, and wearable device capable of location tracking and input of questionnaire data for lifestyle, and also includes weight, body temperature, blood pressure, blood sugar, cholesterol, oxygen saturation, electrocardiogram, etc. It may include a health device capable of acquiring health information data and transmitting it to the health management server.

In addition, the health management server may analyze the individual's life pattern based on the location information transmitted from the personal terminal and the questionnaire data on the lifestyle.

And, the questionnaire data on the lifestyle includes the individual's genomic information, and the genomic information includes body fat percentage, strength training suitability, body mass index, blood sugar, sweetness sensitivity, caffeine metabolism, sleep time, recovery ability after exercise, muscle development Information regarding one or more of ability, L-arginine concentration, blood pressure, zinc concentration, and magnesium concentration may be included.

In addition, the health management server may transmit an action guide to the personal terminal based on the personal life pattern, health information data transmitted from the health device, and the genome information.

Here, the behavioral guidelines transmitted by the health management server include one or more behavioral contents including meals, exercise, medication, sleep, and stress relief.

In addition, the health management server analyzes the change trend of health information data transmitted from the health device after transmitting the action guidelines, and the strength and frequency of the action guidelines in a direction to improve the health status on the health information data. , can be edited.

In addition, the health management server may supplementally use cohort data in a state in which the lifestyle data and health information data transmitted from the personal terminal are collected below a preset standard.

On the other hand, the present invention comprises the steps of automatically acquiring or inputting the personal lifestyle data and health information data through a personal terminal possessed or used by an individual; and, a health management server performs communication with the personal terminal, storing the lifestyle data and health information data transmitted from the personal terminal in a database, and analyzing the individual's lifestyle and health status based on the lifestyle data and health information data stored in the database; and transmitting, by the health management server, an action guide to the personal terminal before a point in time when an action affecting the health state is expected to occur during the individual's life pattern.

The health care device and method of the present invention having the above configuration collects various individual behavioral patterns, classifies them in association with actual health, and after a certain point in time, through prior intervention before individual behavior occurs. It enables behaviors that are beneficial to health, and for post-actions, it is possible to naturally induce modification of health behaviors through its influence and other suggestions.

In particular, the present invention is very helpful in improving health by improving habitual life patterns by providing behavioral guidelines beneficial to health through prior intervention before a specific behavior of an individual occurs.

1 is a view showing the overall configuration of a health care device according to the present invention.
FIG. 2 is a diagram illustrating an algorithm in which the health care device of FIG. 1 is operated; FIG.
3 is a diagram showing an example of genome information, which is one of questionnaire data for lifestyle.
4 is a diagram illustrating an example of an action guide provided by a health management server.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings. Advantages and features of the present invention, and a method for achieving them will become apparent with reference to the embodiments described below in detail in conjunction with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below, but may be implemented in various different forms, and only these embodiments allow the disclosure of the present invention to be complete, and common knowledge in the technical field to which the present invention belongs It is provided to fully inform the possessor of the scope of the invention, and the present invention is only defined by the scope of the claims. Like reference numerals refer to like elements throughout.

Unless otherwise defined, all terms (including technical and scientific terms) used herein may be used with the meaning commonly understood by those of ordinary skill in the art to which the present invention belongs. In addition, terms defined in a commonly used dictionary are not to be interpreted ideally or excessively unless clearly specifically defined. The terminology used herein is for the purpose of describing the embodiments and is not intended to limit the present invention. In this specification, the singular also includes the plural unless specifically stated otherwise in the phrase.

As used herein, “comprises” and/or “comprising” refers to a referenced component, step, operation and/or element of one or more other components, steps, operations and/or elements. The presence or addition is not excluded.

1 is a diagram schematically illustrating the overall configuration of a health management device 10 according to the present invention, and FIG. 2 is a diagram illustrating an algorithm in which the health management device 10 of FIG. 1 is operated. The present invention will be described in detail with reference to the accompanying drawings.

The present invention relates to a health care device (10), and includes one or more personal terminals (100) used by an individual and a health care server (200) communicating with the personal terminals (100).

The personal terminal 100 refers to a device that is owned or used by an individual and communicates with the health management server 200 . Here, an individual's possession means that he or she always keeps a close distance in daily life, and commercial use means that he or she keeps it in his or her activity space and uses it frequently or periodically. For example, a smartphone or a smart band corresponds to a terminal possessed by an individual, and a desktop PC, an IoT scale, etc. correspond to a commercially available terminal mounted in a certain space. Communication of the personal terminal 100 includes both wired communication and wireless communication, and is a comprehensive concept including not only long-distance communication but also short-distance communication via a hub.

The personal terminal 100 serves to automatically acquire or manually input personal lifestyle data and health information data. The lifestyle data may include data on daily lifestyle habits, such as eating habits or exercise amount, sleeping time, whether and not smoking and/or drinking, a place where you spend the main time (home, work, etc.), and a job group. In addition, questionnaire data such as health checkup information or family history, and health information data such as height may also be input in the form of a questionnaire. As described above, although it is difficult to automatically acquire the lifestyle data and health information data manually input through the personal terminal 100, in most cases, they are essential data for understanding the basic state of an individual's health.

Other than the manually input data, it is preferable to be automatically and periodically acquired through the personal terminal 100 . That is, through the personal terminal 100, location information (GPS coordinates, etc.), motion information (frequency of hand tremor, duration, etc.), image information (image, video, etc.), voice information (cough, breathing, voice tremor, etc.) , information on use (call time, call frequency, search time, search engine, SNS, messenger, etc.) is automatically and/or periodically acquired, such as respiratory diseases, infectious diseases, cerebro-cardiovascular diseases, mental disorders, depression, etc. It is possible to predict various diseases, modify proactive behaviors, and prevent them.

The personal terminal 100 may include a smartphone, tablet, and wearable device capable of location tracking and input of questionnaire data for lifestyle, and also includes weight, body temperature, blood pressure, blood sugar, cholesterol, oxygen saturation, electrocardiogram, etc. It may include a health device capable of acquiring health information data including

The health device preferably incorporates IoT technology and the measured data is transmitted to the health management server 200 as wireless or wired communication. By the IoT technology, the health management server 200 can automatically determine which data the corresponding health device is measuring, and the measured data is transmitted to the health management server 200 together with time information, if necessary. The health device may be partially controlled by the health management server 200 .

In addition, the health management server 200 communicates with the personal terminal 100 and includes a database 210 for storing lifestyle data and health information data transmitted from the personal terminal 100 . In addition, the health management server 200 is provided with an artificial intelligence analysis unit 220 that analyzes the life pattern and health status of the individual based on the lifestyle data and health information data stored in the database 210 . The artificial intelligence analysis unit 220 analyzes the life pattern and health status of the individual through algorithms such as machine learning or artificial intelligence matching, clustering, group classification, reinforcement learning, reverse reinforcement learning, and big data analysis.

In particular, the health management server 200 of the present invention is characterized in that it transmits the action guide to the personal terminal 100 before the point in time when an action affecting the health status is expected to occur during an individual's life pattern. For example, the artificial intelligence analysis unit 220 may create an appropriate action guide based on the analysis result and transmit it to the personal terminal 100 .

When various lifestyle data and health information data transmitted through the personal terminal 100 are analyzed, the life pattern of the individual can be analyzed. For example, based on the location information, information on from what time to what time one lives at home or at work, when to eat, and to what level of activity, etc. may be derived. In addition, the amount of exercise, intensity of exercise, amount of food, etc. can be grasped through health information data on blood sugar, blood pressure, heart rate, oxygen saturation, weight, etc., so that life patterns can be more precisely identified.

In this way, when the life pattern is grasped, it is possible to predict a point in time when an action affecting a health state is expected to occur in an individual's life pattern. Referring to FIG. 2 , a specific antecedent stimulus exists before a certain behavior pattern occurs. For example, some behavior such as a habit of eating late at night while relaxing at home at 10 o'clock late at night, drinking alcohol when going to a game on the playground, or habitually smoking after waking up in the morning The pattern appears after a temporal stimulus, a spatial stimulus, and an event stimulus.

The health management server 200 of the present invention transmits a personalized action guide to the personal terminal 100 in advance before the point in time when an action affecting the health condition is expected to occur during an individual's life pattern through active intervention. It leads to improvement of the pattern. These active interventions take place not only before behavioral patterns occur, but also before behavioral patterns have adverse health consequences. That is, in order to prevent the bad behavior pattern from continuing to be repeated, once a specific behavior pattern appears, an action guide for caution or warning about it, and behavior content for improvement, etc. is transmitted to the personal terminal 100 . In addition, when a good behavior pattern appears, the health management server 200 may intervene in a direction to reinforce the good behavior pattern by encouraging it and sending a behavior guide informing information about the improved health state.

As an advantage of the present invention, it does not provide behavioral guidelines in a uniform way, but actively intervenes in life patterns before the actual behavior pattern after a specific prior stimulus that is vulnerable to the individual occurs or is repeated even after the behavior pattern occurs. it's about doing Conventionally, a uniform guideline that is standardized as sending a guideline of a certain content (for example, a recommendation for multigrain rice, etc.) at a certain time (for example, a meal time at 12 noon) is provided, but the present invention provides the person's life It is possible to analyze patterns customized to the user, and based on this, generate and transmit effective and appropriate action guidelines to the individual. Therefore, the health care device 10 of the present invention is very useful for improving life patterns in a positive direction and ultimately preventing diseases in advance.

Furthermore, the health care device 10 of the present invention can generate a more effective action guideline by including the individual's genome information in the questionnaire data about lifestyle. 3 is a diagram illustrating an example of genomic information, which is one of questionnaire data for lifestyle.

The genomic information contains information related to the innate health of each individual, which can be classified into will-related genes, exercise-related genes, and digestive-related genes. Such genomic information may be directly input by an individual or may be input from a health care center with the consent of the individual. In the present invention, for example, as genomic information, body fat percentage, strength training suitability, body mass index, blood sugar, sweetness sensitivity, caffeine metabolism, sleep time, post-exercise recovery ability, muscle development ability, L-arginine concentration, blood pressure, zinc concentration, magnesium Concentration information may be included.

Such genomic information is an innate characteristic of an individual, and according to the genomic information expressed as a phenotype, it can make more appropriate behavioral guidelines for the individual. For example, in the case of genomic information with a low body fat percentage and high fitness for strength training, behavioral guidelines can be written in the direction of investing more time in strength training than in aerobic exercise. Or, if you have a low body mass index, follow the behavioral guidelines that recommend increasing your protein intake after exercise and eating protein as a snack. Subnormal caffeine metabolism and low sleep duration may provide actionable guidelines for reducing caffeine intake for sleep.

In this way, by including the individual's genomic information in the questionnaire data on lifestyle, it is possible to provide more effective and appropriate behavioral guidelines for each individual. Accordingly, the health management server 200, based on the individual's life pattern, the health information data transmitted from the health device, and the genomic information, provides the behavioral guidelines that comprehensively reflect these to the individual through the personal terminal 100. can provide The behavioral guidelines transmitted by the health management server 200 include one or more behavioral contents including meals, exercise, medication, sleep, and stress relief (eg, recommending a favorite hobby).

In addition, the health management server 200 analyzes the change trend of the health information data transmitted from the health device after transmitting the action guide, and the intensity, frequency, You can edit the content. This is to provide more effective behavioral guidance by modifying the target behavior as feedback on the result of providing behavioral guidelines. For example, if the health information data transmitted from the health device does not change or worsens after transmitting the appropriate action guide, the threshold for achieving the goal can be lowered by lowering the intensity and frequency of the action guide, or If the information data is improved in a positive direction, the action guide can be updated by adding content that encourages continued action or raises the level of action goals.

In addition, the health care device 10 of the present invention may supplementally utilize cohort data as big data. Cohort data is particularly meaningful in the early stage when lifestyle data and health information data about individuals are not sufficiently accumulated. That is, in the present invention, the health management server 200 may use the cohort data auxiliary when the lifestyle data and health information data transmitted from the personal terminal 100 are collected below a preset standard.

Cohort data includes statistical data on health and disease from the National Health Insurance Service and Health Insurance Review and Assessment Service, Korean Genome Epidemiology Survey data from the Korea Centers for Disease Control and Prevention, physical measurements (height, weight, blood pressure, etc.) of the community-based cohort, and surveys (lifestyle). Habits, disease history, dietary survey, social psychological factors, etc.), blood tests (blood sugar, insulin levels, cholesterol levels, etc.) can be utilized. In addition, after individual lifestyle data and health information data have been sufficiently accumulated, cohort data can be used as big data to establish appropriate individual behavioral guidelines.

4 shows an example of an action guide provided by the health management server 200, and mutual information is exchanged through a messenger. Individuals can manually input content that is difficult to do automatically in providing their lifestyle data and health information data, as described above. In the example of FIG. 4 , a blood glucose measurement value is inputted as text, and a lunch meal is photographed with a camera to provide information thereto. After acquiring data such as blood sugar or diet, the health management server 200 presents analysis results and specific target actions. Here, it would be desirable to improve readability and deliver a positive message for good results by varying the type, size, and background color of the font for various contents in the action guide according to the appropriately classified category.

On the other hand, the present invention comprises the steps of automatically acquiring or inputting the personal lifestyle data and health information data through the personal terminal 100 possessed or used by the individual; and, the health management server 200 is the personal terminal Perform communication with 100, and store the lifestyle data and health information data transmitted from the personal terminal 100 in the database 210, and the lifestyle data and health information stored in the database 210 analyzing the individual's life pattern and health status based on the data; and transmitting, by the health management server 200, an action guide to the personal terminal 100 before the point in time when an action affecting the health condition is expected to occur during the personal life pattern. provide a way

Since the details of other health management methods overlap with those of the aforementioned health management device 10 , an additional description thereof will be omitted.

Although embodiments of the present invention have been described above with reference to the accompanying drawings, those of ordinary skill in the art to which the present invention pertains can realize that the present invention can be implemented in other specific forms without changing the technical spirit or essential features. you will be able to understand Therefore, it should be understood that the embodiments described above are illustrative in all respects and not restrictive.

10: health care device
100: personal terminal
200: health management server
210: database
220: artificial intelligence analysis unit

Claims (12)

A personal terminal owned or used by an individual, comprising: a personal terminal for automatically acquiring or inputting personal lifestyle data and health information data; and
and a database for communicating with the personal terminal and storing the lifestyle data and health information data transmitted from the personal terminal, and based on the lifestyle data and health information data stored in the database, Health management server having an artificial intelligence analysis unit for analyzing life patterns and health conditions;
including,
The health management server transmits the action guide to the personal terminal before a point in time when an action affecting the health state is expected to occur during the personal life pattern. According to claim 1,
The personal terminal is
A health care device comprising a smart phone, a tablet, and a wearable device capable of location tracking and input of questionnaire data for lifestyle. 3. The method of claim 2,
The personal terminal is
and a health device capable of acquiring health information data including at least one of weight, body temperature, blood pressure, blood sugar, cholesterol, oxygen saturation, and electrocardiogram and transmitting the data to the health management server. 4. The method of claim 3,
The health management server,
The health management device, characterized in that the analysis of the individual's life pattern based on the location information transmitted from the personal terminal and the questionnaire data on the lifestyle. 5. The method of claim 4,
The questionnaire data on the lifestyle includes the individual's genomic information,
The genomic information includes at least one of body fat percentage, strength exercise fitness, body mass index, blood sugar, sweetness sensitivity, caffeine metabolism, sleep time, post-exercise recovery ability, muscle development ability, L-arginine concentration, blood pressure, zinc concentration, and magnesium concentration. Health care device, characterized in that the information is included. 6. The method of claim 5,
The health management server,
The health management device according to claim 1, wherein the behavioral guidelines are transmitted to the personal terminal based on the personal life pattern, the health information data transmitted from the health device, and the genome information. 7. The method of claim 6,
The behavioral guidelines transmitted by the health management server are,
A health care device comprising at least one behavioral content of meals, exercise, medication, sleep, and stress relief. 8. The method of claim 7,
The health management server,
Analyze the change trend of health information data transmitted from the health device after transmitting the action guide,
The health management device, characterized in that the intensity, frequency, and content of the action guide are modified in a direction to improve the health status on the health information data. According to claim 1,
The health management server,
In a state in which the lifestyle data and health information data transmitted from the personal terminal are collected below a preset standard, cohort data is used as an auxiliary method. automatically acquiring or inputting the personal lifestyle data and health information data through a personal terminal owned or used by the individual;
A health management server communicates with the personal terminal, stores the lifestyle data and health information data transmitted from the personal terminal in a database, and based on the lifestyle data and health information data stored in the database, the analyzing an individual's lifestyle and health status; and
transmitting, by the health management server, an action guideline to the personal terminal before a point in time when an action affecting the health condition is expected to occur during the personal life pattern;
A health care method comprising 11. The method of claim 10,
The personal terminal is
The health management by acquiring health information data including at least one of a smartphone, tablet, wearable device, and weight, body temperature, blood pressure, blood sugar, cholesterol, oxygen saturation, and electrocardiogram capable of inputting questionnaire data for location tracking and lifestyle Including health devices that can be transmitted to the server,
The health management server,
The health management method, characterized in that the analysis of the individual's life pattern based on the location information transmitted from the personal terminal and the questionnaire data on the lifestyle. 12. The method of claim 11,
The questionnaire data on the lifestyle includes the individual's genomic information, and the genomic information includes body fat percentage, strength training suitability, body mass index, blood sugar, sweetness sensitivity, caffeine metabolism, sleep time, post-exercise recovery ability, muscle development ability, It includes information about one or more of L-arginine concentration, blood pressure, zinc concentration, and magnesium concentration,
The health management server,
The health management method according to claim 1, wherein an action guide is transmitted to the personal terminal based on the personal life pattern, health information data transmitted from the health device, and the genome information.

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