CN113314223A - Prevention service management system for chronic non-infectious diseases - Google Patents
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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- G—PHYSICS
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- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a chronic non-infectious disease prevention service management system which comprises a platform end, a user end and a database, wherein the user end comprises an individual user end and a non-individual user end, the individual user end is an APP, and the non-individual user end is an internet website. The invention has the advantages that: for individual users, the health risk management system can be used as an assistant for health risk management of the individual users, a risk factor list can be obtained before a doctor visits, effective communication with the doctor in short-time inquiry is enhanced, and the health data of the individual users can be stored, managed and shared for compensation. For scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like, etiology and other biomedical research can be carried out through the database, customers can be better known, service quality is improved, and distribution of various health risk factors in people can be monitored in real time.
Description
Technical Field
The invention relates to the technical field of health management systems, in particular to a chronic non-infectious disease prevention service management system.
Background
Chronic non-infectious diseases such as cancer, cardiovascular diseases, diabetes and the like become the leading causes of death of people in China, and account for more than 70 percent of the total disease burden. The worldwide spread of new coronavirus epidemics in 2020, as late as 21/3/2021, has led to over 2500 million confirmed cases and the loss of over 270 million people. The vast majority of severe patients and deaths have a history of chronic non-infectious disease. Therefore, the strengthening of the first-level prevention of the chronic non-infectious diseases has important significance for the construction of public health in China, the burden of the diseases of the crowd can be reduced, the expected life can be prolonged, the life quality can be improved, the resistance of the crowd to the sudden infectious diseases can be improved, and the most effective use of medical resources can be guaranteed.
However, how to effectively prevent chronic non-infectious diseases while achieving the great goal of whole population life-cycle health management is a great challenge we are currently facing. Although scientific research suggests that about 50% of cancers and 80% of cardiovascular diseases can be prevented by changing lifestyle and reducing exposure to environmental pollutants, the current cancer and other chronic disease prevention and control strategies remain at the population level due to incomplete knowledge of the relationship between complex human exposure and chronic diseases and the lack of tools for assessing the risk of different chronic diseases in individuals, and individualized and precise prevention is difficult to implement.
In the aspect of collecting and analyzing health-related risk factors and health monitoring, the APP is tracked to various existing sports and diets, software and hardware such as a heart rate measuring bracelet and intelligent tracking equipment are adopted, the collected data type is single, and no disease-related environmental risk factors such as occupational exposure, air pollution and living environment exist. Therefore, no tool for effectively collecting and analyzing the exposure factors of the chronic non-infectious diseases exists at present. Moreover, the related health data lack system integration, are difficult to be used for individualized chronic disease risk assessment, and further provide an effective individualized health intervention scheme to guide health management.
The comprehensive promotion healthy Chinese construction and the development of the healthy industry are provided for implementing fourteen-five plans and a prospect goal of 2035 years, the existing challenge of the prevention and control of chronic diseases in China is solved, an innovative scheme using healthy big data is urgently needed, and the scientific research at the world front can be continuously converted into a reliable and credible common people personal health management platform. By quantifying the chronic disease risk and comprehensively analyzing the risk and the protective factors, a scientific and effective individual behavior intervention strategy is provided, so that the disease risk of the chronic disease is reduced, and the purpose of preventing the disease is achieved. The method can be used for the sustainable development of disease prevention management in China.
Disclosure of Invention
The invention aims to solve the technical problems, provides a primary prevention individualized health service management platform for cancers, cardiovascular diseases and diabetes, has strong practical value for prevention, intervention and management of the cancers, cardiovascular diseases and diabetes of the whole population, and powerfully strengthens and perfects the existing basic public health service work.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a chronic non-infectious disease preventive service management system comprises a platform end, user ends and a database, wherein the user ends comprise individual user ends and non-individual user ends, the individual user ends are APP, the non-individual user ends are internet websites, the individual users and the non-individual users register login accounts through the APP and the internet websites, the database is various collected research inventions and personal data, a prediction program and a push program are arranged in the chronic non-infectious disease preventive service management system, the prediction program analyzes database information through logic operation according to the database information and provides individual preventive and intervention strategies for the individual users, and a monitoring tracking tool is provided for a plurality of disease risk factors.
As an improvement, the prediction program is a program for predicting the risk of 21 chronic non-infectious diseases of an individual, the prediction program is provided with a prediction model, the construction of the prediction model is completed based on an optimized statistical method and combined with the latest scientific research result, and the 21 chronic diseases comprise lung cancer, breast cancer, colorectal cancer, esophageal cancer, gastric cancer, liver cancer, pancreatic cancer, kidney cancer, bladder cancer, leukemia, non-Hodgkin's lymphoma, brain tumor, head and neck cancer, thyroid cancer, endometrial cancer, ovarian cancer, cervical cancer, prostate cancer, cardiovascular diseases and diabetes.
As an improvement, the personal data is a personal health management file, the individual user records all information possibly related to health through an individual user side and updates the information regularly, the information is collected through 19 questionnaire packages, and the questionnaire packages comprise basic information, smoking, drinking, exercise, sleep, hobbies, stress assessment, depression assessment, anxiety assessment, eating habits, eating frequency, health products, caffeine, family history, oral hygiene, disease history, birth history, living environment and occupation.
As an improvement, the database comprises a health risk factor standard database, the health risk factor standard database comprises 19 standard data blocks, the standard data blocks are managed by a platform for personal data assets, and the individual users can share data for a fee.
A chronic non-infectious disease preventive service management system, the use method of the chronic non-infectious disease preventive service management system is as follows:
(1) individual users or non-individual users register and log in through a system APP or a system website;
(2) after logging in, an individual user fills a questionnaire with 45-60 questions (the length of the questions is different according to the sex and age of the user);
(3) after filling, the system can present risk assessment of 21 chronic diseases, the red light represents high risk, the yellow light is medium risk, and the green light is low risk, and an individual user can click each disease to see a specific risk value and display the multiple relation of the risk to the common population;
(4) filling 19 questionnaire bags for analyzing specific risk factors and protection factors, wherein the questionnaire bags can be filled in batches, each questionnaire bag is completed, an analysis summary and a corresponding intervention suggestion of the questionnaire bag appear, and an individual user can open a predicted specific disease type to view specific factors and improvement suggestions which cause the disease risk to rise;
(5) the individual user receives the system push every three to six months, and prompts the user to update the questionnaire package and reevaluate the risk of the user;
(6) the individual user side comprises five managers comprising smoking cessation management, stature management, exercise management, blood pressure management and blood sugar management, and also comprises seven health promotion tricks comprising smoking cessation tricks, anxiety relieving tricks, decompression tricks, depression resisting tricks, physical activity tricks, night shift health care measures and indoor air quality improvement;
(7) and the platform end arranges, calculates and edits the data uploaded by the APP to form a scientific database for analysis, the risk of 21 diseases is predicted by using a prediction model, risk factors and protection factors of individual users are found out by using logic operation analysis and are pushed to the users, the data of each user is divided into quality grades, and the users can open the research institutions of scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like for compensation.
Compared with the prior art, the invention has the advantages that: for individual users, the invention can be used as an assistant for health risk management, for example, for disease risk assessment, improvement of bad life behavior habits according to recommendations, reduction of individual preventive and controllable pollutant exposure, long-term monitoring and reduction of individual risk factors. Secondly, the user can comprehensively comb the risk factors of the user before the visit to obtain a risk factor list, so that the effective communication between the user and a doctor in a short-time inquiry is enhanced. And thirdly, by means of a block chain technology, the desensitized health data of the user is stored, managed and shared for compensation on the premise of ensuring data safety. For non-individual users, including scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like, doctors or scientific research personnel can conduct etiology and other biomedical research through the wholepopulation life-cycle health database constructed by the invention, and medical enterprises such as hospitals and insurance companies and the like can better know own clients (such as patients or insureds) by utilizing the database constructed by the invention, improve the service quality, or design products favored by users, and the government policy research institutions can monitor the distribution of various health risk factors in the population in real time through the invention, make corresponding policy and regulation, reasonably configure medical resources and the like.
Drawings
FIG. 1 is a functional relationship diagram of a chronic non-infectious disease preventive service management system of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings.
With reference to fig. 1, a chronic non-infectious disease prevention service management system includes a platform, a client and a database, the user side comprises an individual user side and a non-individual user side, the individual user side is APP, the non-individual user side is an internet website, the individual user and the non-individual user register login accounts through the APP and the internet website, the database is various research inventions and personal data collected, the chronic non-infectious disease prevention service management system is provided with a prediction program and a push program, the prediction program analyzes the database information through logic operation according to the database information, provides individual prevention and intervention strategies for individual users, and provides a monitoring and tracking tool for a plurality of disease risk factors.
The prediction program is a program for predicting the risk of 21 chronic non-infectious diseases of an individual, the prediction program is provided with a prediction model, the construction of the prediction model is completed based on an optimized statistical method and by combining the latest scientific research results, and the 21 chronic diseases comprise lung cancer, breast cancer, colorectal cancer, esophageal cancer, gastric cancer, liver cancer, pancreatic cancer, kidney cancer, bladder cancer, leukemia, non-Hodgkin lymphoma, brain tumor, head and neck cancer, thyroid cancer, endometrial cancer, ovarian cancer, cervical cancer, prostate cancer, cardiovascular diseases and diabetes.
The personal data be individual health management archives, individual user record all probably with health relevant information and regularly update formation through individual user, the information collect through 19 questionnaire packages, the questionnaire package include basic information, smoking, drinking, motion, sleep, hobby, stress assessment, depression assessment, anxiety assessment, eating habits, frequency of eating and drinking, health products, caffeine, family history, oral hygiene, disease history, birth history, living environment and occupation.
The database comprises a health risk factor standard database, the health risk factor standard database comprises 19 standard data blocks, the standard data blocks are managed by a platform for personal data assets, and the individual users can share data for compensation.
A chronic non-infectious disease preventive service management system, the use method of the chronic non-infectious disease preventive service management system is as follows:
(1) individual users or non-individual users register and log in through a system APP or a system website;
(2) after logging in, an individual user fills a questionnaire with 45-60 questions (the length of the questions is different according to the sex and age of the user);
(3) after filling, the system can present risk assessment of 21 chronic diseases, the red light represents high risk, the yellow light is medium risk, and the green light is low risk, and an individual user can click each disease to see a specific risk value and display the multiple relation of the risk to the common population;
(4) filling 19 questionnaire bags for analyzing specific risk factors and protection factors, wherein the questionnaire bags can be filled in batches, each questionnaire bag is completed, an analysis summary and a corresponding intervention suggestion of the questionnaire bag appear, and an individual user can open a predicted specific disease type to view specific factors and improvement suggestions which cause the disease risk to rise;
(5) the individual user receives the system push every three to six months, and prompts the user to update the questionnaire package and reevaluate the risk of the user;
(6) the individual user side comprises five managers comprising smoking cessation management, stature management, exercise management, blood pressure management and blood sugar management, and also comprises seven health promotion tricks comprising smoking cessation tricks, anxiety relieving tricks, decompression tricks, depression resisting tricks, physical activity tricks, night shift health care measures and indoor air quality improvement;
(7) and the platform end arranges, calculates and edits the data uploaded by the APP to form a scientific database for analysis, the risk of 21 diseases is predicted by using a prediction model, risk factors and protection factors of individual users are found out by using logic operation analysis and are pushed to the users, the data of each user is divided into quality grades, and the users can open the research institutions of scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like for compensation.
The working principle of the invention is as follows: the system displays the illness risk of an individual user to the individual user through quantitative method through comparative analysis of the personal data and the existing scientific data, and pushes improvement preventive measures with scientific basis according to the corresponding illness risk, so as to prevent the occurrence of diseases, and the user can also provide the related data for scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like for compensation, thereby improving the social service level.
The present invention and its embodiments have been described above, and the description is not intended to be limiting, and the drawings are only one embodiment of the present invention, and the actual structure is not limited thereto. In summary, those skilled in the art should appreciate that they can readily use the disclosed conception and specific embodiments as a basis for designing or modifying other structures for carrying out the same purposes of the present invention without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (5)
1. A preventive services management system for chronic non-infectious diseases characterized by: the system comprises a platform end, a user end and a database, wherein the user end comprises an individual user end and a non-individual user end, the individual user end is an APP, the non-individual user end is an internet website, the individual user and the non-individual user register login accounts through the APP and the internet website, the database is various collected research inventions and personal data, a prediction program and a push program are arranged in the system for managing the chronic non-infectious disease prevention service, the prediction program analyzes database information through logic operation according to the database information, provides individual prevention and intervention strategies for the individual user, and provides a monitoring and tracking tool for a plurality of disease risk factors.
2. A chronic non-infectious disease preventive service management system according to claim 1, characterized in that: the prediction program is a program for predicting the risk of 21 chronic non-infectious diseases of an individual, the prediction program is provided with a prediction model, the construction of the prediction model is completed based on an optimized statistical method and by combining the latest scientific research results, and the 21 chronic diseases comprise lung cancer, breast cancer, colorectal cancer, esophageal cancer, gastric cancer, liver cancer, pancreatic cancer, kidney cancer, bladder cancer, leukemia, non-Hodgkin lymphoma, brain tumor, head and neck cancer, thyroid cancer, endometrial cancer, ovarian cancer, cervical cancer, prostate cancer, cardiovascular diseases and diabetes.
3. A chronic non-infectious disease preventive service management system according to claim 1, characterized in that: the personal data be individual health management archives, individual user record all probably with health relevant information and regularly update formation through individual user, the information collect through 19 questionnaire packages, the questionnaire package include basic information, smoking, drinking, motion, sleep, hobby, stress assessment, depression assessment, anxiety assessment, eating habits, frequency of eating and drinking, health products, caffeine, family history, oral hygiene, disease history, birth history, living environment and occupation.
4. A chronic non-infectious disease preventive service management system according to claim 1, characterized in that: the database comprises a health risk factor standard database, the health risk factor standard database comprises 19 standard data blocks, the standard data blocks are managed by a platform for personal data assets, and the individual users can share data for compensation.
5. A chronic non-infectious disease preventive service management system according to claim 1, characterized in that: the use method of the chronic non-infectious disease prevention service management system comprises the following steps:
(1) individual users or non-individual users register and log in through a system APP or a system website;
(2) after logging in, an individual user fills a questionnaire with 45-60 questions (the length of the questions is different according to the sex and age of the user);
(3) after filling, the system can present risk assessment of 21 chronic diseases, the red light represents high risk, the yellow light is medium risk, and the green light is low risk, and an individual user can click each disease to see a specific risk value and display the multiple relation of the risk to the common population;
(4) filling 19 questionnaire bags for analyzing specific risk factors and protection factors, wherein the questionnaire bags can be filled in batches, each questionnaire bag is completed, an analysis summary and a corresponding intervention suggestion of the questionnaire bag appear, and an individual user can open a predicted specific disease type to view specific factors and improvement suggestions which cause the disease risk to rise;
(5) the individual user receives the system push every three to six months, and prompts the user to update the questionnaire package and reevaluate the risk of the user;
(6) the individual user side comprises five managers comprising smoking cessation management, stature management, exercise management, blood pressure management and blood sugar management, and also comprises seven health promotion tricks comprising smoking cessation tricks, anxiety relieving tricks, decompression tricks, depression resisting tricks, physical activity tricks, night shift health care measures and indoor air quality improvement;
(7) and the platform end arranges, calculates and edits the data uploaded by the APP to form a scientific database for analysis, the risk of 21 diseases is predicted by using a prediction model, risk factors and protection factors of individual users are found out by using logic operation analysis and are pushed to the users, the data of each user is divided into quality grades, and the users can open the research institutions of scientific research institutions, hospitals, pharmaceutical factories, insurance companies, government policy research institutions and the like for compensation.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114758789A (en) * | 2022-05-06 | 2022-07-15 | 四川大学华西医院 | Intelligent information management system, control method, equipment and terminal |
| CN117912708A (en) * | 2024-03-14 | 2024-04-19 | 苏州市相城区疾病预防控制中心 | Method, system and storage medium for preventing and controlling chronic non-infectious diseases in public health |
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| 王维民;: "综合性医院启动慢性非传染性疾病管理服务的探讨", 中国医院管理, no. 06, 5 June 2011 (2011-06-05) * |
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| CN114758789A (en) * | 2022-05-06 | 2022-07-15 | 四川大学华西医院 | Intelligent information management system, control method, equipment and terminal |
| CN117912708A (en) * | 2024-03-14 | 2024-04-19 | 苏州市相城区疾病预防控制中心 | Method, system and storage medium for preventing and controlling chronic non-infectious diseases in public health |
| CN117912708B (en) * | 2024-03-14 | 2024-05-17 | 苏州市相城区疾病预防控制中心 | Method, system and storage medium for preventing and controlling chronic non-infectious diseases in public health |
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