Cloud promotion system for health plan management

Abstract

The invention discloses a cloud promotion system and promotion method for health scheme management. The system comprises a user health data acquisition end, a data processing cloud end and a health scheme promotion end, wherein the user health data acquisition end is used for acquiring health state data of a user according to a preset period, and responding to a control instruction of the health scheme promotion end to remind the user to complete a health task; the data processing cloud is used for analyzing the health state data and generating a health management scheme corresponding to the user; and the health scheme promotion end is used for generating the control instruction according to the health management scheme and the health task and sending the control instruction to the user health data acquisition end. Through information interaction among the user health data acquisition end, the data processing cloud end and the health scheme promotion end, management and promotion of the health scheme of the user outside the hospital are realized, and the labor cost is saved.

Description

Technical Field

[0001] The present application relates to the technical field of health program management, and more specifically, to a cloud facilitation system for health program management. Background Art

[0002] Health risk factors are divided into modifiable factors and unmodifiable factors. Modifiable factors are important improvement dimensions in health management plans and are also an important part of the task of health promotion. At present, when implementing health management plans from hospital prescriptions to health management agencies, there is a problem: compliance. The health management plans issued can be very accurate, but due to user compliance problems caused by knowledge, belief and behavior, users cannot fully follow the prescriptions or plans, which is severely discounted and cannot achieve the purpose of correcting user's wrong behavior.

[0003] At present, hospitalization can be used to promote user compliance with health plans within the hospital. The means available outside the hospital are limited and unsystematic, and are mainly through general out-of-hospital health education methods. In other words, personalized health management plans and supporting promotion systems outside the hospital are currently blank.

[0004] However, health education is universal and only effective for a small number of people. Most people outside the hospital are limited by their knowledge structure, personality traits, and practical difficulties and cannot strictly follow the health plan. In particular, the implementation of medical advice, precision medication, dietary nutrition, reasonable exercise, targeted training, physical rehabilitation, anti-aging substance use, smoking cessation and alcohol restriction, sleep and psychological intervention, testing and monitoring promotion, etc. will have huge loopholes, which will ultimately affect the effectiveness of the health management plan. If it is all done manually, the requirements for health promoters are particularly high. They must not only understand medical knowledge, but also have health management knowledge and health promotion service management capabilities. The service cost is particularly huge. Summary of the invention

[0005] In response to at least one defect or improvement need in the prior art, the present invention provides a cloud promotion system for health plan management, which is used to solve the problems in the prior art that the out-of-hospital promotion of health plans through health education has poor effects and that manual promotion has high requirements for manual expertise, thereby increasing manual service costs.

[0006] To achieve the above-mentioned object, according to a first aspect of the present invention, a cloud promotion system for health plan management is provided, comprising: a user health data collection terminal, a data processing cloud terminal and a health plan promotion terminal; a cloud connection between any two of the user health data collection terminal, the data processing cloud terminal and the health plan promotion terminal;

[0007] Among them, the user health data collection terminal is used to collect the user's health status data according to the preset period, and respond to the control instructions of the health plan promotion terminal to remind the user to complete the health task;

[0008] The data processing cloud is used to analyze health status data and generate health management plans for users;

[0009] The health plan promotion terminal is used to generate control instructions based on the health management plan and health tasks and send them to the user health data collection terminal.

[0010] In a possible implementation, the data processing cloud includes a health record module, a personalized solution module, and a health task module; the health record module, the personalized solution module, and the health task module are connected in sequence;

[0011] Among them, the health record module is used to perform statistical analysis based on health status data and generate the health record of the corresponding user;

[0012] The personalized solution module is used to generate a health management plan for the user based on the analysis of the health records;

[0013] The health task module is used to formulate health tasks corresponding to users based on health management plans and health records.

[0014] In a possible implementation, the data processing cloud includes a promotion evaluation module; the promotion evaluation module is used to evaluate the promotion frequency, health task difficulty, user behavior, user physiology and satisfaction of the health management plan respectively;

[0015] The promotion evaluation module calculates the health management service performance by weighted evaluation based on promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0016] In a possible implementation, the health program promotion terminal includes: a promotion frequency module and a promotion trigger module;

[0017] Among them, the promotion frequency module is used to generate corresponding promotion frequencies according to health status data and health tasks;

[0018] The promotion trigger module is used to generate control instructions based on the promotion frequency and health tasks to remind users to complete corresponding health tasks.

[0019] In a possible implementation, the user health data collection terminal includes: a smart wearable device, a voice interaction device, and a mobile communication device;

[0020] Among them, the smart wearable device is used to collect the user's health status data according to a preset collection cycle;

[0021] The mobile communication device is used to send health status data and receive control instructions;

[0022] The voice interaction device is used to perform voice interaction by emitting voice according to control instructions.

[0023] In a second aspect, the present invention further provides a cloud promotion method for health plan management, based on a cloud promotion system for health plan management according to any one of the possible implementations described above, comprising:

[0024] Collect the user's health status data according to the preset period, and respond to control instructions to remind the user to complete health tasks;

[0025] Analyze health status data and generate health management plans and health tasks corresponding to users;

[0026] Generate control instructions based on health management plans and health tasks.

[0027] In a possible implementation, analyzing the health status data and generating a health management plan corresponding to the user also includes:

[0028] Perform statistical analysis based on health status data to generate health records for corresponding users;

[0029] Analyze the health records and generate the corresponding health management plan for the user;

[0030] Formulate corresponding health tasks for users based on health management plans and health records.

[0031] In a possible implementation, analyzing the health status data and generating a health management plan corresponding to the user also includes:

[0032] The health management program was evaluated on promotion frequency, health task difficulty, user behavior, user physiology, and satisfaction;

[0033] The performance of health management services is calculated by weighting based on promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0034] In a possible implementation, generating a control instruction according to the health management plan and the health task also includes:

[0035] Generate corresponding promotion frequency according to health status data and health tasks;

[0036] Based on the promotion frequency and health tasks, control instructions are generated to remind users to complete corresponding health tasks.

[0037] In a possible implementation, collecting the user's health status data according to a preset period, and responding to the control instruction to remind the user to complete the health task, also includes:

[0038] Collect the user's health status data according to a preset collection period;

[0039] Send health status data and receive control instructions;

[0040] Speak according to the control instructions to perform voice interaction.

[0041] In general, the above technical solutions conceived by the present invention can achieve the following beneficial effects compared with the prior art:

[0042] The present invention provides a cloud promotion system for health plan management. The system collects the health status data of the user according to a preset period through the user health data collection terminal, responds to the control command of the health plan promotion terminal to remind the user to complete the health task, analyzes the health status data through the data processing cloud, generates a health management plan corresponding to the user, generates a control command according to the health management plan through the health plan promotion terminal and sends it to the user health data collection terminal, and realizes automatic collection and analysis of the user's health status data through information interaction and data processing between the user health data collection terminal, the data processing cloud and the health plan promotion terminal, formulates a health management plan that meets the specific user, and can also promptly promote the user to complete the health management plan in accordance with the health management plan without manual promotion, thereby reducing labor costs and ensuring the effect of promoting health plan management. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0044] Figure 1 A schematic diagram of the structure of an embodiment of a cloud promotion system for health plan management provided by the present invention;

[0045] Figure 2 A flow chart of an embodiment of a cloud promotion method for health plan management provided by the present invention;

[0046] Figure 3 The present invention provides Figure 2 A flowchart of an embodiment of step S202;

[0047] Figure 4 The present invention provides Figure 2Schematic diagram of a flow chart of an embodiment of step S201 in FIG. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention. In addition, the technical features involved in the various embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0049] The terms "first", "second", "third", etc. in the specification and claims of this application and the above-mentioned drawings are used to distinguish different objects, rather than to describe a specific order. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes other steps or units inherent to these processes, methods, products or devices.

[0050] See also Figure 1 , Figure 1 A schematic diagram of a structure of an embodiment of a cloud promotion system for health plan management provided by the present invention. In a specific embodiment of the present invention, a cloud promotion system 100 for health plan management is disclosed, including: a user health data collection terminal 110, a data processing cloud terminal 120 and a health plan promotion terminal 130; any two of the user health data collection terminal 110, the data processing cloud terminal 120 and the health plan promotion terminal 130 are cloud-connected;

[0051] The user health data collection terminal 110 is used to collect the user's health status data according to a preset period, and respond to the control instructions of the health plan promotion terminal 130 to remind the user to complete the health task;

[0052] The data processing cloud 120 is used to analyze the health status data and generate a health management plan corresponding to the user;

[0053] The health plan promotion terminal 130 is used to generate control instructions according to the health management plan and health tasks and send them to the user health data collection terminal 110.

[0054] In the above embodiments, the present invention provides a fully integrated health plan management cloud promotion system, which aims to provide users with personalized and scientific health management services through advanced cloud computing and big data technologies. The system not only covers the core links of user health data collection, intelligent data processing and health plan formulation, but also integrates efficient information transmission mechanism and humanized interactive experience, forming a closed-loop health management system.

[0055] The user health data collection terminal 110 needs to perform multi-source data collection and intelligent reminders and interactions. In multi-source data collection, the collection terminal needs to integrate a variety of sensor technologies, such as smart wearable devices (smart bracelets, heart rate monitoring chest straps, etc.), smart home health monitoring devices (smart body fat scales, blood pressure monitors), and health questionnaires actively entered by users, covering the user's physiological indicators (such as heart rate, blood pressure, blood oxygen saturation, sleep quality), exercise data (number of steps, exercise duration, exercise intensity), eating habits and psychological state and other multi-dimensional information. Intelligent reminders and interactions need to automatically send reminder notifications to the user's mobile phone or wearable device according to the preset cycle or user's personalized needs, encouraging users to complete health data entry or participate in health tasks (such as timed measurements, sports challenges, etc.) on time. At the same time, it supports voice interaction functions to facilitate operations for the elderly or users who are not accustomed to using touch screen devices.

[0056] Data processing cloud 120 needs to conduct advanced data analysis, using machine learning and artificial intelligence technology to deeply mine and analyze massive health data, identify health trends, potential risks and improvement points. By building a user health portrait, the user's health status can be accurately assessed and future health status can be predicted. A personalized health management plan is also required. Based on the analysis results, the system automatically generates a personalized health management plan, including dietary recommendations, exercise plans, mental health guidance and disease prevention strategies. The plan fully considers the user's age, gender, physique, living habits and health status to ensure the pertinence and effectiveness of the plan. As well as data security, advanced encryption technology and privacy protection mechanisms are used to ensure the security and privacy of user data during transmission, storage and processing, so that users have no worries.

[0057] The health plan promotion terminal 130 requires intelligent control instruction generation. According to the health management plan, specific control instructions are automatically generated, such as regularly reminding users to do a certain exercise, adjust the diet structure, or conduct mental health exercises. Instructions come in various forms, including text notifications, voice reminders, video tutorials, etc., to meet the preferences and needs of different users. Effect tracking and feedback, continuously tracking the user's implementation of the health plan, collecting feedback data, and evaluating the effectiveness of the plan. Dynamically adjust the health management plan based on the user's actual progress and feedback to ensure the continuous optimization and adaptability of the plan. Community interaction and incentives, build a health management community platform to encourage users to share health experiences, participate in health challenges, and encourage and support each other. Through incentive mechanisms such as points and medals, improve user participation and the continuity of health management.

[0058] Compared with the prior art, the cloud promotion system 100 for health plan management provided in this embodiment collects the user's health status data according to a preset period through the user health data collection terminal 110, and responds to the control instruction of the health plan promotion terminal 130 to remind the user to complete the health task, and uses the data processing cloud 120 to analyze the health status data, generate a health management plan corresponding to the user, and generate a control instruction according to the health management plan through the health plan promotion terminal 130 and send it to the user health data collection terminal 110. Through the information interaction and data processing between the user health data collection terminal 110, the data processing cloud 120 and the health plan promotion terminal 130, it is realized to automatically collect and analyze the user's health status data, formulate a health management plan that meets the specific user, and can also promptly promote the user to complete it according to the health management plan without manual promotion, thereby reducing labor costs while also ensuring the effect of promoting health plan management.

[0059] In some embodiments of the present invention, the data processing cloud 120 includes a health record module, a personalized solution module, and a health task module; the health record module, the personalized solution module, and the health task module are connected in sequence;

[0060] Among them, the health record module is used to perform statistical analysis based on health status data and generate the health record of the corresponding user;

[0061] The personalized solution module is used to generate a health management plan for the user based on the analysis of the health records;

[0062] The health task module is used to formulate health tasks corresponding to users based on health management plans and health records.

[0063] In the above embodiment, first, the health record module receives the original data from the user health data collection terminal 110, performs necessary cleaning and integration, removes noise data, and ensures the accuracy and completeness of the data. Subsequently, statistical methods and data analysis tools are used to conduct in-depth analysis of the health status data, including trend analysis, anomaly detection, etc., to reveal the changing patterns of the user's health status and potential health problems. Based on the above analysis, a detailed health record is generated for each user. This record not only contains basic information such as the user's physiological indicators, exercise data, and eating habits, but also incorporates advanced analysis results such as health risk assessment and disease warning, providing users with a comprehensive and intuitive overview of their health status.

[0064] The personalized program module receives the output of the health record module, that is, the user's health record, as the basis for formulating a health management plan. This module uses artificial intelligence algorithms and expert systems, combined with medical knowledge bases and best practices, to tailor personalized health management plans for users. Taking into account the individual differences of users and the dynamic changes in their health status, the personalized program module also has a program optimization function. By continuously monitoring changes in user health data, the program content is adjusted in a timely manner to ensure the pertinence and effectiveness of the program. Finally, the customized health management plan is presented to the user in an easy-to-understand way, including text descriptions, chart displays, video tutorials and other forms, to help users better understand and implement the plan.

[0065] The health task module is further refined into specific health tasks based on the health management plan output by the personalized solution module. These tasks may include daily exercise requirements, diet plans, health check reminders, etc., aimed at helping users gradually improve their health. Each user is assigned a corresponding health task, and a reminder notification is sent through channels such as the user health data collection terminal 110 or mobile applications. At the same time, the module is also responsible for tracking the completion of user tasks and recording data changes during task execution. Based on the feedback on the completion of user tasks, the health task module can evaluate the actual effect of the health management plan, and work with the personalized solution module to make necessary adjustments and optimizations to the plan to better meet the health needs of users.

[0066] It should be noted that, in some embodiments of the present invention, the health record includes: user basic information, user medical history information, user behavior data, user physiological data and historical promotion records.

[0067] In the above embodiment, the user basic information, user medical history information, user behavior data, user physiological data and historical promotion records in the established health file may specifically include age, gender, contact information, personal medical history, medication history, family medical history, surgical trauma history, diet, drinking, smoking, exercise, training, sleep, psychology, test reports from hospitals or physical examination institutions, height, weight, waist circumference, waist-to-hip ratio, blood pressure, blood sugar, blood lipids, blood oxygen, uric acid, homocysteine, bone density, body composition, lung capacity, muscle, balance, anti-aging substance intake, physical rehabilitation, questionnaire evaluation, program records, promotion records, etc.

[0068] In some embodiments of the present invention, the personalized plan includes: a dietary nutrition plan, a metabolic energy consumption plan, an annual health plan, a medical advice plan, and a behavioral habit plan.

[0069] In the above embodiments, the dietary nutrition plan, metabolic energy consumption plan, annual health plan, medical advice plan and behavioral habit plan in the personalized plan may specifically include medical advice, five major characteristics of fitness, physiological data differences, life quality body characteristics analysis, intervention dimensions, material integrity-dietary nutrition plan, metabolic balance-energy consumption plan, anti-aging substance intake plan, fitness reserve-training plan, steady-state program-rehabilitation plan, quantitative knowledge popularization, five-year health goals, annual management plan, quarterly testing and evaluation plan adjustment plan, two-week behavioral habit development plan, daily health behavior plan, etc.

[0070] In some embodiments of the present invention, health tasks include: periodic review tasks, daily medication tasks, dietary nutrition tasks, daily exercise tasks, periodic rehabilitation tasks, and behavioral habit tasks.

[0071] In the above embodiments, the periodic review tasks, daily medication tasks, dietary nutrition tasks, daily exercise tasks, periodic rehabilitation tasks and behavioral habit tasks in the health tasks may specifically include medical advice, medication advice, dietary nutrition guidance, exercise guidance, training guidance, rehabilitation guidance, anti-aging substance guidance, smoking cessation guidance, alcohol restriction guidance, sleep guidance, mood adjustment guidance, monitoring supervision, testing supervision, etc.

[0072] In some embodiments of the present invention, the data processing cloud includes a promotion evaluation module; the promotion evaluation module is used to evaluate the promotion frequency, health task difficulty, user behavior, user physiology and satisfaction of the health management plan respectively;

[0073] The promotion evaluation module calculates the health management service performance by weighted evaluation based on promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0074] In the above embodiment, the promotion evaluation module focuses on a comprehensive and objective evaluation of the health management program developed by the cloud promotion system (i.e., the health management solution composed of all the modules working together in the data processing cloud 120). This evaluation process is not only related to the effectiveness and scientificity of the program, but also directly affects the effect of improving the health of users and the continuous optimization of the system.

[0075] The primary purpose of the evaluation is to verify the effectiveness of the health management program in actual application, including the degree of improvement in the user's health status and the reduction of health risks. Collect feedback from users on the program, such as satisfaction, implementation difficulty, and improvement suggestions, to provide a direct basis for program optimization. By analyzing the evaluation results, the deficiencies of the system are discovered, which promotes the continuous optimization and upgrading of each module of the data processing cloud 120.

[0076] The evaluation method can adopt statistical methods to conduct quantitative analysis on the before-and-after comparison of user health data, task completion rate, health indicator improvement rate, etc., so as to objectively evaluate the effect of the program with data. In addition, it can combine user interviews, questionnaires and other methods to deeply understand the user's feelings, experience and suggestions on the program, and provide a multi-dimensional perspective for the evaluation. Finally, based on the results of quantitative evaluation and qualitative analysis, a comprehensive score is given to each health management program to form an intuitive evaluation result.

[0077] Please refer to Table 1, which is an evaluation table of an embodiment of the health management program evaluation provided by the present invention. In some embodiments of the present invention, the promotion evaluation module evaluates the health management program formulated by the cloud promotion system, including: promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0078] In the above embodiment, a single health promotion includes dimensions such as promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0079] Table 1 Health management program evaluation table

[0080]

[0081] The promotion frequency evaluation conducts a comprehensive evaluation based on the promotion frequency of health tasks within a period of time and the set promotion frequency parameters, and makes a specific evaluation based on the situation of exceeding or falling below the promotion frequency parameters.

[0082] The difficulty evaluation of health tasks can collect users' subjective feelings about the difficulty of tasks through questionnaire surveys and user interviews, and analyze them in combination with objective data such as task completion rate and completion time. According to the evaluation results, the difficulty of tasks can be appropriately adjusted to ensure that the tasks can promote the health improvement of users without causing excessive psychological burden.

[0083] User behavior evaluation determines different promotion directions based on whether the task is completed: if the task is completed, praise; if the task is not completed, criticism, encouragement, guidance, and suggestions. Behavior data will also generate behavior points. Behavior points have an upper limit, and based on the customer's completion status, the percentage of behavior points to the standard can be obtained.

[0084] The user's physiological evaluation mainly determines whether the data meets the standard and whether there is improvement. If the data meets the standard and there is improvement, it will be praised and the results will be formed into effect cases; if there is no improvement, the reasons will be found and encouragement will be given. Physiological data will also generate scores. Physiological scores are calculated based on the percentages of the nine systems.

[0085] Satisfaction evaluation mainly determines the degree of customer satisfaction with health management services. If satisfied, the customer will be given a five-star rating. If dissatisfied, the customer will be given suggestions such as changing the service provider, changing the time, changing the location, changing the service method, changing the content of the service, etc., and reach an agreement. Satisfaction data will also generate a satisfaction score. The highest single service satisfaction score is 5 stars, and the lowest is 0 stars.

[0086] In some embodiments of the present invention, the promotion evaluation module is also used to perform weighted calculation of health management service performance based on promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0087] Specifically, in Table 1, if the service frequency exceeds the promised number by 10%, it is "high", if the service frequency is lower than the promised number by 10%, it is low, and if the service frequency is between 90% and 110% of the promised number, it is "medium".

[0088] If the customer has not started to complete the health task after 3 or more promotions, the service difficulty is "difficult"; if the customer has started to complete the health task after 2 promotions, the service difficulty is "average"; if the customer has been promoted 0-1 times, the service difficulty is "easy".

[0089] If the behavioral score exceeds 80% of the required score, it is "high"; if the behavioral score exceeds 60% of the required score, it is "medium"; if it is less than 60% of the required score, it is "low".

[0090] If the physiological score exceeds 80% of the required score, it is considered "high", if it exceeds 60% of the required score, it is considered "medium", and if it is less than 60% of the required score, it is considered "low".

[0091] The satisfaction score is calculated as the average number of five-star reviews given for a single service. An average of 4 stars or above is considered "satisfied", an average of 3-4 stars is considered "average", and an average of 3 stars or less is considered "unsatisfied".

[0092] In some embodiments of the present invention, the health plan promotion terminal 130 includes: a promotion frequency module and a promotion trigger module;

[0093] Among them, the promotion frequency module is used to generate corresponding promotion frequencies according to health status data and health tasks;

[0094] The promotion trigger module is used to generate control instructions based on the promotion frequency and health tasks to remind users to complete corresponding health tasks.

[0095] In the above embodiment, the frequency of the health task of the customer is determined according to the guidance of the health task in the health plan:

[0096] For example, medical advice is to go to the hospital for an in-depth reexamination within 3 months. If the customer submits the hospital's reexamination records within 3 months, the task will be completed.

[0097] For example, for medication recommendations and daily dosage of a certain medicine, customers can complete the process by submitting their dosage records through the mini program.

[0098] For example, in dietary nutrition guidance, customers can submit their food diaries or take photos of their food through the mini program. The system will automatically calculate whether their food proportions are in line with the recommendations in the plan and determine whether the task is completed or not.

[0099] For example, in sports guidance, customers can automatically collect and upload daily exercise data, such as total kilocalories consumed and total number of steps, through smart wearable devices, apps or mini-programs, and compare them with the recommendations in the plan. A judgment of whether the task is completed or not is given based on whether the standards are met.

[0100] For example, in training guidance, customers automatically collect and upload daily training data through smart wearable devices, apps, or mini-programs. Information such as training items, time, intensity, etc. are automatically uploaded and compared with the recommendations in the plan. A judgment is made as to whether the task is completed or not based on whether the standards are met.

[0101] For example, in rehabilitation guidance, customers automatically collect and upload daily rehabilitation data through smart wearable devices, apps, or mini-programs. Information such as rehabilitation items, time, intensity, etc. are automatically uploaded and compared with the recommendations in the plan. A judgment of whether the task is completed or not is given based on whether the standards are met.

[0102] For example, the anti-aging substance in the health plan instructs the customer to take 2 tablets of Cialis each morning, noon and evening. Therefore, the customer needs to submit records 3 times a day, each record is 2 tablets of Cialis, and the task is completed.

[0103] For example, in the case of smoking cessation guidance, if the client has the habit of smoking, he or she can be asked the question "Have you quit smoking today?" a certain frequency. If the answer is "yes", the task is completed and can be repeated after one month. If the answer is "no", the task is not completed, and the question must be repeated every day for the next 21 days. If the answer is "yes" and the question is still answered "yes" for 14 days, the task is completed.

[0104] For example, alcohol restriction guidance: if the customer has a habit of drinking, through a certain frequency of questions "Have you stopped drinking today?", if the answer is "yes", the task is completed and repeated after 1 month; if the answer is "no", the task is not completed, and the question is repeated every day in the next 21 days. After answering "yes", if it continues for 14 days, the task is completed. Otherwise, the task is not completed.

[0105] For example, sleep guidance can automatically upload sleep records every night through smart wearable devices, and automatically compare the total sleep time and deep sleep, light sleep and other time with the recommended plan. If the target is met, the task is completed. If the target is not met, the task is not completed, and the method and content to help sleep are automatically pushed.

[0106] For example, mood adjustment guidance can automatically upload mood and stress indicators through smart wearable devices, automatically compare them with recommended solutions, and complete the task if the target is met. If the target is not met, the task is not completed, and methods and content to help with mood adjustment are automatically pushed.

[0107] For example, monitoring supervision, based on the self-monitoring of customer physiological indicators recommended in the plan, and monitoring data uploaded by smart wearable devices or customers through APP, mini-programs, such as blood pressure, blood sugar, waist circumference, etc., the task is completed if the upload frequency meets the recommendations of the plan, otherwise the task is not completed.

[0108] For example, inspection supervision: according to the recommendations in the plan, the customer is required to do certain inspections within a certain time limit. If the customer uploads the inspection report through the APP, mini program, etc. in a timely manner, the task is considered completed. Otherwise, the task is not completed.

[0109] The promotion trigger module can be implemented in two ways: online promotion and offline promotion. Online promotion includes telephone, WeChat, text messages, video calls, etc. Offline promotion, i.e. face-to-face promotion, includes family, community, health management company, medical and health institutions, insurance companies, nursing homes, etc. The present invention does not further limit the specific forms of online and offline.

[0110] In some embodiments of the present invention, the user health data collection terminal 110 includes: a smart wearable device, a voice interaction device, and a mobile communication device;

[0111] Among them, the smart wearable device is used to collect the user's health status data according to a preset collection cycle;

[0112] The mobile communication device is used to send health status data and receive control instructions;

[0113] The voice interaction device is used to perform voice interaction by emitting voice according to control instructions.

[0114] In the above embodiments, the mobile communication device may be a mobile phone or other mobile devices, specifically an APP (installed and used by the customer), a mini program, a phone, WeChat, a text message, etc. that utilizes the device. The voice interaction device may be a conversation robot, etc. The smart wearable device may be a smart bracelet, etc.

[0115] It should be noted that mobile communication devices, such as smartphones and tablets, are not only indispensable communication tools in daily life, but also an important part of the user health data collection terminal 110. They establish a stable data communication link with the data processing cloud 120 and the health program promotion terminal 130 through a wireless network or mobile data connection. Users can upload personal health data, such as weight, height, blood pressure, etc., through health management applications on mobile communication devices, and receive data analysis reports and personalized health recommendations from the cloud. At the same time, mobile communication devices also support real-time synchronization functions to ensure that users' health data can be updated in a timely manner, providing the latest and most accurate data support for the formulation and adjustment of health management programs.

[0116] Voice interaction devices, such as smart speakers and conversational robots, provide users with a more convenient and natural way of interaction. These devices have built-in advanced speech recognition and synthesis technologies, which can accurately understand the user's control instructions and interact with the user in the form of voice. In the process of health data collection, voice interaction devices can assist users in completing certain operations, such as reminding users to monitor their health and asking about their physical condition. Through voice interaction, users can easily complete the entry and query of health data without manual operation, which greatly improves the convenience and efficiency of health management.

[0117] Smart wearable devices, such as smart watches, health bracelets and smart insoles, are the "close nurses" in the user's health data collection terminal 110. These devices are usually light, comfortable, easy to wear, and can automatically collect the user's health status data according to a preset cycle. These data include but are not limited to heart rate, blood pressure, number of steps, sleep quality, movement trajectory, etc., covering many aspects of the user's daily life and health status. Smart wearable devices are connected to mobile communication devices through wireless technologies such as NFC, Bluetooth or Wi-Fi, and the collected data is transmitted in real time to the data processing cloud 120 for analysis and processing. By continuously monitoring the user's health status, smart wearable devices can promptly detect potential health problems and provide users with timely health warnings and intervention suggestions.

[0118] See also Figure 2 , Figure 2A flow chart of an embodiment of a cloud promotion method for health plan management provided by the present invention. In a second aspect, the present invention further provides a cloud promotion method for health plan management, based on a cloud promotion system for health plan management according to any one of the possible implementations described above, comprising:

[0119] S201, collecting the user's health status data according to a preset period, and responding to the control instruction to remind the user to complete the health task;

[0120] S202, analyzing the health status data to generate a health management plan and health tasks corresponding to the user;

[0121] S203: Generate control instructions according to the health management plan and health tasks.

[0122] In the above embodiment, the system uses multiple channels such as wearable devices and mobile applications to automatically collect the user's health status data according to the preset period (such as daily, weekly or monthly) customized by the user or recommended by the system. These data include but are not limited to heart rate, blood pressure, number of steps, sleep quality, eating habits and emotional state. The system will also intelligently adjust the frequency and focus of data collection according to the user's behavioral habits and health status to ensure the comprehensiveness and timeliness of the data.

[0123] At the same time, the system has a built-in powerful interactive reminder mechanism, which can respond to control commands in a timely manner through text messages, APP push, voice assistants and other methods, and remind users to complete established health tasks, such as drinking water on time, exercising, taking medicine, etc., to enhance user participation and compliance.

[0124] The collected health status data will be uploaded to the cloud server for in-depth mining and intelligent analysis using advanced technologies such as big data analysis and machine learning. The system can automatically identify the user's health trends, potential risks and improvement points, and generate personalized health management plans and specific health tasks based on the user's specific situation and health goals (such as weight loss, muscle gain, and improved sleep quality).

[0125] These plans and tasks not only take into account the user's physiological indicators, but also incorporate multidisciplinary knowledge such as psychology and nutrition to ensure the comprehensiveness and scientific nature of the plan. In addition, the system will dynamically adjust the plan content based on user feedback and progress to achieve personalized customization and continuous optimization.

[0126] According to the health management plan and health tasks, the system further generates detailed control instructions and pushes them to users through various channels. These instructions include but are not limited to exercise plans, dietary recommendations, psychological adjustment strategies and health tips, etc., aiming to guide users to gradually improve their living habits and improve their health level.

[0127] In order to ensure the effective execution of instructions, the system also provides a variety of precise intervention methods. For example, the user's exercise status can be monitored through smart wearable devices, and the exercise effect can be fed back in real time to adjust the training intensity; food intake can be controlled using smart kitchen equipment to ensure the implementation of the diet plan; or emotional support can be provided through AI chatbots to help users relieve stress.

[0128] See also Figure 3 , Figure 3 The present invention provides Figure 2 In some embodiments of the present invention, analyzing the health status data to generate a health management plan corresponding to the user also includes:

[0129] S301, perform statistical analysis based on health status data to generate a health profile of the corresponding user;

[0130] S302, analyzing the health records to generate a health management plan for the user;

[0131] S303: Formulate health tasks corresponding to the user based on the health management plan and health records.

[0132] In the above embodiment, first, the user's health status data is collected from various health monitoring devices (such as smart bracelets, body fat scales, blood pressure monitors, etc.), medical examination records, user self-reports (such as diet, exercise habits, sleep quality, etc.) and other channels. Ensure the integrity and accuracy of the data, and screen and correct the abnormal values. Then, the collected data is cleaned to remove duplicate, incomplete or erroneous data items. At the same time, the data is standardized according to international or industry standards to facilitate cross-time and cross-user comparative analysis. Then, statistical methods (such as descriptive statistics, correlation analysis, trend analysis, etc.) are used to conduct in-depth analysis of the cleaned data to identify the current status, change trends and potential risks of the user's health indicators (such as BMI, blood pressure, blood sugar, heart rate, etc.). Finally, based on the statistical analysis results, a multi-dimensional health file containing basic user information, health indicator history records, risk assessment results, living habits, etc. is constructed. The file should be easy to access to facilitate subsequent analysis and the formulation of health management plans.

[0133] Using professional algorithms or models, combined with data in health records and medical knowledge bases, conduct a comprehensive assessment of users' current and future health risks, including chronic disease risks, nutritional imbalance risks, mental health risks, etc. Based on the risk assessment results, communicate with users to jointly set achievable health improvement goals, such as weight loss goals, blood pressure control ranges, and increased exercise. Goals should be specific, quantifiable, and time-limited. Based on goal setting, develop a personalized health management plan in combination with the user's living habits, preferences, and actual conditions. The plan should cover multiple aspects such as diet adjustments, exercise plans, psychological adjustments, regular physical examinations, etc., and provide specific implementation steps and suggestions. Consider user feedback and the actual situation during the implementation of the plan, and regularly evaluate and adjust the health management plan to ensure the effectiveness and sustainability of the plan.

[0134] Break down the recommendations in the health management plan into specific health tasks, such as "walk 10,000 steps a day", "30 minutes of aerobic exercise three times a week", "reduce carbohydrate intake at dinner", etc. Use health management apps, smart devices and other tools to assign tasks to users and set timer reminders to help users develop good health habits. Establish a tracking mechanism for task completion, regularly collect user completion data, and evaluate the effectiveness of task execution. At the same time, provide feedback channels to encourage users to share their experiences and make suggestions, so as to continuously optimize health management plans and task settings. Establish a reward mechanism, such as giving points, coupons and other rewards after completing phased goals, to enhance users' sense of participation and achievement and promote the continuous implementation of health management plans.

[0135] In some embodiments of the present invention, analyzing the health status data and generating a health management plan corresponding to the user also includes:

[0136] The health management program was evaluated on promotion frequency, health task difficulty, user behavior, user physiology, and satisfaction;

[0137] The performance of health management services is calculated by weighting based on promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation.

[0138] In the above embodiment, the promotion frequency evaluation is to evaluate the number and frequency of each promotion measure (such as health education, health consultation, reminder service, etc.) in the health management plan actually executed or participated by the user, so as to reflect the activity of the plan and the user's participation. Specifically: record the number of times and time of users' participation in health promotion activities through the health management platform or APP. Calculate statistical indicators such as the average participation frequency of each activity and the proportion of the total number of participants. According to the preset frequency standard (such as at least X times a month), the promotion frequency of each activity is evaluated and scored.

[0139] The purpose of health task difficulty evaluation is to assess the difficulty of each health task in the health management plan, to ensure that the task is both challenging and feasible, and to avoid being excessive or insufficient. Specifically, a professional medical team or health consultant will conduct a comprehensive analysis of the content, requirements, time limits, etc. of the task. The user's subjective feedback on the difficulty of the task will be collected through questionnaires, interviews, etc. Combining professional analysis and user feedback, each task will be rated for difficulty (such as simple, medium, difficult).

[0140] User behavior evaluation is to assess the behavior changes of users in the process of implementing health management programs, including the formation of good habits and the correction of bad habits. Specifically: using data sources such as health monitoring equipment and APP logs to continuously track changes in users' health behaviors. Analyze the changing trends of user behavior data and identify the key points of behavior changes. Evaluate and score the effect of user behavior changes based on the specific circumstances of the behavior changes and the preset health goals.

[0141] The purpose of user physiological evaluation is to objectively evaluate the improvement effect of the health management program on the user's health status by regularly testing the user's physiological indicators (such as blood pressure, blood sugar, body fat percentage, etc.). Specifically: regularly arrange for users to undergo physical examinations or use portable devices to self-test physiological indicators at home. Compare and analyze the test data with the baseline data (data before the implementation of the program). Based on the comparison results, evaluate the user's improvement at the physiological level and give an evaluation score.

[0142] The purpose of satisfaction evaluation is to understand the user's satisfaction and overall feelings about the health management program, which serves as an important reference for program improvement. Specifically, collect user satisfaction feedback through questionnaires, online evaluations, etc. Perform statistical analysis on the collected satisfaction data to identify the focus and issues of user concern. Score the user's satisfaction based on the statistical results and preset scoring criteria.

[0143] Weighted calculation of health management service performance First determine the weights: According to the organization's goals, user needs and the characteristics of the program, reasonably determine the weights of each evaluation indicator. The weight distribution should reflect the importance and relative contribution of each evaluation indicator. Then calculate the individual score: multiply the score of each evaluation indicator by its corresponding weight to obtain the weighted score of the individual evaluation indicator. Then summarize the total score: add up the weighted scores of all individual evaluation indicators to obtain the total score of health management service performance. Finally, performance evaluation: Based on the total score and the preset performance evaluation standards (such as excellent, good, general, poor, etc.), conduct a comprehensive evaluation of the performance of the health management service.

[0144] In some embodiments of the present invention, generating control instructions according to the health management plan and the health task also includes:

[0145] Generate corresponding promotion frequency according to health status data and health tasks;

[0146] Based on the promotion frequency and health tasks, control instructions are generated to remind users to complete corresponding health tasks.

[0147] In the above embodiments, in order to understand the gap between the user's current health status and the established health goals, the health tasks that need to be achieved are clearly defined. The user's health status data (such as weight, blood pressure, exercise volume, etc.) is compared with the target values ​​in the health management plan, and based on the comparison results, the health tasks that the user needs to focus on are identified, such as increasing exercise volume, adjusting diet structure, etc.

[0148] Then, prioritize the tasks according to their urgency and importance. Set a reasonable promotion frequency for each task based on the priority of the task, the user's daily habits, and the natural cycle of health improvement (such as weight loss speed, habit formation cycle, etc.). For example, for high-priority tasks (such as daily exercise), a higher reminder frequency can be set; for tasks that require long-term adjustments (such as improving diet structure), a milder reminder frequency can be set.

[0149] Convert the promotion frequency and health tasks into specific control instructions so that reminders can be sent to users through the health management platform or device. Design clear and concise control instructions based on the specific content of the health tasks and the promotion frequency. The instructions should clearly inform users what tasks need to be completed, when to complete them, and possible ways to complete them (such as using specific equipment, following specific steps, etc.). Consider the user's personal preferences and habits and personalize the control instructions. For example, for users who like morning exercises, the reminder time for exercise tasks can be set in the early morning; for users who prefer video tutorials, links to relevant teaching videos can be attached to the reminders. Utilize the automation function of the health management platform or device to generate control instructions according to the set promotion frequency and time points, and send reminders to users through multiple channels such as SMS, APP push, and voice assistants.

[0150] Collect data on users' completion of health tasks through health management platforms or devices to monitor the execution effect of instructions. Collect feedback from users on control instructions regularly to understand users' satisfaction, acceptance and improvement suggestions for instructions. Adjust and optimize control instructions based on execution monitoring results and user feedback. For example, if users feedback that the reminder time is inappropriate, the reminder time can be adjusted; if users feedback that the instruction content is not clear enough, the instruction expression can be optimized.

[0151] See also Figure 4 , Figure 4 The present invention provides Figure 2In some embodiments of the present invention, collecting the user's health status data according to a preset period, and responding to the control instruction to remind the user to complete the health task, also includes:

[0152] S401, collecting the user's health status data according to a preset collection period;

[0153] S402, sending health status data and receiving control instructions;

[0154] S403: Send out voice according to the control instruction to perform voice interaction.

[0155] In the above embodiments, a reasonable health data collection cycle is set according to the needs of the health management program and the specific circumstances of the user (such as age, health status, living habits, etc.), such as daily, weekly or monthly. Automatic collection devices such as smart wearable devices and home health monitoring instruments are used to automatically obtain the user's health status data according to the preset collection cycle, such as heart rate, blood pressure, number of steps, sleep quality, etc. The collected health status data is securely stored in the cloud or local database for subsequent analysis and processing.

[0156] Ensure that the collected health status data can be synchronized to the health management platform in real time or at regular intervals to ensure the timeliness and accuracy of the data. The health management platform conducts in-depth analysis of the received health status data, evaluates the user's health status and progress, and generates corresponding control instructions based on the analysis results. The generated control instructions are transmitted to the user-end device (such as smartphones, smart watches, etc.) through a secure and reliable channel (such as the Internet, NFC, Bluetooth, etc.). The user-end device receives and parses the control instructions and prepares to execute the next step.

[0157] Convert control instructions into voice form. This usually involves text-to-speech (TTS) conversion technology to ensure that the voice content is clear, accurate and in line with the user's language habits. Play voice instructions through the speaker of the user-end device to remind the user to complete specific health tasks. The voice content should be concise, clear, easy to understand and execute. In some cases, voice interaction functions can also be supported, allowing users to confirm receipt of instructions, ask for details or ask questions through voice replies. This requires the user-end device to have voice recognition and natural language processing capabilities. Establish a user feedback mechanism to collect user feedback on the voice interaction experience in order to continuously optimize and improve the voice interaction function. For example, channels such as satisfaction evaluation and problem feedback can be set up to encourage users to actively participate.

[0158] In summary, the present invention provides a cloud promotion system 100 for health plan management, which collects the user's health status data according to a preset period through the user health data collection terminal 110, and responds to the control instructions of the health plan promotion terminal 130 to remind the user to complete the health task, and uses the data processing cloud 120 to analyze the health status data, generate a health management plan corresponding to the user, and generate a control instruction according to the health management plan through the health plan promotion terminal 130 and send it to the user health data collection terminal 110. Through the information interaction and data processing between the user health data collection terminal 110, the data processing cloud 120 and the health plan promotion terminal 130, it is realized to automatically collect and analyze the user's health status data, formulate a health management plan that meets the specific user, and can also promptly promote the user to complete it according to the health management plan without manual promotion, thereby reducing labor costs while also ensuring the effect of promoting health plan management.

[0159] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0160] In the several embodiments provided in the present application, it should be understood that the disclosed devices can be implemented in other ways. For example, the device embodiments described above are only schematic, such as the division of the units, which is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some service interfaces, and the indirect coupling or communication connection of devices or units can be electrical or other forms.

[0161] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0162] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0163] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable memory. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a memory, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned memory includes: U disk, read-only memory (ROM), random access memory (RAM), mobile hard disk, disk or optical disk and other media that can store program code.

[0164] A person of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable memory, which can include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0165] The above is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure cannot be limited thereto. That is, any equivalent changes and modifications made according to the teachings of the present disclosure are still within the scope of the present disclosure. After considering the specification and practicing the disclosure here, those skilled in the art will easily think of the implementation scheme of the present disclosure. This application is intended to cover any modification, use or adaptation of the present disclosure, which follows the general principles of the present disclosure and includes common knowledge or customary technical means in the technical field not recorded in the present disclosure. The description and examples are regarded as exemplary only, and the scope and spirit of the present disclosure are defined by the claims.

[0166] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0167] It will be easily understood by those skilled in the art that 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 and improvements made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A cloud facilitation system for health program management, characterized in that: include: User health data collection terminal, data processing cloud and health plan promotion terminal; Any two of the user health data collection terminal, the data processing cloud and the health plan promotion terminal are connected by cloud; The user health data collection terminal is used to collect the user's health status data according to a preset period, and respond to the control instructions of the health plan promotion terminal to remind the user to complete the health task; The data processing cloud is used to analyze the health status data and generate a health management plan corresponding to the user; The health plan promotion terminal is used to generate the control instruction according to the health management plan and the health task and send it to the user health data collection terminal.

2. The cloud facilitation system for health regimen management according to claim 1, characterized in that: The data processing cloud includes a health record module, a personalized solution module and a health task module; the health record module, the personalized solution module and the health task module are connected in sequence; The health record module is used to perform statistical analysis based on the health status data to generate a health record for the corresponding user; The personalized solution module is used to analyze the health records and generate a health management solution for the user; The health task module is used to formulate health tasks corresponding to users based on the health management plan and the health record.

3. The cloud facilitation system for health regimen management according to claim 2, characterized in that: The data processing cloud includes a promotion evaluation module; the promotion evaluation module is used to evaluate the promotion frequency, health task difficulty, user behavior, user physiology and satisfaction of the health management plan respectively; The promotion evaluation module performs weighted calculation of health management service performance according to the promotion frequency evaluation, the health task difficulty evaluation, the user behavior evaluation, the user physiological evaluation and the satisfaction evaluation.

4. The cloud facilitation system for health regimen management according to claim 2, characterized in that: The health program promotion terminal includes: a promotion frequency module and a promotion trigger module; Wherein, the promotion frequency module is used to generate corresponding promotion frequencies according to the health status data and the health tasks; The promotion trigger module is used to generate a control instruction based on the promotion frequency and the health task to remind the user to complete the corresponding health task.

5. The cloud facilitation system for health regimen management according to claim 1, characterized in that: The user health data collection terminal includes: smart wearable devices, voice interaction devices and mobile communication devices; Wherein, the smart wearable device is used to collect the user's health status data according to a preset collection cycle; The mobile communication device is used to send the health status data and receive the control instruction; The voice interaction device is used to send out voice according to the control instruction to perform voice interaction.

6. A cloud promotion method for health plan management, based on the cloud promotion system for health plan management as described in any one of claims 1 to 5 above, characterized in that: include: Collect the user's health status data according to the preset period, and respond to control instructions to remind the user to complete health tasks; Analyze the health status data to generate a health management plan and health tasks corresponding to the user; The control instruction is generated according to the health management plan and the health task.

7. The cloud-facilitated method for health regimen management according to claim 6, wherein: The analyzing the health status data to generate a health management plan corresponding to the user also includes: Perform statistical analysis based on the health status data to generate a health profile of the corresponding user; Analyze the health records and generate a health management plan for the user; Formulate health tasks corresponding to the user based on the health management plan and the health record.

8. The cloud-facilitated method for health regimen management according to claim 7, wherein: The analyzing the health status data to generate a health management plan corresponding to the user also includes: Conduct promotion frequency evaluation, health task difficulty evaluation, user behavior evaluation, user physiological evaluation and satisfaction evaluation on the health management program respectively; The health management service performance is calculated by weighting according to the promotion frequency evaluation, the health task difficulty evaluation, the user behavior evaluation, the user physiological evaluation and the satisfaction evaluation.

9. The cloud-facilitated method for health regimen management according to claim 6, wherein: The generating the control instruction according to the health management plan and the health task also includes: Generate a corresponding promotion frequency according to the health status data and the health task; Based on the promotion frequency and the health task, a control instruction is generated to remind the user to complete the corresponding health task.

10. The cloud-facilitated method for health regimen management according to claim 6, wherein: The method of collecting the user's health status data according to a preset period and responding to the control instruction to remind the user to complete the health task also includes: Collecting the user's health status data according to the preset collection period; Sending the health status data and receiving the control instruction; A voice is emitted according to the control instruction to perform voice interaction.

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