Personalized health management scheme generation system

Abstract

The invention provides a personalized health management scheme generation system, and the system comprises a user data collection module which is used for collecting user data, and the user data comprises user login information, personal basic information, health data information, and medical data information; the data analysis module is used for analyzing the user data, performing health evaluation on the user and identifying health requirements and health risks of the user; the scheme generation module is used for generating a personalized health management scheme of the user according to the user data; and the user interaction module is used for interacting with the user to collect experience feedback information of the user and optimize a personalized health management scheme of the user. According to the method and the device, an accurate and personalized health management scheme is provided according to the user data of the user, the health management effect and the life quality of the user are improved, a user-friendly interaction interface is realized, and the user experience is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of big data technology, and in particular, to a personalized health management plan generation system. Background Art

[0002] With increasing awareness of health and advancements in technology, people are increasingly prioritizing personal health management. Existing health management applications often utilize generic templates, lacking in-depth analysis and personalized services for individual users, and are unable to meet the specific needs of diverse users. Traditional health management applications often rely on manual data entry, lacking real-time and continuity. They also offer limited health recommendations, such as diet or exercise, and lack comprehensive health solutions. Traditional health management applications offer limited user interaction methods, often limited to the application interface. They also lack effective user feedback mechanisms, making it impossible to optimize based on actual user experience. Furthermore, health management applications have fixed functionality, making them difficult to adapt to evolving market demands and technological advancements.

[0003] Therefore, it is of great significance to develop a mini program that can provide personalized health management solutions based on user health data and needs. Summary of the invention

[0004] In view of the shortcomings of the prior art, the present invention aims to provide a personalized health management plan generation system.

[0005] To achieve the above objectives, according to one aspect of the present disclosure, a personalized health management plan generation system is provided, comprising:

[0006] A user data collection module is used to collect user data, including user login information, personal basic information, health data information, and medical data information;

[0007] A data analysis module, configured to analyze the user data, perform health assessment on the user, and identify the user's health needs and health risks;

[0008] A plan generation module, configured to generate a personalized health management plan for the user based on the user data;

[0009] The user interaction module is used to interact with the user to collect the user's experience feedback information and optimize the user's personalized health management plan.

[0010] Optionally, the health data information includes health monitoring data, living habit information and physiological data information.

[0011] Optionally, the user data collection module includes:

[0012] User login sub-module, used to collect the user's login information, where the login information includes account information, contact information, and real-name registration information;

[0013] Health monitoring device interface, used to connect to a health monitoring device to import the user's health monitoring data, where the user's health monitoring data includes heart rate, body temperature, blood oxygen, blood sugar, pressure, and sleep;

[0014] Medical health database interface, used to connect to a medical institution to import the user's medical data information, where the user's medical data information includes home health management records, test records, examination records, and physical examination records.

[0015] Optionally, the user data collection module further includes a manual recording sub-module, which is used for the user to manually input the personal basic information, the living habit information, and the physiological data information.

[0016] Optionally, the personal basic information includes gender, age, height, and weight;

[0017] The living habit information includes diet preference information, exercise habit information, and sleep pattern information;

[0018] The physiological data information includes heart rate, body temperature, blood oxygen, blood sugar, blood pressure, and sleep.

[0019] Optionally, the data analysis module includes:

[0020] Health assessment sub-module, used to set assessment questions and conduct a health assessment on the user;

[0021] Health need identification sub-module, used to analyze the user data and the user's health assessment results to identify the user's health needs;

[0022] Health risk identification sub-module, used to analyze the user data and the user's health assessment results to identify the user's health risks.

[0023] Optionally, the solution generation module includes:

[0024] Personalized health plan sub-module, used to generate the user's diet advice information, exercise advice information, health advice information, and health popular science information;

[0025] Health task sub-module, used to generate the user's daily health tasks;

[0026] Health report sub-module, used to conduct a questionnaire survey on the user and generate the user's health report.

[0027] Optionally, the personalized health plan sub-module includes:

[0028] A diet advice sub-module, which is used to determine the daily calorie requirement of the user according to a preset nutrition algorithm, and generate diet advice information for the user according to the user's diet preference information, diet restriction information, seasonal food information, and local eating habits;

[0029] An exercise advice sub-module, which is used to determine exercise advice information for the user according to the user's physical fitness test results, exercise history, schedule, and weather conditions, and the exercise advice information includes exercise type, exercise intensity, exercise time, and exercise frequency;

[0030] A health advice sub-module, which is used to determine health advice information for the user according to the user's health risks, and the health advice information includes: health improvement suggestions, disease prevention strategies, and health promotion strategies;

[0031] A health popularization sub-module, which is used to form health popularization information for the user according to the user's health status and the user's interests.

[0032] Optionally, the user interaction module includes:

[0033] A mobile application interface sub-module, which is used for the display of the interaction interface on the mobile application;

[0034] A health monitoring device interface sub-module, which is used for the display of the interaction interface on the health monitoring device;

[0035] A health record management sub-module, which is used to manage the health records of the current user or non-current user.

[0036] Optionally, the user interaction module further includes:

[0037] A user feedback sub-module, which is used to collect the user's experience feedback information;

[0038] A solution adjustment sub-module, which is used to optimize the user's personalized health management solution according to the user's experience feedback information and the change amount of the user data.

[0039] Compared with the prior art, the embodiments of the present disclosure have at least one of the following beneficial effects:

[0040] Through the above technical solutions, the user data collection module is adopted to collect user data, and through the data analysis module and the solution generation module, based on the user data, health assessment of the user is carried out to accurately identify the user's health needs and health risks, and a comprehensive and personalized health management solution for the user is generated, improving the user's health management effect and quality of life. In addition, the user interaction module is adopted to timely collect the user's experience feedback information, optimize the user's personalized health management solution, improve the user's experience satisfaction and the effectiveness of the solution, and has scalability and flexibility.

[0041] In an embodiment of the present disclosure, the user data collection module is provided with a health monitoring device interface and a medical and health database interface, which can import the user's health monitoring data and medical data information, improving the real-time and continuity of data collection for health management, no longer relying on the user to manually input data, and improving the flexibility of collecting user data.

[0042] In an embodiment of the present disclosure, the solution generation module is provided with a personalized health plan sub-module, and its personalized health plan sub-module includes a diet advice sub-module, an exercise advice sub-module, a health advice sub-module, and a health popular science sub-module, so as to generate a comprehensive and personalized health management solution.

[0043] In an embodiment of the present disclosure, the user interaction module includes a mobile application interface sub-module, a health monitoring device interface sub-module, and a health record management sub-module. It is not limited to a single application interface and can access the system in various forms, such as in a mini-program or a software application, and can also access the system through a health monitoring device, such as a smart bracelet or a smart watch, improving the convenience of user use. Brief Description of the Drawings

[0044] By reading the detailed description of the non-limiting embodiments with reference to the following drawings, other features, purposes, and advantages of the present disclosure will become more obvious:

[0045] Figure 1 is a block diagram of a personalized health management solution generation system shown according to an exemplary embodiment.

[0046] Figure 2 is a schematic diagram of the "Home Page" of a personalized health management solution generation system applied in a mini-program after login and real-name authentication.

[0047] Figure 3 is a schematic diagram of the "Home Page" of a mini-program after login but without real-name authentication shown according to an exemplary embodiment.

[0048] Figure 4 is a pop-up window schematic diagram of the user terminal number being bound during the user real-name authentication process shown according to an exemplary embodiment.

[0049] Figure 5 It is a schematic diagram of a small program authorizing connection to access a health monitoring device on the "Health Record" homepage shown according to an exemplary embodiment.

[0050] Figure 6 It is a schematic diagram of the "My" homepage of a small program shown according to an exemplary embodiment.

[0051] Figure 7 It is a schematic diagram of the "Health Record" homepage of a small program shown according to an exemplary embodiment.

[0052] Figure 8 It is a schematic diagram of the "Evaluation Report" page of the "Stress" entry of a small program shown according to an exemplary embodiment.

[0053] Figure 9 It is a schematic diagram of the assessment page of the "Stress" entry of a small program shown according to an exemplary embodiment.

[0054] Figure 10 It is a schematic diagram of the "Diet Recommendation" page of a small program shown according to an exemplary embodiment.

[0055] Figure 11 It is a schematic diagram of the "Exercise Record" page of a small program shown according to an exemplary embodiment.

[0056] Figure 12 It is a schematic diagram of the "Manually Add Exercise" page of a small program shown according to an exemplary embodiment.

[0057] Figure 13 It is a schematic diagram of the page of the "Health Plan" column of a small program shown according to an exemplary embodiment.

[0058] Figure 14 It is a schematic diagram of the page of the "Today's Tasks" of a small program shown according to an exemplary embodiment.

[0059] Figure 15 It is a schematic diagram of the pages of "Questionnaire Survey", "Weight Loss Goal", and "Weight Loss Plan" of a small program shown according to an exemplary embodiment.

[0060] Figure 16 It is a schematic diagram of the "Health Management Plan" pushed based on the health plan selected by the user shown according to an exemplary embodiment. Detailed implementation manners

[0061] The present disclosure will be described in detail below in conjunction with specific embodiments. The following embodiments will help those skilled in the art to further understand the present disclosure, but do not limit the present disclosure in any form. It should be noted that for those of ordinary skill in the art, without departing from the concept of the present disclosure, several modifications and improvements can still be made. These all fall within the protection scope of the present disclosure.

[0062] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in the present disclosure are all information and data authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant regulations.

[0063] Figure 1 It is a block diagram of a personalized health management plan generation system shown according to an exemplary embodiment.

[0064] As Figure 1 shown, the present disclosure provides a personalized health management plan generation system, including: a user data collection module, a data analysis module, a plan generation module, and a user interaction module.

[0065] The user data collection module is used to collect user data.

[0066] Among them, the user data includes the user's login information, personal basic information, health data information, and medical data information.

[0067] The data analysis module is used to analyze user data, conduct a health assessment on the user, identify the user's health needs and health risks.

[0068] The plan generation module is used to generate a personalized health management plan for the user according to the user data.

[0069] The user interaction module is used to interact with the user to collect the user's experience feedback information and optimize the user's personalized health management plan.

[0070] Through the above technical solution, the user data collection module is adopted to collect user data, and through the data analysis module and the plan generation module, based on the user data, a health assessment is conducted on the user, the user's health needs and health risks are accurately identified, a comprehensive and integrated personalized health management plan for the user is generated, the health management effect and quality of life of the user are improved, and the user interaction module is adopted to timely collect the user's experience feedback information, optimize the user's personalized health management plan, improve the user's experience satisfaction and the effectiveness of the plan, and has scalability and flexibility.

[0071] In a possible embodiment, the health data information includes health monitoring data, lifestyle information, and physiological data information.

[0072] In a possible embodiment, the user data collection module includes a user login sub-module, a health monitoring device interface, and a medical health database interface.

[0073] The user login sub-module is used to collect the user's login information.

[0074] Among them, the login information includes account information, contact information, and real-name registration information.

[0075] The health monitoring device interface is used to connect to the health monitoring device and import the user's health monitoring data.

[0076] Among them, the user's health monitoring data includes heart rate, body temperature, blood oxygen, blood sugar, pressure, and sleep.

[0077] Among them, the health monitoring device can be a wearable device such as a smart watch or a smart bracelet. A personalized health management solution generation system is connected to the health monitoring device through the health monitoring device interface to collect in real time the user's health monitoring data collected by the health monitoring device.

[0078] The medical health database interface is used to connect to the medical institution and import the user's medical data information.

[0079] Among them, the user's medical data information includes home health management records, test records, examination records, and physical examination records.

[0080] The medical institution can be a medical clinic or a hospital. A personalized health management solution generation system is connected to the database of the medical clinic through the medical health database interface to collect in real time the user's medical data information in the medical institution.

[0081] The user data collection module sets the health monitoring device interface and the medical health database interface, which can import the user's health monitoring data and medical data information, improve the real-time and continuity of data collection for health management, no longer rely on the user to manually input data, and improve the flexibility of collecting user data.

[0082] In a possible embodiment, the user data collection module further includes a manual recording sub-module, and the manual recording sub-module is used for the user to manually input personal basic information, lifestyle information, and physiological data information.

[0083] Among them, the personal basic information includes gender, age, height, and weight;

[0084] The lifestyle information includes diet preference information, exercise habit information, and sleep pattern information;

[0085] Physiological data information includes heart rate, body temperature, blood oxygen, blood sugar, blood pressure, and sleep.

[0086] As an example, the manual recording sub-module can be set in the form of a questionnaire. Users can input their personal basic information, lifestyle information, and physiological data information by filling out the questionnaire.

[0087] In a possible embodiment, the data analysis module of the present disclosure uses a preset machine learning algorithm to deeply analyze user data.

[0088] Specifically, the data analysis module includes a health assessment sub-module, a health need identification sub-module, and a health risk identification sub-module.

[0089] The health assessment sub-module is used to set assessment questions and conduct a health assessment on users to evaluate their current health status.

[0090] The health need identification sub-module is used to analyze user data and the results of the users' health assessments to identify the users' health needs.

[0091] Through the health assessment sub-module and the health need identification sub-module, the users' health needs can be accurately identified, personalized analysis can be achieved, and customized health advice can be provided for users.

[0092] The health risk identification sub-module is used to analyze user data and the results of the users' health assessments to identify the users' health risks, such as high blood pressure risk and diabetes risk.

[0093] Through the advanced machine learning algorithm and data analysis technology of the data analysis module, in-depth personalized analysis of user data is realized, and the unique health needs and potential risks of each user are identified, thus providing a basis for subsequent provision of personalized health management solutions.

[0094] Moreover, the data analysis module of the present disclosure adopts a modular design, which can be easily extended with new functions. For example, new health assessment tools or risk assessment models can be added to improve the scalability and flexibility of a personalized health management solution generation system and adapt to the development of the health management technology field.

[0095] In a possible embodiment, the solution generation module includes: a personalized health plan sub-module, a health task sub-module, and a health report sub-module.

[0096] The personalized health plan sub-module is used to generate diet advice information, exercise advice information, health advice information, and health popular science information for users.

[0097] Among them, the personalized health plan sub-module includes a diet advice sub-module, an exercise advice sub-module, a health advice sub-module, and a health science popularization sub-module. The diet advice sub-module is used to generate diet advice information for users, the exercise advice sub-module is used to generate exercise advice information for users, the health advice information sub-module is used to generate health advice information for users, and the health science popularization sub-module is used to generate health science popularization information for users.

[0098] Specifically, the diet advice sub-module is used to determine the daily calorie requirement of the user according to a preset nutrition algorithm, and generate the diet advice information of the user according to the user's diet preference information, diet restriction information, seasonal food information, and local eating habits.

[0099] Among them, the preset nutrition algorithm can calculate the daily calorie requirement for maintaining the user's body according to the user's weight, height, activity level, and health goals. At the same time, the preset nutrition algorithm can also integrate the user's diet preference information, diet restriction information, seasonal food information, and local eating habits, recommend foods and meal plans that meet nutritional requirements and are feasible, and provide comprehensive nutritional advice.

[0100] The personalized health management solution generation system of the present disclosure can also analyze the calorie information of the foods in the user's daily diet records, adjust the remaining daily calorie requirement of the user, and recommend and advise the user's diet.

[0101] The diet advice sub-module recommends a diet plan suitable for the user according to the user's health condition and diet preference, and considering nutritional balance, recommends the amount of calories, the types and quantities of nutrients to be ingested daily, and provides the user with a personalized recipe and diet advice to meet the user's health goals.

[0102] As an example, "Based on your health data and preferences, we recommend that you consume approximately 2000 calories per day, including protein, complex carbohydrates, and healthy fats. Recommended recipes include: lean meat, whole grains, and a variety of vegetables."

[0103] The exercise advice sub-module is used to determine the exercise advice information of the user according to the user's physical fitness test results, exercise history, schedule, and weather conditions.

[0104] Among them, the exercise advice information includes exercise type, exercise intensity, exercise time, and exercise frequency.

[0105] The exercise advice sub-module determines the appropriate exercise type and exercise intensity according to the user's physical fitness test results and exercise history, and combines the user's schedule to recommend the best exercise time and exercise frequency, and provides indoor exercise options and outdoor exercise options to adapt to different weather and environmental conditions.

[0106] Specifically, the exercise recommendation sub-module specifies a personalized exercise plan for the user according to the user's physical fitness level and exercise habits, such as any one or a combination of aerobic exercise, strength training, and flexibility training, and provides flexible exercise options according to the user's time and location convenience.

[0107] As an example, the exercise recommendation sub-module outputs "Considering your physical fitness level and schedule, we recommend that you do aerobic exercise 3 times a week, such as brisk walking or jogging, for 30 minutes each time, and 2 strength training sessions, 45 minutes each time."

[0108] The health advice sub-module is used to determine the user's health advice information according to the user's health risks.

[0109] Among them, the health advice information includes: health improvement suggestions, disease prevention strategies, and health promotion strategies.

[0110] The health advice sub-module analyzes the user's lifestyle and environmental factors, identifies possible health risks of the user, provides targeted health improvement suggestions, such as improving the working environment and increasing leisure activities, and provides personalized disease prevention and health promotion strategies according to the user's health data information and medical data information.

[0111] Specifically, the health advice sub-module provides suggestions for improving the user's living habits, such as quitting smoking, limiting alcohol, and stress reduction techniques; it can also provide method suggestions for improving the quality of exercise according to the user's exercise pattern; it can also provide reminders for regular health checks to monitor the user's health status; it can also provide medical advice according to the user's medical consultation.

[0112] As an example, the health advice sub-module outputs "To improve your sleep quality, we recommend that you do relaxation exercises, such as yoga or meditation, before going to bed, and keep the sleep environment quiet, dark, and cool."

[0113] The health popularization sub-module is used to form the user's health popularization information according to the user's health status and the user's interests.

[0114] Among them, the user's health popularization information will be pushed to the user so that it can be delivered and the user can choose to watch it.

[0115] The health task sub-module is used to generate the user's daily health tasks.

[0116] The health task sub-module can also provide health knowledge and health task push services. It can break down the health plan into daily tasks according to the user's interests and push them to the user in the form of articles or videos.

[0117] The health report sub-module is used to conduct questionnaire surveys on users and generate health reports for users.

[0118] By adopting the personalized health plan sub-module, comprehensive and personalized health advice is provided for users, assisting users in achieving health goals, helping users improve their health conditions, preventing diseases and enhancing the quality of life.

[0119] In a possible embodiment, the user interaction module includes a mobile application interface sub-module, a health monitoring device interface sub-module, and a health record management sub-module.

[0120] The mobile application interface sub-module is used for the display of the interaction interface on the mobile application.

[0121] Among them, the mobile application interface sub-module is applicable to a personalized health management solution generation system to interact with users in various application forms such as mini-programs, applications (APPs), voice assistants, and web platforms, improving the convenience of users' use.

[0122] The health monitoring device interface sub-module is used for the display of the interaction interface on the health monitoring device.

[0123] Among them, the health monitoring device interface sub-module is applicable to a personalized health management solution generation system to interact with users in the application forms of smart watches and smart bracelets, improving the convenience of users' use.

[0124] Users can interact with a personalized health management solution generation system according to their own preferences and convenience.

[0125] The health record management sub-module is used to manage the health records of current or non-current users.

[0126] Among them, the health record management sub-module can be displayed on the mobile application interface sub-module and the health monitoring device interface sub-module, and the health record management sub-module can establish the health records of multiple users for current or non-current users to manage. By selecting the avatars of different users, the health records of different users can be switched.

[0127] In a possible embodiment, the user interaction module may further include a user feedback sub-module and a solution adjustment sub-module.

[0128] The user feedback sub-module is used to collect the experience feedback information of users.

[0129] The solution adjustment sub-module is used to optimize the personalized health management solution of users according to the experience feedback information of users and the change amount of user data.

[0130] Among them, the solution adjustment sub-module adopts the algorithm optimization suggestions to ensure the effectiveness of the personalized health management solution and user satisfaction.

[0131] The application scenario of a personalized health management solution generation system provided by the present disclosure is applicable to users recording diet and exercise using a mini-program in daily life, and the mini-program provides real-time feedback and suggestions; after a health check, users adjust their living habits according to the suggestions of health management practitioners using the mini-program; when users encounter health problems, they can quickly obtain relevant information and solutions through the mini-program.

[0132] A personalized health management solution generation system provided by the present disclosure can accurately identify the health needs of users, provide more accurate and personalized health management solutions, and also has scalability and flexibility, and can easily integrate new health data sources and analysis tools to adapt to the development of future technologies, providing users with more accurate, comprehensive and convenient health management services, and improving the health management effect and quality of life of users.

[0133] In a possible embodiment, the following is an illustration of the usage process of a user when a personalized health management solution generation system is applied in the form of a mini-program:

[0134] Step 1: The user data collection module collects user data:

[0135] 1. The user scans the QR code of the mini-program and logs in.

[0136] 2. The system detects whether the user is real-named. If the user is real-named, the user enters the home page of the mini-program with user data.

[0137] Figure 2 It is a schematic diagram of the "home page" of a personalized health management solution generation system applied in a mini-program after login and real-name authentication shown according to an exemplary embodiment.

[0138] As Figure 2 shown, the home page of the mini-program displays the user's name, gender, age, ID, heart rate, body temperature, blood sugar, blood pressure, total cholesterol TCHO, sleep, this week's recipe recommendations, exercise records, physical examination reports, and information on the button for professional health management practitioners to interpret the physical examination reports, and also includes entry buttons for home health management records, inspection reports, and examination reports.

[0139] The bottom of the home page includes three main page buttons: "Home Page", "Health Record", and "Mine".

[0140] Users can view the detailed information of the user corresponding to the button by clicking on the above buttons.

[0141] 3. If the user is not real - named, the user enters the "home page" of the mini - program without user data and undergoes real - name authentication.

[0142] Figure 3 Figure 1 is a schematic diagram of the "home page" of a mini - program that has been logged in but not yet authenticated according to an exemplary embodiment.

[0143] As Figure 3 shown, if the user is not real - named, a "warm reminder" pop - up window for real - name authentication is popped up. The user can choose "Cancel" or "Go to authenticate" to link to the real - name authentication interface for real - name authentication. The user fills in the authentication information and submits it after completion.

[0144] When the user submits without filling in all the information, prompt the user "The information is not filled in completely. Please fill it in completely before submitting"; when the user fills in the name and ID card incorrectly, prompt the user "The name and ID card do not belong to the same user. Please verify".

[0145] 4. After the user submits the real - name authentication information, the system detects whether the user's terminal number is bound.

[0146] If the user's terminal number is not bound, after binding the terminal number, enter the home page of the mini - program with user data.

[0147] Figure 4 Figure 2 is a schematic diagram of a pop - up window when the user's terminal number is bound during the user's real - name authentication process according to an exemplary embodiment.

[0148] As Figure 4 shown, if the user's terminal number is already bound, a "warm reminder" pop - up window is popped up, prompting the user to "Log out" or "Change mobile phone number" to rebind. After successful rebinding, enter the home page of the mini - program with user data.

[0149] 5. The user selects the "Health Record" home page button, can set multiple user records, and by selecting the avatars of different users, enter the "Health Record" home pages of different users to view and set the health data of different users.

[0150] 6. The user authorizes to connect to the health monitoring device and imports the user's health monitoring data.

[0151] Figure 5 Figure 3 is a schematic diagram of a mini - program authorizing to connect to a health monitoring device on the "Health Record" home page according to an exemplary embodiment.

[0152] As Figure 5As shown, on the home page of the "Health Record", by connecting to a health detection device through user authorization, for example, setting "Scan the code to bind your watch", the user can scan the QR code on the smart watch to pair with the smart watch and bind the smart watch, so as to import the health monitoring data of the user collected by the smart watch in real time, such as heart rate, body temperature, blood oxygen, blood sugar, pressure, and sleep data, and update and display it on the home page of the "Health Record" and the home page of the user's "Home Page", and prompt the user "Binding successful".

[0153] When binding the smart watch, it is necessary to complete the user's physical signs data, including height and weight, and the information of emergency contacts, including name and contact phone number.

[0154] Figure 6 It is a schematic diagram of the "My" home page of a small program shown according to an exemplary embodiment.

[0155] As Figure 6 shown, on the "My" home page, click the "Watch Configuration" function button to detect whether the user has bound a watch.

[0156] If the user has not bound a watch, then perform watch binding by scanning the QR code of the watch.

[0157] If the user has already bound a watch, then enter the watch settings interface, where functions such as emergency contacts, do not disturb mode, screen off time, raise wrist to wake up, and warning reminder of the watch can be set.

[0158] By authorizing to bind the smart watch, the user's health monitoring data is imported.

[0159] Step 2: The data analysis module analyzes the user data:

[0160] 1. The user clicks on the entry of the health monitoring data on the home page of the "Health Record" to conduct a health assessment.

[0161] Figure 7 It is a schematic diagram of the home page of the "Health Record" of a small program shown according to an exemplary embodiment.

[0162] As Figure 7 shown, for example, click on the "Pressure" entry, and the "Go to Assess" function button will be displayed.

[0163] Figure 8 It is a schematic diagram of the "Assessment Report" page of the "Pressure" entry of a small program shown according to an exemplary embodiment. Figure 9 It is a schematic diagram of the assessment page of the "Pressure" entry of a small program shown according to an exemplary embodiment.

[0164] As Figure 8As shown, if the user already has evaluation data, the user can freely choose whether to retest, and the user's evaluation report is displayed.

[0165] As Figure 9 shown, if there is no user evaluation data or the user clicks the "Retest" button, it links to the evaluation questions to conduct a health evaluation on the user, and based on the user's health evaluation answer results, the user's evaluation report is formed.

[0166] Step 3: The solution generation module generates a personalized health management solution for the user.

[0167] Figure 10 It is a schematic diagram of a "Diet Recommendation" page of a mini program shown according to an exemplary embodiment. Figure 11 It is a schematic diagram of a "Exercise Record" page of a mini program shown according to an exemplary embodiment. Figure 12 It is a schematic diagram of a "Manually Add Exercise" page of a mini program shown according to an exemplary embodiment.

[0168] 1. As Figure 10 shown, when the user clicks "Diet Advice" on the "Health Record" homepage, the system provides detailed recommended recipes for this week, total calories, and diet advice.

[0169] 2. As Figure 11 , Figure 12 shown, when the user clicks "Exercise Record" on the "Health Record" homepage, record the exercise and view exercise advice.

[0170] The system detects whether the user has "weight information". If there is weight information, the exercise type, date, start time, and duration of the manually added exercise are added; if there is no weight information, the exercise type, date, start time, duration, and weight of the manually added exercise are added.

[0171] Figure 13 It is a schematic diagram of a page of a "Health Plan" column of a mini program shown according to an exemplary embodiment.

[0172] 3. As Figure 13 shown, when the user adds a "Health Plan" column on the "Health Record" homepage, the system automatically generates a "Questionnaire", "Popular Science Knowledge Reading", and "Upload Report" based on the user's "Health Plan".

[0173] Among them, the user can add "Medication Reminder" and "Follow-up Appointment Reminder" in the "Health Plan" column, and the mini program will prompt the user at the set time.

[0174] The user can also fill in the "Questionnaire" and read the "Popular Science Knowledge Reading" according to personal interests and preferences.

[0175] "Upload Report" is used for users to manually upload their own inspection reports, including report type, inspection date, platelet count, hemoglobin content, white blood cell content, and report pictures.

[0176] Figure 14 It is a page schematic diagram of a small program "Today's Tasks" shown according to an exemplary embodiment.

[0177] 4. As Figure 14 shown, the user selects the pushed health plan according to personal interests and preferences, such as a weight loss plan, sets health goals, and the system forms a personalized health plan, diet suggestions, exercise suggestions, and diet management, and tracks the user's progress and adjusts the health management plan according to the actual situation.

[0178] Figure 15 It is a page schematic diagram of "Questionnaire Survey", "Weight Loss Goals", and "Weight Loss Plan" of a small program shown according to an exemplary embodiment. Figure 16 It is a schematic diagram of a "Health Management Plan" pushed based on the health plan selected by the user shown according to an exemplary embodiment.

[0179] As Figure 15 、 Figure 16 shown, if the user selects a weight loss plan, first fill out a questionnaire survey, then manually set their own weight loss goals, and the system automatically generates a weight loss plan. The user can manage their own health management plan by themselves, including weight records, diet suggestions, and exercise suggestions. The user manually adds the types and weights of the foods for breakfast, lunch, dinner, and snacks they consume every day in the diet suggestions.

[0180] The user can click to view "Popular Science Knowledge" and "Reminders" in "Today's Tasks". The system provided by the present disclosure divides the user's "Health Management Plan" into "Today's Tasks", and pushes health advice information and health popular science information to the user according to the user's interests and needs to form "Popular Science Knowledge" for the user to click and view.

[0181] Step 4: The user interaction module provides a user interaction interface and collects the experience feedback information of mobile phone users to optimize the user's personalized health management plan.

[0182] Among them, the user can also fill out an experience feedback questionnaire to feedback user experience information.

[0183] Adopting a personalized health management plan generation system provided by the present disclosure, providing users with accurate and personalized health management plans, improving the user's health management effect and quality of life, and realizing a user-friendly interaction interface to enhance the user experience.

[0184] The specific embodiments of the present disclosure have been described above. It should be understood that the present disclosure is not limited to the above specific embodiments, and those skilled in the art can make various deformations or modifications within the scope of the claims, which does not affect the essence of the present disclosure. The above preferred features can be used in any combination without conflict.

Claims

1. A personalized health management plan generation system, characterized in that Including: A user data collection module for collecting user data, where the user data includes the user's login information, personal basic information, health data information, and medical data information; A data analysis module for analyzing the user data, conducting a health assessment on the user, and identifying the user's health needs and health risks; A solution generation module for generating a personalized health management solution for the user based on the user data; A user interaction module for interacting with the user to collect the user's experience feedback information and optimize the user's personalized health management solution.

2. The personalized health management plan generation system according to claim 1, wherein The health data information includes health monitoring data, lifestyle information, and physiological data information.

3. The personalized health management plan generation system according to claim 2, wherein The user data collection module includes: A user login sub-module for collecting the user's login information, where the login information includes account information, contact information, and real-name registration information; A health monitoring device interface for connecting to a health monitoring device to import the user's health monitoring data, where the user's health monitoring data includes heart rate, body temperature, blood oxygen, blood sugar, pressure, and sleep; A medical and health database interface for connecting to a medical institution to import the user's medical data information, where the user's medical data information includes home health management records, test records, examination records, and physical examination records.

4. The personalized health management plan generation system according to claim 3, characterized in that, The user data collection module further includes a manual recording sub-module for the user to manually input the personal basic information, the lifestyle information, and the physiological data information.

5. The personalized health management plan generation system according to claim 4, characterized in that, The personal basic information includes gender, age, height, and weight; The lifestyle information includes diet preference information, exercise habit information, and sleep pattern information; The physiological data information includes heart rate, body temperature, blood oxygen, blood sugar, blood pressure, and sleep.

6. The personalized health management plan generation system according to claim 1, wherein The data analysis module includes: A health assessment sub-module for setting assessment questions and conducting a health assessment on the user; A health need identification sub-module for analyzing the user data and the user's health assessment results to identify the user's health needs; A health risk identification sub-module for analyzing the user data and the user's health assessment results to identify the user's health risks.

7. The personalized health management plan generation system according to claim 1, characterized in that The solution generation module includes: A personalized health plan sub-module for generating the user's diet advice information, exercise advice information, health advice information, and health popular science information; A health task sub-module for generating the user's daily health tasks; A health report sub-module for conducting a questionnaire survey on the user and generating the user's health report.

8. The personalized health management plan generation system according to claim 7, characterized in that, The personalized health plan sub-module includes: A diet advice sub-module for determining the user's daily calorie requirement according to a preset nutrition algorithm and generating the user's diet advice information based on the user's diet preference information, diet restriction information, seasonal food information, and local eating habits; A sports advice sub-module, which is used to determine the sports advice information of the user according to the user's physical fitness test results, sports history, schedule, and weather conditions. The sports advice information includes sports type, sports intensity, sports time, and sports frequency; A health advice sub-module, which is used to determine the health advice information of the user according to the user's health risks. The health advice information includes: health improvement suggestions, disease prevention strategies, and health promotion strategies; A health popularization sub-module, which is used to form the user's health popularization information according to the user's health status and the user's interests.

9. The personalized health management plan generation system according to claim 1, wherein The user interaction module includes: A mobile application interface sub-module, which is used for the display of the interaction interface on the mobile application; A health monitoring device interface sub-module, which is used for the display of the interaction interface on the health monitoring device; A health record management sub-module, which is used to manage the health records of the current user or non-current user.

10. The personalized health management plan generation system according to claim 9, wherein The user interaction module further includes: A user feedback sub-module, which is used to collect the user's experience feedback information; A solution adjustment sub-module, which is used to optimize the user's personalized health management solution according to the user's experience feedback information and the change amount of the user data.

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