Chronic disease prevention and control mode based on the national big data platform for medical and healthcare management
10.3760/cma.j.issn.1673-4181.2017.06.001
- VernacularTitle:基于国家卫生与健康管理大数据平台的慢病防控模式
- Author:
Yingxin LI
1
;
He HUANG
Author Information
1. 中国医学科学院北京协和医学院生物医学工程研究所
- Keywords:
Healthcare big data;
Chronic diseases prevention and control;
Health management;
Health intervention
- From:
International Journal of Biomedical Engineering
2017;40(6):403-409
- CountryChina
- Language:Chinese
-
Abstract:
Non-communicable chronic diseases are important public health problems. Most chronic diseases can be avoided through preventive care and effectively controlled through early detection, and the therapeutic effect can be improved by active communication. The existing chronic disease management is based on public health management which cannot meet the needs of prevention and control of chronic disease in China. On the basis of healthcare data collection and monitoring on chronic disease patients, high risk population of chronic diseases and healthy individuals, a new chronic disease management mode can be achieved using data mining, cloud computing and other technologies. In this mode, the model of chronic disease prediction and analysis is established, and leading to risk factors for chronic disease is positioned. The healthy people can receive guidance on health management, the high-risk groups can get health risk assessment and early warning so as to guide their effective intervention, and the chronic disease patients can take personalized treatment and prognosis tracking by using this model. In this paper, the meaning, problems and methods of chronic disease management based on the big data platform for medical and healthcare management were introduced and analyzed.
