CN114496247A - Community health management system - Google Patents
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Abstract
The application discloses community health management system includes: the health big data platform is used for acquiring health data of the user and providing health medical service for the user; the artificial intelligence health intervention platform is used for formulating a health intervention scheme according to the health data of the user, evaluating the behavior health index of the user and providing private health assistant service for the user; and the health risk grading management platform is used for evaluating the body health index of the user according to the health data of the user, and performing intelligent underwriting and disease early warning. According to the community health management system provided by the embodiment of the application, the health data of the user can be intelligently acquired, the health risk of the user is evaluated, a differentiated health intervention scheme is formulated for the user, the community user is helped to control the occurrence and the development of diseases, the compliance and the enthusiasm of the user are improved, and the community public is provided with a happy and better life.
Description
Technical Field
The invention relates to the technical field of community management, in particular to a community health management system.
Background
In the face of the global trend of chronic disease growth and accelerated population aging, the need for health management has not been limited to traditional medical institutions, and there is an increasing desire to have comprehensive healthcare support in the home and in the everyday life environment. With the continuous improvement of living standard, the concept of human health is gradually changing, and health, health care and disease treatment are not only matters of governments, hospitals and medical institutions, but also matters of everyone. People are more actively concerned about their health and wellness than ever before and wish to manage complex health data.
Therefore, providing a community health management system is a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The embodiment of the application provides a community health management system. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
The embodiment of the application provides a community health management system, which comprises:
the health big data platform is used for acquiring health data of the user and providing health medical service for the user;
the artificial intelligence health intervention platform is used for formulating a health intervention scheme according to the health data of the user, evaluating the behavior health index of the user and providing private health assistant service for the user;
and the health risk grading management platform is used for evaluating the body health index of the user according to the health data of the user, and performing intelligent underwriting and disease early warning.
In an optional embodiment, the health big data platform comprises:
the health data acquisition module is used for acquiring body index data, behavior data, physical examination data, case data and medical image data of a user;
the health medical service module is used for providing fitness and fat reduction services, health consultation services, chronic disease management services, physical examination services, gene detection services, data interpretation services, oral cavity services, medical services, medicine services, home services and overseas services for the user.
In an optional embodiment, the health big data platform comprises a heterogeneous data access layer, a uniform data access interface layer, a data processing layer and a data application layer which are sequentially connected.
In an optional embodiment, an artificial intelligence health intervention platform, comprising:
the health intervention module is used for formulating a health intervention scheme according to the body health data of the user and sending the health intervention scheme to the user terminal;
the behavior health evaluation module is used for evaluating a user behavior health index according to the completion condition of the health intervention scheme of the user;
and the intelligent assistant module is used for providing private health assistant service for the user.
In an optional embodiment, formulating the health intervention program from the physical health data of the user comprises:
and formulating one or more of daily drinking water scheme, diet scheme, exercise scheme, sleep scheme, psychological scheme and medicine taking scheme of the user according to the physical health data of the user, and configuring completion scores for each scheme.
In an optional embodiment, the evaluating the user behavioral wellness index based on the completion of the user's wellness intervention program comprises:
acquiring a scheme of a user every day to finish a card punching record;
calculating the daily behavior health index of the user according to the score corresponding to the card punching record;
calculating the monthly behavioral health index of the user according to the daily behavioral health index of the user;
and updating the user points of the user every month according to the behavior health indexes of the user every month.
In an optional embodiment, the intelligent helper module comprises:
the nutrition assistant unit is used for shooting a diet picture of a user, identifying and recording food materials in the diet picture, performing man-machine interaction with the user, receiving diet knowledge inquiry information of the user and returning an inquiry result;
the motion assistant unit is used for performing man-machine interaction with the user, identifying the action information of the user, outputting prompting information for action correction, receiving the motion knowledge inquiry information of the user and returning an inquiry result;
and the chronic disease assistant unit is used for performing man-machine interaction with the user, sending out medicine taking reminding information, review reminding information, prevention reminding information and diet reminding information, receiving disease knowledge inquiry information of the user and returning an inquiry result.
In an optional embodiment, the health risk stratification management platform comprises:
the data acquisition module is used for acquiring user body index data, behavior data, physical examination data, case data and medical image data which are acquired by the health big data platform;
the data preprocessing module is used for carrying out data cleaning on body index data, behavior data, physical examination data, case data and medical image data, establishing a user health file and constructing a user portrait;
and the body health evaluation module is used for evaluating the body health index of the user according to the user health file and carrying out disease risk early warning.
In an optional embodiment, the physical fitness evaluation module comprises:
the body health index evaluation unit is used for evaluating the body health index of the user according to the user health profile;
the intelligent underwriting unit is used for calculating a comprehensive health index according to the statistical characteristics of the body health index distribution and the statistical characteristics of the behavior health index distribution and obtaining a corresponding insurance level according to the comprehensive health index;
and the risk early warning unit is used for carrying out abnormal index early warning, disease diagnosis pointing early warning and risk factor early warning.
In an optional embodiment, further comprising:
the visualization module is used for visually displaying the behavior health index, the body health index, the disease early warning information and the medical service information of the user;
and the user login module is used for logging in a user and providing point exchange service according to the user points.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the community health management system provided by the embodiment of the application, the health data of the user can be intelligently acquired, various medical services are provided for the user, the health risk of the user is evaluated, a differentiated health intervention scheme is formulated for the user, a healthier life style is supervised and urged for the user by adopting game thinking, man-machine interaction with the user is realized by utilizing technologies such as computer vision, natural language processing and the like, private health assistant service is provided, the community user is helped to control the occurrence and development of diseases, the compliance and the enthusiasm of the user are improved, and the pleasure and the quality life are brought to the community public.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is a block diagram illustrating a community health management system in accordance with an exemplary embodiment;
FIG. 2 is a schematic diagram illustrating a health big data platform in accordance with an exemplary embodiment;
FIG. 3 is a diagram illustrating an application of a health big data platform, according to an example embodiment;
FIG. 4 is a schematic diagram illustrating an application of a health big data platform, according to an example embodiment
FIG. 5 is a schematic diagram illustrating an artificial intelligence health intervention platform in accordance with an exemplary embodiment;
FIG. 6 is a schematic diagram illustrating a health risk stratification management platform according to an exemplary embodiment.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Rather, they are merely examples of systems and methods consistent with certain aspects of the invention, as detailed in the appended claims.
The community health management is boring and tedious for most users, many people can not insist on for a long time, the big data platform of data thing networking community health is passed through to this application, health risk hierarchical management platform, artificial intelligence health intervention platform, the scheme novelty implantation health management who can fine mobilize user's enthusiasm such as "grade system", "task collection" in the recreation thinking simultaneously, through the mode with the operation of recreation, let the user easily overcome self inertia, promote the health of oneself in the amusement.
The community health management system provided by the embodiment of the present application will be described in detail below with reference to the accompanying drawings.
Referring to fig. 1, the system specifically comprises a health big data platform a1, an artificial intelligence health intervention platform a2, and a health risk classification management platform A3.
In one possible implementation, a health big data platform includes: and the health data acquisition module is used for acquiring body index data, behavior data, physical examination data, case data and medical image data of the user.
Specifically, the health big data platform can be connected with interfaces of various acquisition devices to realize the acquisition of user health data. For example, a body temperature acquisition device may be connected to acquire and record body temperature data of the user. The intelligent bracelet capable of being connected with a user can collect sleep data of the user, such as sleep starting time, sleep ending time, effective sleep time and the like, and can also collect exercise data of the user, such as steps, consumption, distance and the like on the day. The blood pressure meter can be connected to collect data such as systolic pressure, diastolic pressure and the like of a user, and the blood glucose meter can be connected to collect data such as blood glucose value and the like of the user.
The medical image acquisition system also comprises a data interface for connecting with a hospital, and the medical image acquisition system acquires physical examination data and case data of a user, such as medical time, diagnosis records and the like, and also can acquire medical image data of the user. In one possible implementation manner, the health big data platform can also record behavior data of the user, for example, record life behavior information such as diet information, motion information, psychological information, drinking information and the like of the user.
Through the data acquisition module, the health behavior data are integrated, so that the data can be acquired more simply, more perfectly, more accurately and more scientifically.
In a possible implementation mode, the health big data platform further comprises a health medical service module, hundreds of medical services can be provided for users, and the life of the users is greatly facilitated.
Specifically, the health medical service module can provide fitness and fat reduction services for the user, such as publishing fitness videos, performing fat reduction guidance, performing fitness guidance, making a fitness room appointment for card transaction and the like. The health counseling service can be provided for users, such as health counseling, health assessment, dietary nutrition, family doctors, health management, health lectures and the like. The user can be provided with chronic management services, such as hypertension, diabetes, hyperlipidemia, chronic assessment, chronic management, and the like. The physical examination service can be provided for the user, such as the services of the in-service physical examination, the staff physical examination, the routine physical examination, the high-end physical examination, the special physical examination and the like. The system can provide gene detection services for users, such as genetic gene detection, malignant tumor detection, cardiovascular and cerebrovascular detection, metabolism and immunity detection and the like. The data interpretation service can be provided for users, such as index data interpretation, physical examination report interpretation, data interpretation weekly report, data interpretation monthly report and the like. Oral services such as tooth cleaning, tooth whitening, tooth filling, root canal treatment, etc. can be provided to the user. The medical service can be provided for the user, for example, the services such as appointment registration, medical green and open, hospitalization green and open, operation green and open, examination green and open, serious illness green and open and the like, and the medicine service can be provided for the user, for example, the services such as online medicine purchasing and medicine purchasing are provided. The system can provide the user with home service, such as doctor home service, nurse home service, physical examination home service, medicine delivery home service and the like, and can provide the user with overseas service, such as overseas medical treatment, overseas diagnosis and treatment, remote consultation, overseas physical examination and the like.
In an optional embodiment, the health big data platform comprises a heterogeneous data access layer, a uniform data access interface layer, a data processing layer and a data application layer which are sequentially connected. As shown in fig. 2, the data sources of different categories are abstracted, and different access data sources (such as different acquisition devices and different forms of medical services) are encapsulated, so that a layered architecture is designed to isolate heterogeneous data sources. The bottom layer is a heterogeneous data access layer, and specifically adapts to different devices, ports, protocols and the like, obtains original data, performs related decoding operations, and further provides processed data for the upper layer. The middle layer mainly has the functions of providing a uniform data access interface, hiding the processing process of lower-layer heterogeneous data in an SDK mode and providing the uniform data access interface for the upper layer. The second middle layer is a data processing layer and comprises functions and modules of rich data synchronization, user authentication, flow control, load balancing and the like. The topmost layer is a data application layer, is a consumer of data, and comprises different terminals using platform data, such as a cloud end protocol, a Bluetooth relay, an APP, a WeChat applet and the like.
As shown in fig. 3, behavior data such as exercise, sleep, nutrition, mental health and the like, and body index data such as heart rate, blood pressure, blood sugar, weight, body temperature and the like are acquired through a data platform of the internet of things health big data platform, and various data access modes such as a cloud-end protocol, a bluetooth relay, an APP, a wechat applet and the like are used for enabling various application scenes in the downstream, such as application scenes in family health (a medical question-answering robot), a smart community, a health city, intelligent insurance industry and the like.
As shown in fig. 4, by building a community health service platform and integrating the most comprehensive medical health service resources, one-stop health service access, such as access to services of physical examination institutions, medical health institutions, internet enterprise services, and the like, can be realized. Meanwhile, medical health services are standardized and commercialized, a health service system is established, and the health service system is provided for customer service of a B end, a C end and a G end through a service interface of a health big data platform of the Internet of things. The client does not need to care about details such as specific data suppliers, data protocols and the like, only needs to determine parameters such as content, form, scale and the like of required data according to own requirements, and can carry out one-stop data acquisition service through the medical service platform of the health big data platform of the Internet of things.
The community health management system further comprises an artificial intelligence health intervention platform, wherein the artificial intelligence health intervention platform is used for formulating a health intervention scheme according to health data of a user, evaluating a user behavior health index and providing private health assistant service for the user.
In one possible implementation, an artificial intelligence health intervention platform includes: and the health intervention module is used for formulating a health intervention scheme according to the physical health data of the user and sending the health intervention scheme to the user terminal so as to realize the guidance promotion of the user.
Wherein the health intervention scheme comprises one or more of a user's daily drinking water scheme, diet scheme, exercise scheme, sleep scheme, psychological scheme, and medication scheme, and a completion score is configured for each scheme. In an exemplary scenario, a user a is obese and does not like eating vegetables and fruits, has hypertension and hyperlipidemia, and recommends more exercise, more drinking water, light diet and less staying up all night, so a specific health intervention scheme can be formulated for the user a, for example, drinking water 8 times a day, three meals with light nutrition and balanced nutrition, running at least 2 kilometers a day, getting to bed at 10 o' clock, taking medicine on time, completing each task for 20 minutes, and sending the task to a user terminal in the form of a task each day, thereby urging the user to complete on time and keeping good living habits.
The system also comprises a behavior health evaluation module which is used for evaluating the behavior health index of the user according to the completion condition of the health intervention scheme of the user. Specifically, a daily scheme of the user is obtained to complete a card punching record, and a daily behavioral health index of the user is calculated according to a score corresponding to the card punching record, for example, the user A finishes drinking, taking medicine, punching sleep, but does not finish sports and diet punching, the today behavioral health index of the user A is 60 points, and if the user A completely completes an intervention scheme, the today behavioral health index of the user A is 100 points. Record the user's daily behavioral health index. And calculating the behavior health index of the user every month according to the behavior health index of the user every day, for example, taking the average value of the behavior health indexes of the user every day in the month as the behavior health index of the month.
Furthermore, reward measures can be implemented according to the behavior health indexes of the users, and the enthusiasm and interestingness of the users are improved. For example, the user score per month is updated according to the behavioral health index of the user per month, if the behavioral health index of the user in the month is lower than 80 points, the user score is not increased, and if the behavioral health index of the user in the month is greater than or equal to 80 points, the user score is increased by 10 points. The user can exchange the points for commodities, points for coupons and other activities according to the points, and the participation degree of the user is improved.
The intelligent assistant module is also used for providing private health assistant service for the user. Wherein, intelligent assistant module includes: and the nutrition assistant unit is used for shooting the diet picture of the user and intelligently identifying the diet picture of the user so as to obtain the diet record of the user. For example, the user feels it cumbersome to enter a meal for each meal, and may turn on a nutrition assistant, take a picture of the meal, and automatically identify and record the user's meal. And man-machine interaction can be carried out with the user, the diet knowledge query information of the user is received, and a query result is returned.
In one exemplary scenario, the user may enter voice or text query information, such as a query for three meal nutrition collocation, a reduced sugar menu, a reduced fat package, etc., and the nutrition assistant may return voice, text, or picture query results.
The motion assistant unit is used for performing man-machine interaction with the user, identifying the action information of the user, outputting prompting information for action correction, receiving the motion knowledge inquiry information of the user and returning an inquiry result.
In an exemplary scenario, a user may exercise through a motion assistant, such as yoga exercise, the motion assistant takes pictures of the user, recognizes user actions through human body image processing, compares the user actions with standard actions, and outputs voice reminding information to help the user to correct the actions when the user actions are not standard. The voice query information of the user can be received, the voice of the user is recognized through a natural voice processing technology, for example, the user can query a yoga teaching video, a gymnastics video and a rehabilitation training video, and after the query information of the user is received, a user query result is returned from the built-in knowledge base.
The system also comprises a chronic disease assistant unit which is used for carrying out man-machine interaction with the user, sending out medicine taking reminding information, review reminding information, prevention reminding information and diet reminding information, receiving disease knowledge inquiry information of the user and returning an inquiry result. In one exemplary scenario, the user B has diabetes mellitus, needs to inject insulin regularly every day, and strictly controls the sugar intake, so the private assistant module can remind the user of injecting insulin regularly, remind the user of blood sugar change, plan three meals for the user, and remind on time. The user can also inquire some disease knowledge through voice, characters and other inquiry modes, such as inquiring the difference between the anemofrigid cold and the anemofrigid cold, inquiring the attention items of the hypertension disease, inquiring the diet attention items of the gout patient and the like, after receiving the inquiry information of the user, carry out semantic recognition, and call a knowledge base to return an inquiry result.
As shown in fig. 5, the artificial intelligence health intervention platform can identify the voice, text, and action information of the user through a computer vision technology, a natural language processing technology, an intelligent recommendation technology, a man-machine interaction technology, and the like, and call the built-in knowledge bases such as a professional prescription base, a sports video base, a course base, a nutrition base, a chart base, a task base, a tag base, a picture base, and the like, and return the query result of the user.
Through providing private intelligent assistant service, can carry out human-computer interaction with the user, improve the intelligent of community health management system, help the emergence and the development of community user control disease, bring the happy life with more having the quality for the community masses.
The community health management system further comprises a health risk grading management platform used for evaluating the body health index of the user according to the health data of the user, and performing intelligent underwriting and disease early warning.
In an optional embodiment, the health risk classification management platform comprises a data acquisition module for acquiring the user body index data, the behavior data, the physical examination data, the case data and the medical image data acquired by the health big data platform.
The system also comprises a data preprocessing module which is used for carrying out data cleaning on the body index data, the behavior data, the physical examination data, the case data and the medical image data, and the cleaned data is combined with the service requirements to establish a uniform health file. A label user portrait system of million-level health medical treatment and user behaviors is established on the basis of massive user files.
The system also comprises a body health evaluation module used for evaluating the body health index of the user according to the user health record and carrying out disease risk early warning. Wherein, health assessment module includes: and the body health index evaluation unit is used for evaluating the body health index of the user according to the user health profile. For example, the physical health index of the user is divided into 5 grades, the first grade is 80-100 grades, the physical examination report of the user has no abnormal index and the user has no medical record in the last period of time, the second grade is 60-80 grades, the physical examination report of the user has the abnormal index but no medical record, the third grade is 40-60 grades, the physical examination report of the user has the abnormal index and medical record but the diagnosis result belongs to mild diseases, the fourth grade is 20-40 grades, the physical examination report of the user has the abnormal index and medical record but the diagnosis result belongs to moderate diseases, and the fifth grade is 0-20 grades, the physical examination report of the user has the abnormal index and medical record but the diagnosis result belongs to severe diseases.
The intelligent underwriting unit is used for calculating a comprehensive health index according to the statistical characteristics of the body health index distribution and the statistical characteristics of the behavior health index distribution and obtaining a corresponding insurance application grade according to the comprehensive health index.
Specifically, the daily behavioral health index and the daily physical health index of the user can be obtained, and the comprehensive health index of the user is obtained according to the weighted sum of the average value of the behavioral health indexes and the average value of the physical health indexes in the current time period of the user. For example, the overall health index is calculated according to the following formula:
C＝α*P+β*H
wherein C represents a comprehensive health index, P represents an average value of a behavioral health index, H represents an average value of a physical health index, and α and β represent weighting coefficients, and in one possible implementation, α is equal to 0.3 and β is equal to 0.7.
Furthermore, after the comprehensive health index of the user is obtained, intelligent underwriting can be performed, and the insurance company sets a proper insurance level for the user according to the comprehensive health index of the user. The comprehensive health index combining behavioral health and physical health has higher accuracy, and the physical condition of the community public can be analyzed by counting the comprehensive health index of community personnel.
The system also comprises a risk early warning unit for carrying out abnormal index early warning, disease diagnosis pointing early warning and risk factor early warning.
Specifically, the risk early warning unit may analyze the physical condition of the user according to the health record of the user, for example, the physical examination report of the user shows that the blood pressure value is abnormal, and the risk early warning unit may send the abnormal index information to the user terminal to perform abnormal index early warning, and may also give a disease diagnosis pointing early warning to remind the user to go to a hospital to perform corresponding disease examination, for example, the blood sugar value of the user is abnormal, and may remind the user to go to the hospital to perform diabetes examination. And risk factor early warning can be carried out, and high risk factors are output to remind a user.
As shown in fig. 6, the health risk classification management platform includes a data collection module for collecting user health data such as physical examination data, device data, and service data, and a data storage preprocessing module for performing data cleaning, constructing health records, and constructing user figures. The system comprises an evaluation application module which is used for performing functions of disease prediction, risk early warning, health intervention and the like.
In an optional embodiment, the community health management system further comprises: and the visualization module is used for visually displaying the behavior health index, the body health index, the disease early warning information and the medical service information of the user. For example, the disease early warning information of the user is highlighted and displayed to remind the user to check the body, and the medical service information is displayed, so that the user can easily enter the service interface to conveniently purchase medicines, make a reservation and register and other services.
The system also comprises a user login module used for logging in a user, displaying the points of the user account after the user logs in, and also provides a point market, so that the user can perform the activities of point exchange, coupon purchase and the like in the point market. By setting up user points, the enthusiasm and interest of the user can be improved.
According to the community health management system provided by the embodiment of the application, the user can change from passive medical treatment to active health, the compliance of the user is improved, a complete user health file is formed and the user condition is approved and graded by means of the core capacity of continuous data acquisition, data processing and health intervention, a differentiated health plan is formulated, and dynamic wind control on the user is realized in the management process. The intelligent insurance can be further carried out according to the comprehensive health condition of the user, cost and risk of insurance enterprises are reduced, and meanwhile customer experience and operation efficiency of the insurance enterprises are improved, and operation cost is reduced. The digital health management capability is used for connecting industries such as medical treatment, medicine, protection, intelligent hardware and the like in series, the configuration capability and resources are optimized, and the health management service of the whole life cycle is made for each user. The community user is helped to control the occurrence and development of diseases, the compliance and the enthusiasm of the user are improved, and the community public is provided with happy and better life.
All possible combinations of the technical features in the above embodiments may not be described for the sake of brevity, but should be considered as being within the scope of the present disclosure as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that various changes and modifications can be made by those skilled in the art without departing from the spirit of the invention, and these changes and modifications are all within the scope of the invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A community health management system, comprising:
the health big data platform is used for acquiring health data of the user and providing health medical service for the user;
the artificial intelligence health intervention platform is used for formulating a health intervention scheme according to the health data of the user, evaluating the behavior health index of the user and providing private health assistant service for the user;
and the health risk grading management platform is used for evaluating the body health index of the user according to the health data of the user, and performing intelligent underwriting and disease early warning.
2. The system of claim 1, wherein the health big data platform comprises:
the health data acquisition module is used for acquiring body index data, behavior data, physical examination data, case data and medical image data of a user;
the health medical service module is used for providing fitness and fat reduction services, health consultation services, chronic disease management services, physical examination services, gene detection services, data interpretation services, oral cavity services, medical services, medicine services, home services and overseas services for the user.
3. The system of claim 2, wherein the health big data platform comprises a heterogeneous data access layer, a unified data access interface layer, a data processing layer, and a data application layer, which are connected in sequence.
4. The system of claim 1, wherein the artificial intelligence health intervention platform comprises:
the health intervention module is used for formulating a health intervention scheme according to the body health data of the user and sending the health intervention scheme to the user terminal;
the behavior health evaluation module is used for evaluating a user behavior health index according to the completion condition of the health intervention scheme of the user;
and the intelligent assistant module is used for providing private health assistant service for the user.
5. The system of claim 4, wherein formulating the health intervention program based on the physical health data of the user comprises:
and formulating one or more of daily drinking water scheme, diet scheme, exercise scheme, sleep scheme, psychological scheme and medicine taking scheme of the user according to the physical health data of the user, and configuring completion scores for each scheme.
6. The system of claim 4, wherein evaluating a user behavioral health index based on completion of the health intervention program by a user comprises:
acquiring a scheme of a user every day to finish a card punching record;
calculating the daily behavior health index of the user according to the score corresponding to the card punching record;
calculating the monthly behavioral health index of the user according to the daily behavioral health index of the user;
and updating the user points of the user every month according to the behavior health indexes of the user every month.
7. The system of claim 4, wherein the intelligent helper module comprises:
the nutrition assistant unit is used for shooting a diet picture of a user, identifying and recording food materials in the diet picture, performing man-machine interaction with the user, receiving diet knowledge inquiry information of the user and returning an inquiry result;
the motion assistant unit is used for performing man-machine interaction with the user, identifying the action information of the user, outputting prompting information for action correction, receiving the motion knowledge inquiry information of the user and returning an inquiry result;
and the chronic disease assistant unit is used for performing man-machine interaction with the user, sending out medicine taking reminding information, review reminding information, prevention reminding information and diet reminding information, receiving disease knowledge inquiry information of the user and returning an inquiry result.
8. The system of claim 1, wherein the health risk stratification management platform comprises:
the data acquisition module is used for acquiring user body index data, behavior data, physical examination data, case data and medical image data which are acquired by the health big data platform;
the data preprocessing module is used for carrying out data cleaning on the body index data, the behavior data, the physical examination data, the case data and the medical image data, establishing a user health file and constructing a user portrait;
and the body health evaluation module is used for evaluating the body health index of the user according to the user health file and carrying out disease risk early warning.
9. The system of claim 8, wherein the physical fitness evaluation module comprises:
the body health index evaluation unit is used for evaluating the body health index of the user according to the user health profile;
the intelligent underwriting unit is used for calculating a comprehensive health index according to the statistical characteristics of the body health index distribution and the statistical characteristics of the behavior health index distribution and obtaining a corresponding insurance application grade according to the comprehensive health index;
and the risk early warning unit is used for carrying out abnormal index early warning, disease diagnosis pointing early warning and risk factor early warning.
10. The system of claim 1, further comprising:
the visualization module is used for visually displaying the behavior health index, the body health index, the disease early warning information and the medical service information of the user;
and the user login module is used for logging in a user and providing point exchange service according to the user points.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115295160A (en) * | 2022-08-16 | 2022-11-04 | 亿慧云智能科技（深圳）股份有限公司 | Self-service community health management system and management method |
| CN115331822A (en) * | 2022-10-11 | 2022-11-11 | 南京从景生物技术有限公司 | WeChat applet-based client health data collection and management system |
| CN115359906A (en) * | 2022-08-22 | 2022-11-18 | 温州城市智慧健康有限公司 | Intelligent health service system based on health big data |
| CN118412129A (en) * | 2024-05-14 | 2024-07-30 | 珠海灏睿数字技术有限公司 | An intelligent mobile platform for personalized medical and health management |
| CN118692622A (en) * | 2024-08-28 | 2024-09-24 | 义乌市江东街道社区卫生服务中心 | A method and device for processing health data of people in a target area based on big data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646366A (en) * | 2013-11-15 | 2014-03-19 | 北京耀华康业科技发展有限公司 | Interactive type autonomous heath management system and method |
| CN106934241A (en) * | 2017-03-16 | 2017-07-07 | 广州家庭医生在线移动新媒体科技有限公司 | It is health management system arranged |
| CN107301313A (en) * | 2017-05-05 | 2017-10-27 | 深圳前海红心养老运营管理有限公司 | A kind of new old service management system |
| US20170372017A1 (en) * | 2016-06-27 | 2017-12-28 | Casey Steffen | Healthcare self-management intervention system and method |
| CN108922623A (en) * | 2018-07-12 | 2018-11-30 | 中国铁道科学研究院集团有限公司 | A kind of health risk assessment and Disease Warning Mechanism information system |
| CN109215758A (en) * | 2018-11-12 | 2019-01-15 | 璧靛箍 | A kind of personal health behavioural habits training system |
-
2022
- 2022-01-13 CN CN202210038115.4A patent/CN114496247A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103646366A (en) * | 2013-11-15 | 2014-03-19 | 北京耀华康业科技发展有限公司 | Interactive type autonomous heath management system and method |
| US20170372017A1 (en) * | 2016-06-27 | 2017-12-28 | Casey Steffen | Healthcare self-management intervention system and method |
| CN106934241A (en) * | 2017-03-16 | 2017-07-07 | 广州家庭医生在线移动新媒体科技有限公司 | It is health management system arranged |
| CN107301313A (en) * | 2017-05-05 | 2017-10-27 | 深圳前海红心养老运营管理有限公司 | A kind of new old service management system |
| CN108922623A (en) * | 2018-07-12 | 2018-11-30 | 中国铁道科学研究院集团有限公司 | A kind of health risk assessment and Disease Warning Mechanism information system |
| CN109215758A (en) * | 2018-11-12 | 2019-01-15 | 璧靛箍 | A kind of personal health behavioural habits training system |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115295160A (en) * | 2022-08-16 | 2022-11-04 | 亿慧云智能科技（深圳）股份有限公司 | Self-service community health management system and management method |
| CN115295160B (en) * | 2022-08-16 | 2024-03-19 | 亿慧云智能科技（深圳）股份有限公司 | Self-service community health management system and management method |
| CN115359906A (en) * | 2022-08-22 | 2022-11-18 | 温州城市智慧健康有限公司 | Intelligent health service system based on health big data |
| CN115331822A (en) * | 2022-10-11 | 2022-11-11 | 南京从景生物技术有限公司 | WeChat applet-based client health data collection and management system |
| CN118412129A (en) * | 2024-05-14 | 2024-07-30 | 珠海灏睿数字技术有限公司 | An intelligent mobile platform for personalized medical and health management |
| CN118692622A (en) * | 2024-08-28 | 2024-09-24 | 义乌市江东街道社区卫生服务中心 | A method and device for processing health data of people in a target area based on big data |
| CN118692622B (en) * | 2024-08-28 | 2024-12-24 | 义乌市江东街道社区卫生服务中心 | A method and device for processing health data of people in a target area based on big data |
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