Health management service system

Abstract

The invention, which relates to the health management field, discloses a health management service system comprising a data acquisition module, an analysis and evaluation module, a health management scheme making module and a health monitoring and early warning module. The data acquisition module is used for acquiring data of the medical detection equipment and the wearable health monitoring equipment and acquiring environmental data; the analysis and evaluation module is used for carrying out deep analysis and evaluation on the collected data; and the health management scheme making module is used for making a health management scheme according to the analyzed and evaluated result. The limitation that a traditional health management mode only depends on single data and lacks multi-dimensional comprehensive analysis is overcome, comprehensive and accurate control over personal or group health conditions is achieved by integrating data from multiple sources and covering medical detection, wearable device monitoring, environment data and the like, and the health management system is suitable for being popularized and applied. Real personalized and precise health management services can be provided, occurrence and development of diseases are effectively prevented and controlled, and life quality is improved.

Description

Technical Field

[0001] The present invention relates to the field of health management, and more specifically, to a health management service system. Background Art

[0002] Health management is a process of comprehensive management of health risk factors for individuals or groups. The purpose of health management is to mobilize the enthusiasm of individuals and groups, effectively utilize limited resources to achieve the greatest health effect, prevent and control the occurrence and development of diseases, and improve the quality of life.

[0003] As people's living standards improve, the demand for health management is growing. Traditional health management methods are often limited to single physical examination data or simple medical records, lacking comprehensive analysis of multi-dimensional data such as individual living habits, environmental factors, and genetic information, resulting in incomplete and inaccurate health assessments and the inability to provide truly personalized and precise health management services. For example, some existing health management systems only judge health status based on physiological indicators of regular physical examinations, ignoring the important impact of individual daily diet, exercise, sleep and other lifestyles on health; or when formulating health intervention plans, they fail to fully consider individual genetic tendencies and environmental factors, resulting in poor intervention effects. In addition, data between different medical institutions and health management institutions are often independent of each other, making it difficult to share and integrate data, further limiting the quality and efficiency of health management services.

[0004] In order to solve the above problems, a technical solution is now provided. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a health management service system to solve the problems raised in the above-mentioned background technology.

[0006] To achieve the above object, the present invention provides the following technical solutions: Health management service system, including data collection module, analysis and evaluation module, health management program formulation module and health monitoring and early warning module; The data acquisition module is used to collect data from medical testing equipment and wearable health monitoring equipment, as well as environmental data; The analysis and evaluation module is used to conduct in-depth analysis and evaluation of the collected data; The health management program formulation module is used to formulate health management programs based on the results of analysis and evaluation; The health monitoring and early warning module is used to monitor and warn users' health.

[0007] In a preferred embodiment, the operation of the data acquisition module specifically includes the following: Medical testing equipment includes blood glucose meters, blood pressure monitors, blood lipid testers and hemoglobin test analyzers, and wearable health monitoring devices include smart watches.

[0008] In a preferred embodiment, the analysis and evaluation module operation specifically includes the following: Integrate physiological indicator data, establish a health risk assessment model, determine the contribution of various health risk factors to different diseases, and quantify the relative risk value of each factor through statistical analysis and model calculation; Based on exercise data and physiological indicators, use the cardiopulmonary function assessment model to assess the individual's cardiopulmonary endurance and functional status; Assess the strength and endurance levels of individual muscle groups using exercise data monitored by wearable devices and body composition analysis data; Quantify the psychological stress level experienced by individuals based on lifestyle data and physiological indicators; Based on the dietary intake data recorded by the user and combined with the food nutrient database, the daily intake of various nutrients is accurately calculated and compared with the recommended dietary nutrient reference intake to assess the sufficiency or deficiency of nutrients; Based on the data analysis results, a detailed health assessment report is generated and presented to the user in a visual manner.

[0009] In a preferred embodiment, the health management program formulation module operation specifically includes the following contents: According to the results of nutritional status evaluation, formulate precise diet plans according to the nutrient deficiency or excess of users; Determine specific exercise goals based on the results of the physical function status assessment and the user's health expectations; Provide corresponding psychological adjustment methods and coping strategies for problems found in the analysis of mental health status.

[0010] In a preferred embodiment, the health management program formulation module operation specifically includes the following contents: According to the health risk assessment results, formulate detailed disease prevention measures for users' potential disease risk factors; Based on environmental data, provide users with specific suggestions for improving their living environment.

[0011] In a preferred embodiment, the operation of the health monitoring and early warning module specifically includes the following: Through seamless connection with various medical testing equipment and wearable health monitoring devices, users' physiological index data can be obtained in real time, including but not limited to blood sugar value, blood pressure value, heart rate, blood oxygen saturation, body temperature and respiratory rate; Synchronize with the user's mobile phone application or other lifestyle recording tools to obtain the user's lifestyle data on food intake, exercise and sleep quality in real time; By connecting to environmental monitoring equipment, relevant data about the user's environment can be obtained in real time, including air quality index, pollutant concentration in the air, water quality indicators, indoor temperature and humidity, and the potential impact of the environment on the user's health can be evaluated based on these data.

[0012] In a preferred embodiment, the operation of the health monitoring and early warning module specifically includes the following: Based on a large amount of healthy population data and the user's personal health history data, set personalized warning thresholds for each important health indicator; By analyzing physiological indicator data, lifestyle data, and environmental data over a period of time, we can determine the changing trends of various indicators and predict future health problems. Combining the health risk assessment model with the user's real-time health data, the risk of occurrence of various diseases is dynamically assessed and disease risk warnings are issued in a timely manner.

[0013] In a preferred embodiment, the operation of the health monitoring and early warning module specifically includes the following: When a health warning signal is issued, the warning information is promptly pushed to the user and his / her designated contacts through multiple channels to ensure that the warning information can be received and processed in a timely manner; When users or relevant contacts receive warning information, they will provide feedback on the processing results and follow-up situations through the provided feedback channels.

[0014] Technical effects and advantages of the health management service system of the present invention: 1. It overcomes the limitation of traditional health management methods that rely only on single data and lack multi-dimensional comprehensive analysis. By integrating data from multiple sources, including medical testing, wearable device monitoring, and environmental data, it can achieve comprehensive and accurate control of the health status of individuals or groups, provide truly personalized and accurate health management services, effectively prevent and control the occurrence and development of diseases, and improve the quality of life; 2. It helps to break the data independence between different medical institutions and health management institutions, promote data sharing and integration, make the information flow in each link smoother, thereby improving the quality and efficiency of the entire health management service, and making health management more coherent and systematic. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] Figure 1 It is a structural schematic diagram of the health management service system of the present invention. DETAILED DESCRIPTION

[0016] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0017] Example

[0018] Figure 1 The health management service system of the present invention is provided, including a data collection module, an analysis and evaluation module, a health management program formulation module and a health monitoring and early warning module; The data acquisition module is used to collect data from medical testing equipment and wearable health monitoring equipment, as well as environmental data; The analysis and evaluation module is used to conduct in-depth analysis and evaluation of the collected data; The health management program formulation module is used to formulate health management programs based on the results of analysis and evaluation; The health monitoring and early warning module is used to monitor and warn users' health.

[0019] The operation of the data acquisition module specifically includes the following: Medical testing equipment includes blood glucose meters, blood pressure monitors, blood lipid testers and hemoglobin test analyzers, and wearable health monitoring devices include smart watches.

[0020] It should be added that key physiological indicators such as blood sugar, blood pressure, blood lipids and hemoglobin can be obtained through blood glucose meters, blood pressure meters, blood lipids and hemoglobin test analyzers. These indicators are crucial for evaluating the body's metabolic function, cardiovascular health and blood system status. For example, blood glucose data can reflect the control of diabetes, blood pressure information helps monitor the risk of hypertension, blood lipid data can indicate the potential risk of atherosclerosis, and hemoglobin content is related to blood diseases such as anemia or polycythemia. Smart watches can add more dynamic physiological data, such as heart rate, exercise steps, sleep quality, etc., to further enrich the understanding of the body's functional status.

[0021] Combining environmental data can build a more comprehensive health portrait. Environmental factors such as air quality and water quality have a profound impact on health. For example, long-term exposure to polluted air may lead to respiratory diseases, while poor water quality may cause gastrointestinal problems or other systemic diseases. Combining physiological indicators with environmental data can better understand the interaction between individual health and the external environment, providing a more comprehensive perspective for health assessment and intervention.

[0022] The health risk factors of different individuals vary due to differences in their physiological indicators and environmental exposure. Through detailed data collection, these data can be used to make personalized health risk predictions. For example, for a person who has both high blood lipids and lives in an area with severe air pollution, his or her risk of cardiovascular disease may be significantly increased. Based on this multi-dimensional data, a health management plan including diet, exercise, drug treatment and environmental improvement can be tailored to reduce health risks more accurately.

[0023] Continuous data collection can detect small changes in physiological indicators in a timely manner. For example, regular blood sugar testing can capture blood sugar fluctuations and detect abnormalities before blood sugar develops into diabetes, so that intervention can be made through early diet and exercise adjustments to prevent the occurrence of diabetes. Hemoglobin test analyzers can also detect early signs of anemia, allowing for timely nutritional supplements or further examinations. Smart watches' real-time monitoring of heart rate can detect problems such as arrhythmias, which helps in the early diagnosis and treatment of heart disease.

[0024] The analysis and evaluation module operation specifically includes the following: Integrate physiological indicator data, establish a health risk assessment model, determine the contribution of various health risk factors to different diseases, and quantify the relative risk value of each factor through statistical analysis and model calculation; Based on exercise data and physiological indicators, use the cardiopulmonary function assessment model to assess the individual's cardiopulmonary endurance and functional status; Assess the strength and endurance levels of individual muscle groups using exercise data monitored by wearable devices and body composition analysis data; Quantify the psychological stress level experienced by individuals based on lifestyle data and physiological indicators; Based on the dietary intake data recorded by the user and combined with the food nutrient database, the daily intake of various nutrients is accurately calculated and compared with the recommended dietary nutrient reference intake to assess the sufficiency or deficiency of nutrients; Based on the data analysis results, a detailed health assessment report is generated and presented to the user in a visual manner.

[0025] It should be added that by integrating physiological indicator data to establish a health risk assessment model and quantifying the relative risk value of each factor, the risk of an individual suffering from different diseases can be accurately predicted. For example, in the risk assessment of cardiovascular disease, the model can clearly determine the contribution of factors such as elevated blood pressure, dyslipidemia, and smoking to the occurrence of the disease. This enables users and health management professionals to clearly understand the importance of each risk factor and take targeted preventive measures in advance. For example, for high cholesterol risk factors, the risk can be reduced by adjusting the diet and using lipid-lowering drugs.

[0026] The cardiopulmonary function assessment model combines exercise and physiological indicators to assess cardiopulmonary endurance and functional status, providing users with detailed information on cardiovascular and respiratory health. For example, for people who exercise regularly and those who sit for a long time, this assessment can clearly show the difference in their cardiopulmonary function, provide sports enthusiasts with suggestions for further improving their cardiopulmonary function, and develop appropriate exercise plans for people who lack exercise to improve cardiopulmonary function and prevent cardiopulmonary diseases.

[0027] Quantifying psychological stress levels based on lifestyle and physiological indicators allows the relatively subjective concept of psychological stress to be measured objectively. For example, by analyzing work intensity, sleep quality, and stress-related physiological indicators (such as cortisol levels), it can be determined whether a person is in a high-stress state. This quantitative result can help users better understand their own psychological stress and take timely decompression measures, such as adjusting work rhythm and conducting relaxation training. It also provides an objective reference for professionals such as psychotherapists so that they can provide more accurate psychological intervention suggestions.

[0028] Generate detailed health assessment reports in a visual way, so that users can understand complex data analysis results more intuitively. For example, through charts showing the changing trend of disease risk probability, the comparison of various indicators of cardiopulmonary function with peers, the adequacy of nutrient intake, etc., users can see the advantages and disadvantages of their health status at a glance. This kind of visual report improves users' participation and compliance in health management, because they can more clearly see the effect of health management measures on improving their health status.

[0029] The operation of the health management program formulation module specifically includes the following contents: According to the results of nutritional status evaluation, formulate precise diet plans according to the nutrient deficiency or excess of users; Determine specific exercise goals based on the results of the physical function status assessment and the user's health expectations; Provide corresponding psychological adjustment methods and coping strategies for problems found in the analysis of mental health status.

[0030] It should be added that by accurately analyzing the nutritional status of users, it is possible to accurately identify nutrient deficiencies or excesses, thereby formulating highly personalized diet plans. For example, for elderly people who do not get enough calcium, it is recommended to increase the intake of calcium-rich foods such as milk, soy products, and dried shrimps; for obese people who take in too much fat, it is recommended to reduce the intake of high-fat foods such as fried foods and animal offal, and increase the proportion of vegetables, fruits, and whole grains. This precise diet plan helps correct nutritional imbalances and prevent various diseases caused by malnutrition or excess, such as osteoporosis caused by calcium deficiency and cardiovascular diseases caused by a high-fat diet, thereby ensuring physical health from the root of diet.

[0031] Determining exercise goals based on physical function assessment and user health expectations can make exercise plans more targeted and attractive. For example, for young people who want to increase muscle strength, an exercise plan based on strength training will be developed, with specific goals such as increasing muscle mass or improving the strength of specific muscle groups within a few months; while for middle-aged and elderly people who want to improve cardiovascular health, they will focus on developing aerobic exercise plans suitable for their physical conditions, such as reaching a certain number of walking or swimming mileage per week. The goals are clear and measurable, allowing users to clearly see their exercise direction and room for improvement, thereby motivating them to persist in exercise, increase exercise participation, and effectively improve physical fitness.

[0032] Providing corresponding adjustment methods and strategies for specific problems found in mental health analysis can accurately solve users' psychological problems. For example, for users who are anxious due to high work pressure, time management skills are recommended to arrange work tasks reasonably and reduce stressors, while relaxation training methods such as deep breathing and meditation are combined to relieve anxiety; for users with social barriers, social skills training and communication skills practice suggestions are provided to help them improve interpersonal relationships and enhance self-confidence. This targeted psychological adjustment measure can effectively alleviate psychological problems in a timely manner, prevent the occurrence and development of mental illness, and improve users' mental health and quality of life.

[0033] The operation of the health management program formulation module also includes the following contents: According to the health risk assessment results, formulate detailed disease prevention measures for users' potential disease risk factors; Based on environmental data, provide users with specific suggestions for improving their living environment.

[0034] It should be added that through in-depth analysis of the health risk assessment results, the user's potential disease risk factors can be accurately identified. For example, for users with a family history of hypertension and risk factors such as overweight, high-salt diet, and lack of exercise, formulating detailed disease prevention measures including weight control, low-salt diet, regular exercise, and regular blood pressure monitoring can effectively reduce the risk of hypertension. This targeted preventive measure can intervene before the disease occurs, just like curbing it in the "germination" stage of the disease, thereby significantly reducing the incidence of various diseases.

[0035] Providing users with specific suggestions for improving their living environment based on environmental data can effectively reduce the adverse effects of environmental factors on health. For example, if environmental data shows that the air quality in the user's area is poor and contains more fine particulate matter (PM2.5) and harmful gases, it is recommended that users use air purifiers, wear masks, and increase indoor green plants to reduce the risk of respiratory diseases. In the case of poor water quality, it is recommended to install a water purifier to prevent gastrointestinal diseases and other health problems caused by drinking contaminated water, thereby protecting the user's health from the source.

[0036] The operation of the health monitoring and early warning module specifically includes the following: Through seamless connection with various medical testing equipment and wearable health monitoring devices, users' physiological index data can be obtained in real time, including but not limited to blood sugar value, blood pressure value, heart rate, blood oxygen saturation, body temperature and respiratory rate; Synchronize with the user's mobile phone application or other lifestyle recording tools to obtain the user's lifestyle data on food intake, exercise and sleep quality in real time; By connecting to environmental monitoring equipment, relevant data about the user's environment can be obtained in real time, including air quality index, pollutant concentration in the air, water quality indicators, indoor temperature and humidity, and the potential impact of the environment on the user's health can be evaluated based on these data.

[0037] It should be added that real-time acquisition of physiological index data such as blood sugar and blood pressure can immediately detect acute health problems such as hypoglycemia and hypertensive crisis. For example, diabetic patients may experience a sudden drop in blood sugar after exercise. By monitoring blood sugar in real time, the system can immediately issue an alarm to remind users to take measures such as replenishing sugar to avoid serious consequences such as coma caused by hypoglycemia.

[0038] Real-time updates of data such as heart rate, blood oxygen saturation, body temperature and respiratory rate allow us to dynamically observe the functional status of the body in different activity states (such as exercise, rest and sleep). For example, by monitoring changes in heart rate during exercise, we can understand the heart's adaptation to exercise intensity, provide a basis for users to reasonably adjust exercise intensity, and also help discover potential cardiovascular disease risks, such as arrhythmia.

[0039] Real-time dietary intake, exercise status and sleep quality data are important bases for providing personalized health advice. For example, if the system finds that the user has consumed too much high-calorie food on a certain day, combined with other physiological indicators (such as weight, blood sugar, etc.), it can promptly remind the user to adjust the subsequent diet plan and increase exercise to maintain the body's energy balance and prevent obesity and related chronic diseases.

[0040] Users can actively participate in their own health management by viewing this data in real time. For example, after seeing the fluctuations of their blood pressure throughout the day, users can more intuitively understand their physical condition and actively adjust their work rhythm, diet and exercise habits, rather than waiting until symptoms appear before paying attention to health problems. This data-driven self-management method transforms health management from passive disease treatment to active health maintenance.

[0041] The operation of the health monitoring and early warning module also includes the following: Based on a large amount of healthy population data and the user's personal health history data, set personalized warning thresholds for each important health indicator; By analyzing physiological indicator data, lifestyle data, and environmental data over a period of time, we can determine the changing trends of various indicators and predict future health problems. Combining the health risk assessment model with the user's real-time health data, the risk of occurrence of various diseases is dynamically assessed and disease risk warnings are issued in a timely manner.

[0042] It should be added that setting personalized warning thresholds based on a large amount of healthy population data and the user's personal health history can more accurately reflect the user's true health status. Compared with universal thresholds, this personalized setting can avoid false alarms (such as judging normal physiological fluctuations as abnormal) and missed alarms (such as not promptly discovering indicators that are already abnormal for the user) due to individual differences. For example, for athletes, the normal range of their heart rate may be different from that of ordinary people. Through personalized settings, warnings can be issued only when their heart rate is truly abnormal, rather than frequent alarms due to an increase in normal heart rate after exercise; at the same time, for some users with underlying diseases but whose indicators have been at a slightly higher or lower level for a long time, it can also accurately determine when the change in indicators has reached a level that requires attention.

[0043] Reasonable personalized warning thresholds can reduce users' anxiety caused by frequent irrelevant warning information. When the warning information is truly related to the user's health risk, the user will pay more attention and be willing to cooperate in taking corresponding measures. For example, if a user often receives blood pressure warnings due to general thresholds that do not meet their actual conditions, they may gradually ignore this information; when the warning is based on their personal blood pressure fluctuation pattern and reasonable thresholds, the user will be more likely to accept and follow the advice to adjust their lifestyle or seek medical help.

[0044] By analyzing the trend of data changes over a period of time, it is possible to predict in advance possible health problems that may arise in the future. For example, if it is found that the user's weight has gradually increased in the past few months, while the exercise time has gradually decreased and the proportion of high-calorie foods in the diet has increased, even if there are no obvious health problems at present, it can be predicted that the risk of obesity and related chronic diseases (such as diabetes and hypertension) is increasing. Based on this prediction, the system can provide users with diet and exercise adjustment suggestions in advance, such as formulating a weight loss plan, increasing physical exercise time, etc., so as to prevent the occurrence of diseases and achieve a transition from passive treatment to active prevention.

[0045] Dynamic assessment of disease risk and timely warning can make medical intervention more timely. For example, for users with a family history of cardiovascular disease, dynamic assessment is performed in combination with real-time blood pressure, blood lipids, blood sugar, and lifestyle data. When it is found that the risk of disease has increased significantly in a short period of time, a warning will be issued in time, and the user can seek medical treatment as soon as possible. The doctor can also arrange examinations and treatments in advance based on the warning information, and it is possible to take measures before the disease occurs, such as adjusting the drug treatment plan or performing interventional treatment, thereby reducing the severity of the disease and the occurrence of complications.

[0046] The operation of the health monitoring and early warning module also includes the following: When a health warning signal is issued, the warning information is promptly pushed to the user and his / her designated contacts through multiple channels to ensure that the warning information can be received and processed in a timely manner; When users or relevant contacts receive warning information, they will provide feedback on the processing results and follow-up situations through the provided feedback channels.

[0047] It should be added that in the event of life-threatening health conditions, such as severe hypoglycemia, acute myocardial infarction, etc., quickly sending warning information to users and designated contacts (such as family members and medical staff) can buy precious rescue time. For example, when the system detects signs of a sudden acute myocardial infarction in a user and issues a warning, family members can immediately call the emergency number, and medical staff can prepare for emergency treatment in advance, greatly increasing the patient's chance of survival.

[0048] Through the feedback of users and contacts on the processing results and follow-up situations, the system can track whether the intervention measures after the health warning are effective. For example, after the user receives a high blood sugar warning and takes measures such as controlling diet and increasing exercise, the system can evaluate the changes in blood sugar data and evaluate the effects of these intervention measures on blood sugar control, thereby providing a basis for the subsequent adjustment of the health management plan, forming a complete closed loop from warning to intervention to effect evaluation.

[0049] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0050] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. The health management service system is characterized by: It includes data collection module, analysis and evaluation module, health management program formulation module and health monitoring and early warning module; The data acquisition module is used to collect data from medical testing equipment and wearable health monitoring equipment, as well as environmental data; The analysis and evaluation module is used to conduct in-depth analysis and evaluation of the collected data; The health management program formulation module is used to formulate health management programs based on the results of analysis and evaluation; The health monitoring and early warning module is used to monitor and warn users' health.

2. The health management service system according to claim 1, characterized in that: The operation of the data acquisition module specifically includes the following: Medical testing equipment includes blood glucose meters, blood pressure monitors, blood lipid testers and hemoglobin test analyzers, and wearable health monitoring devices include smart watches.

3. The health management service system according to claim 2, characterized in that: The analysis and evaluation module operation specifically includes the following: Integrate physiological indicator data, establish a health risk assessment model, determine the contribution of various health risk factors to different diseases, and quantify the relative risk value of each factor through statistical analysis and model calculation; Based on exercise data and physiological indicators, use the cardiopulmonary function assessment model to assess the individual's cardiopulmonary endurance and functional status; Assess the strength and endurance levels of individual muscle groups using exercise data monitored by wearable devices and body composition analysis data; Quantify the psychological stress level experienced by individuals based on lifestyle data and physiological indicators; Based on the dietary intake data recorded by the user and combined with the food nutrient database, the daily intake of various nutrients is accurately calculated and compared with the recommended dietary nutrient reference intake to assess the sufficiency or deficiency of nutrients; Based on the data analysis results, a detailed health assessment report is generated and presented to the user in a visual manner.

4. The health management service system according to claim 3, characterized in that: The operation of the health management program formulation module specifically includes the following contents: According to the results of nutritional status evaluation, formulate precise diet plans according to the nutrient deficiency or excess of users; Determine specific exercise goals based on the results of the physical function status assessment and the user's health expectations; Provide corresponding psychological adjustment methods and coping strategies for problems found in the analysis of mental health status.

5. The health management service system according to claim 4, characterized in that: The operation of the health management program formulation module also includes the following contents: According to the health risk assessment results, formulate detailed disease prevention measures for users' potential disease risk factors; Based on environmental data, provide users with specific suggestions for improving their living environment.

6. The health management service system according to claim 5, characterized in that: The operation of the health monitoring and early warning module specifically includes the following: Through seamless connection with various medical testing equipment and wearable health monitoring devices, users' physiological index data can be obtained in real time, including but not limited to blood sugar value, blood pressure value, heart rate, blood oxygen saturation, body temperature and respiratory rate; Synchronize with the user's mobile phone application or other lifestyle recording tools to obtain the user's lifestyle data on food intake, exercise and sleep quality in real time; By connecting to environmental monitoring equipment, relevant data about the user's environment can be obtained in real time, including air quality index, pollutant concentration in the air, water quality indicators, indoor temperature and humidity, and the potential impact of the environment on the user's health can be evaluated based on these data.

7. The health management service system according to claim 6, characterized in that: The operation of the health monitoring and early warning module also includes the following: Based on a large amount of healthy population data and the user's personal health history data, set personalized warning thresholds for each important health indicator; By analyzing physiological indicator data, lifestyle data, and environmental data over a period of time, we can determine the changing trends of various indicators and predict future health problems. Combining the health risk assessment model with the user's real-time health data, the risk of occurrence of various diseases is dynamically assessed and disease risk warnings are issued in a timely manner.

8. The health management service system according to claim 7, characterized in that: The operation of the health monitoring and early warning module also includes the following: When a health warning signal is issued, the warning information is promptly pushed to the user and his / her designated contacts through multiple channels to ensure that the warning information can be received and processed in a timely manner; When users or relevant contacts receive warning information, they will provide feedback on the processing results and follow-up situations through the provided feedback channels.

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