CN111798952A - Resident health management medical big data platform - Google Patents
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Abstract
The invention discloses a resident health management medical big data platform, which comprises a health monitoring module, a data acquisition module and a data processing module, wherein the health monitoring module is used for acquiring vital sign data and motion data of a user through a monitoring terminal; and a personal health archive base which is in communication connection with the monitoring module and is established according to the disease history of the user, the vital sign data and the movement data of the user and the basic information parameters of the user; the health management system is respectively in communication connection with the personal health archive and the health monitoring module and is used for managing the health of residents; the health management system consists of a disease management library, a medical guide module and a diagnosis module; the resident health management medical big data platform achieves the purposes of reducing the morbidity of chronic diseases and genetic diseases and delaying the development of diseases, and realizes the functions of statistical analysis of vaccination related information, vaccine safety management, immune decision analysis and the like.
Description
Technical Field
The invention relates to a big data platform, in particular to a resident health management medical big data platform, and belongs to the technical field of medical big data.
Background
With the problems of aggravation of aging of population in China, rising of threat of chronic diseases, rapid development of urbanization, continuous improvement of medical service requirements of common people and the like, medical improvement in China has entered deep water areas at present, and new challenges are faced in aspects of medical resource allocation, medical service mode conversion, enhancement of management and operation performance of medical and health institutions and the like. Meanwhile, with the development of information technology, the fusion and penetration of new-generation information technology represented by cloud computing, big data, the internet of things and the mobile internet and the traditional industry inevitably bring deep changes to the production and life of human beings.
Medical guessing and conversion to medical practice can be accelerated by big data technology: by means of the ever-increasing private and public medical data, the big data technology helps people to store and manage the big medical data and extract value from a large amount of high-complexity data, the related medical technology and products are continuously emerged, and a new golden age is possibly developed for the medical industry.
However, the health management medical service system at present can only collect health data of a user, or can evaluate the current state of an individual according to the collected data, but cannot give a specific guidance method, and cannot provide immune decision analysis. In addition, when the existing health management medical service system analyzes and processes medical big data, the influence of genetic factors is not considered, and the accuracy of the medical big data is reduced. Therefore, in order to solve the above problems, it is necessary to design a new large data platform for resident health management and medical care.
Disclosure of Invention
In order to solve the problems, the invention provides a large medical data platform for resident health management, which achieves the purposes of reducing the morbidity of chronic diseases and genetic diseases and delaying the development of the diseases, and realizes the functions of statistical analysis of vaccination related information, vaccine safety management, immune decision analysis and the like.
The resident health management medical big data platform comprises a health monitoring module for acquiring vital sign data and motion data of a user through a monitoring terminal, wherein the monitoring terminal comprises wearable equipment and home health monitoring equipment, and the data such as motion, sleep, weight, blood pressure and the like can be monitored through the wearable equipment and the home health monitoring equipment; and a personal health archive base which is in communication connection with the monitoring module and is established according to the disease history of the user, the vital sign data and the movement data of the user and the basic information parameters of the user; the health management system is respectively in communication connection with the personal health archive and the health monitoring module and is used for managing the health of residents;
the health management system consists of a disease management library, a medical guide module and a diagnosis module;
the disease management library comprises a chronic disease management module for monitoring and preventing common chronic diseases, a genetic disease management module for screening, monitoring and early warning user family genetic diseases, and a vaccine management module for counting vaccination conditions; establishing a chronic disease management library such as a hypertension management library, a diabetes management library and the like according to the classification of the chronic diseases; establishing a genetic disease management library according to genetic disease classification; the method has the advantages that the common high-incidence chronic diseases and genetic diseases are prevented and managed, the targeted danger warning is fed back to a health medical instruction module such as a family doctor and the like, regular health education, health promotion and health life style guidance are carried out, the health management participation degree of patients with chronic diseases is improved, the self-monitoring capability of the whole population is improved, and the purposes of reducing the incidence rate of the chronic diseases and the genetic diseases and delaying the development of the diseases are finally achieved; in addition, the work of optimizing and configuring the medicine resources in the region and the like can be carried out by analyzing the use condition of the medicine of the chronic disease patient in the region; meanwhile, a vaccine management module is arranged, an electronic inoculation certificate can be established, and the inoculation types, the inoculation time and the inoculation places of residents are recorded; the production information, the information of a vaccination doctor, the information of a vaccinee and the like are collected, and the functions of whole-process retrospection of vaccination, safety management of vaccination and the like are realized; information such as the using quantity and the inoculation condition of various vaccines is brought in, and inoculation rate analysis and vaccine resource optimal allocation are carried out; the functions of statistical analysis of relevant vaccination information, vaccine safety management, immunity decision analysis and the like are realized;
the medical guidance module comprises a prescription guidance unit for giving exercise guidance prescriptions and diet guidance prescriptions according to corresponding chronic diseases/genetic diseases and an interactive communication unit for medical-patient communication, and is used for intervening common chronic diseases and family genetic diseases from four aspects of continuous monitoring, exercise, diet, health guidance and science popularization, controlling the development of the chronic diseases and the family genetic diseases, preventing complications of the chronic diseases and early warning and guiding potential family genetic diseases; through the doctor-patient communication consultation channel provided by the interactive communication unit, the user can carry out online consultation on the platform and also can carry out telephone, mail and short message consultation according to the consultation telephone and EMAIL provided by the interactive communication unit; corresponding theme activities such as health lectures, health education and the like can be arranged regularly to improve the health management awareness of residents;
the diagnosis module comprises an early warning unit for sending out health early warning according to the monitoring result of the health monitoring module and prompting the user to check or see a doctor, an online reservation unit for registering reservation physical examination and disease diagnosis reservation of individuals, a report inquiry unit for generating a physical examination and diagnosis detection report for the physical examiner to check and uploading the generated report to a personal health archive library, a re-diagnosis prompting unit for carrying out comparison analysis on the recent physical examination result and the diagnosis result, evaluating the physical examination result, predicting risk factors and evaluating the disease probability, a re-diagnosis prompting unit for giving out user health prompt according to the evaluation result of the health evaluating unit and sending re-examination information to the physical examiner needing to be re-examined, when the health monitoring module sends out health early warning, the user can be prompted to see a doctor and the personal physical examination or diagnosis registration can be realized through the online reservation unit, the user can see a doctor or check the health conveniently under line, and the time of the user is saved; when the medical examination or after the medical examination is finished, the generated medical examination and medical examination detection report can be directly uploaded to the personal health archive, so that the corresponding user data in the personal health archive can be updated, and subsequent health management and guidance are facilitated; meanwhile, the user can check the self physical examination and diagnosis detection report according to the report query unit; the health prediction evaluation is given by the health evaluation unit, and the re-diagnosis prompting is given by the re-diagnosis prompting unit, so that the health return visit is realized, and the health of residents is guaranteed.
Further, the user basic information parameters comprise user occupation, life and rest, eating habits, life hobbies and family genetic medical history collected by a questionnaire mode.
And the system also comprises a background expert knowledge database which is in communication connection with the chronic disease management module, the genetic disease management module and the prescription guidance unit, is used for providing etiology, pathology and nursing methods of the chronic diseases and the genetic diseases and storing diet and exercise guidance methods of the corresponding chronic diseases and the genetic diseases.
The system also comprises an external input module for inputting the special life history of the current day or modifying the basic information parameters of the user for the user.
Compared with the prior art, the resident health management medical big data platform provided by the invention is used for establishing a chronic disease management library such as a hypertension management library and a diabetes management library according to chronic disease classification; establishing a genetic disease management library according to genetic disease classification; the method has the advantages that the common high-incidence chronic diseases and genetic diseases are prevented and managed, the targeted danger warning is fed back to a health medical instruction module such as a family doctor and the like, regular health education, health promotion and health life style guidance are carried out, the health management participation degree of patients with chronic diseases is improved, the self-monitoring capability of the whole population is improved, and the purposes of reducing the incidence rate of the chronic diseases and the genetic diseases and delaying the development of the diseases are finally achieved; meanwhile, a vaccine management module is arranged, an electronic inoculation certificate can be established, and the inoculation types, the inoculation time and the inoculation places of residents are recorded; the production information, the information of a vaccination doctor, the information of a vaccinee and the like are collected, and the functions of whole-process retrospection of vaccination, safety management of vaccination and the like are realized; information such as the using quantity and the inoculation condition of various vaccines is brought in, and inoculation rate analysis and vaccine resource optimal allocation are carried out; the functions of statistical analysis of relevant vaccination information, vaccine safety management, immunity decision analysis and the like are realized.
Drawings
Fig. 1 is a block diagram showing the overall structure of embodiment 1 of the present invention.
Fig. 2 is a block diagram showing the structure of the health management system according to embodiment 1 of the present invention.
Fig. 3 is a block diagram showing the overall structure of embodiment 2 of the present invention.
Fig. 4 is a block diagram showing the overall structure of embodiment 3 of the present invention.
Detailed Description
Example 1:
the resident health management medical big data platform shown in fig. 1 and fig. 2 comprises a health monitoring module for acquiring vital sign data and exercise data of a user through a monitoring terminal; and a personal health archive base which is in communication connection with the monitoring module and is established according to the disease history of the user, the vital sign data and the movement data of the user and the basic information parameters of the user; the health management system is respectively in communication connection with the personal health archive and the health monitoring module and is used for managing the health of residents;
the health management system consists of a disease management library, a medical guide module and a diagnosis module;
the disease management library comprises a chronic disease management module for monitoring and preventing common chronic diseases, a genetic disease management module for screening, monitoring and early warning user family genetic diseases, and a vaccine management module for counting vaccination conditions; establishing a chronic disease management library such as a hypertension management library, a diabetes management library and the like according to the classification of the chronic diseases; establishing a genetic disease management library according to genetic disease classification; the method has the advantages that the common high-incidence chronic diseases and genetic diseases are prevented and managed, the targeted danger warning is fed back to a health medical instruction module such as a family doctor and the like, regular health education, health promotion and health life style guidance are carried out, the health management participation degree of patients with chronic diseases is improved, the self-monitoring capability of the whole population is improved, and the purposes of reducing the incidence rate of the chronic diseases and the genetic diseases and delaying the development of the diseases are finally achieved; in addition, the work of optimizing and configuring the medicine resources in the region and the like can be carried out by analyzing the use condition of the medicine of the chronic disease patient in the region; meanwhile, a vaccine management module is arranged, an electronic inoculation certificate can be established, and the inoculation types, the inoculation time and the inoculation places of residents are recorded; the production information, the information of a vaccination doctor, the information of a vaccinee and the like are collected, and the functions of whole-process retrospection of vaccination, safety management of vaccination and the like are realized; information such as the using quantity and the inoculation condition of various vaccines is brought in, and inoculation rate analysis and vaccine resource optimal allocation are carried out; the functions of statistical analysis of relevant vaccination information, vaccine safety management, immunity decision analysis and the like are realized;
the medical guidance module comprises a prescription guidance unit for giving exercise guidance prescriptions and diet guidance prescriptions according to corresponding chronic diseases/genetic diseases, and an interactive communication unit for doctor-patient communication; the method has the advantages that intervention is performed on common chronic diseases and familial hereditary diseases from four aspects of continuous monitoring, exercise, diet, health guidance and science popularization, development of the chronic diseases and the familial hereditary diseases is controlled, complications of the chronic diseases are prevented, and early warning and guidance are performed on potential familial hereditary diseases; through the doctor-patient communication consultation channel provided by the interactive communication unit, the user can carry out online consultation on the platform and also can carry out telephone, mail and short message consultation according to the consultation telephone and EMAIL provided by the interactive communication unit; corresponding theme activities such as health lectures, health education and the like can be arranged regularly to improve the health management awareness of residents;
the diagnosis module comprises an early warning unit for sending out health early warning according to the monitoring result of the health monitoring module and prompting a user to perform physical examination or diagnosis, an online reservation unit for registering reserved physical examination and disease diagnosis reservation by individuals, a report query unit for generating a physical examination and diagnosis detection report for a physical examiner to check and uploading the generated report to a personal health archive library, a health assessment unit for performing comparative analysis on the recent physical examination result and the diagnosis result, assessing the physical examination result, predicting risk factors and assessing the disease probability, and a re-diagnosis prompting unit for giving a user health prompt according to the assessment result of the health assessment unit and sending re-examination information to the physical examiner needing to perform re-examination; when the health monitoring module sends out a health early warning, the user can be prompted to see a doctor, and personal physical examination or registration of the doctor is realized through the online reservation unit, so that offline medical examination or physical examination is facilitated, and the time of the user is saved; when the medical examination or after the medical examination is finished, the generated medical examination and medical examination detection report can be directly uploaded to the personal health archive, so that the corresponding user data in the personal health archive can be updated, and subsequent health management and guidance are facilitated; meanwhile, the user can check the self physical examination and diagnosis detection report according to the report query unit; the health prediction evaluation is given by the health evaluation unit, and the re-diagnosis prompting is given by the re-diagnosis prompting unit, so that the health return visit is realized, and the health of residents is guaranteed.
The user basic information parameters comprise user occupation, life work and rest, eating habits, life hobbies and family genetic medical history collected by a questionnaire mode.
Example 2:
the resident health management medical big data platform shown in fig. 3 has a structure substantially the same as that of embodiment 1, and further comprises a background expert knowledge big database which is in communication connection with the chronic disease management module, the genetic disease management module and the prescription guidance unit, is used for providing etiology, pathology and nursing methods of chronic diseases and genetic diseases, and stores diet and exercise guidance methods of corresponding chronic diseases and genetic diseases.
Example 3:
the structure of the big data platform for resident health management and medical treatment as shown in fig. 4 is basically the same as that of embodiment 1, wherein the big data platform further comprises an external entry module for a user to input a special life history of the current day or modify basic information parameters of the user.
The above-described embodiments are merely preferred embodiments of the present invention, and all equivalent changes or modifications of the structures, features and principles described in the claims of the present invention are included in the scope of the present invention.
Claims (4)
1. The utility model provides a resident health management medical big data platform which characterized in that: the health monitoring system comprises a health monitoring module for acquiring vital sign data and motion data of a user through a monitoring terminal; and a personal health archive base which is in communication connection with the monitoring module and is established according to the disease history of the user, the vital sign data and the movement data of the user and the basic information parameters of the user; the health management system is respectively in communication connection with the personal health archive and the health monitoring module and is used for managing the health of residents;
the health management system consists of a disease management library, a medical guide module and a diagnosis module;
the disease management library comprises a chronic disease management module for monitoring and preventing common chronic diseases, a genetic disease management module for screening, monitoring and early warning user family genetic diseases, and a vaccine management module for counting vaccination conditions;
the medical guidance module comprises a prescription guidance unit for giving exercise guidance prescriptions and diet guidance prescriptions according to corresponding chronic diseases/genetic diseases, and an interactive communication unit for doctor-patient communication;
the diagnosis module comprises an early warning unit for sending out health early warning according to the monitoring result of the health monitoring module and prompting a user to perform physical examination or diagnosis, an on-line reservation unit for registering reservation physical examination and disease diagnosis reservation by individuals, a report query unit for generating a physical examination and diagnosis detection report for a physical examinee to check and uploading the generated report to a personal health archive library, a health assessment unit for performing comparative analysis on the recent physical examination result and the diagnosis result, assessing the physical examination result, predicting risk factors and assessing the disease probability, and a re-diagnosis prompting unit for giving a user health prompt according to the assessment result of the health assessment unit and sending re-examination information to the physical examinee needing to perform re-examination.
2. The resident health management medical big data platform according to claim 1, wherein: the user basic information parameters comprise user occupation, life work and rest, eating habits, life hobbies and family genetic medical history collected by a questionnaire mode.
3. The resident health management medical big data platform according to claim 1, wherein: the system also comprises a background expert knowledge database which is in communication connection with the chronic disease management module, the genetic disease management module and the prescription guidance unit and is used for providing etiology, pathology and nursing methods of the chronic diseases and the genetic diseases and storing diet and exercise guidance methods corresponding to the chronic diseases and the genetic diseases.
4. The resident health management medical big data platform according to claim 1, wherein: the system also comprises an external input module which is used for inputting the special life history of the current day or modifying the basic information parameters of the user for the user.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112309581A (en) * | 2020-11-03 | 2021-02-02 | 辽宁工程技术大学 | Private medical intelligent auxiliary method based on machine learning |
| CN112349433A (en) * | 2020-11-06 | 2021-02-09 | 江苏翼企云通信科技有限公司 | Data processing system and method based on cloud computing |
| CN112396748A (en) * | 2020-11-13 | 2021-02-23 | 苏州工业园区东诚智能网络技术有限公司 | Physical examination queuing processing method and device, electronic equipment and storage medium |
| DE202022101829U1 (en) | 2022-04-05 | 2022-06-15 | Sneha Sara Abraham | System for managing vaccination data using machine learning and big data analysis |
| CN114842936A (en) * | 2022-05-07 | 2022-08-02 | 四川大学华西医院 | Health management method and system |
| CN117253577A (en) * | 2023-11-17 | 2023-12-19 | 四川省大数据技术服务中心 | Multidimensional health data integrated processing system |
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| CN112309581A (en) * | 2020-11-03 | 2021-02-02 | 辽宁工程技术大学 | Private medical intelligent auxiliary method based on machine learning |
| CN112349433A (en) * | 2020-11-06 | 2021-02-09 | 江苏翼企云通信科技有限公司 | Data processing system and method based on cloud computing |
| CN112396748A (en) * | 2020-11-13 | 2021-02-23 | 苏州工业园区东诚智能网络技术有限公司 | Physical examination queuing processing method and device, electronic equipment and storage medium |
| DE202022101829U1 (en) | 2022-04-05 | 2022-06-15 | Sneha Sara Abraham | System for managing vaccination data using machine learning and big data analysis |
| CN114842936A (en) * | 2022-05-07 | 2022-08-02 | 四川大学华西医院 | Health management method and system |
| CN114842936B (en) * | 2022-05-07 | 2024-02-09 | 四川大学华西医院 | Health management method and system |
| CN117253577A (en) * | 2023-11-17 | 2023-12-19 | 四川省大数据技术服务中心 | Multidimensional health data integrated processing system |
| CN117253577B (en) * | 2023-11-17 | 2024-03-12 | 四川省大数据技术服务中心 | Multidimensional health data integrated processing system |
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