Medical insurance model based on the national big data platform for medical and healthcare management
10.3760/cma.j.issn.1673-4181.2019.04.001
- VernacularTitle:基于国家卫生与健康管理大数据平台的医疗保险模式
- 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:
Health care big data;
Health system reform;
Medical insurance
- From:
International Journal of Biomedical Engineering
2019;42(4):281-287
- CountryChina
- Language:Chinese
-
Abstract:
The fundamental goal of China's medical insurance is to build a multi-level social security system covering the whole people, urban and rural planning, clear rights and responsibilities, moderate protection, and sustainable development. It is required to unify the medical insurance system, achieve fairness in medical insurance, improve the degree of protection, and increase the protection project, so as to effectively meet the needs of the basic health care services of the national diversification and to comprehensively improve the national health level. It is help to reduce the incidence of diseases, improve the quality of life, reduce the expenditure on medical expenses, and regulate the health habits of the people by emphasizing the importance of active prevention in the medical insurance sector. That is consistent with the ultimate goal of the health system reform. Active health insurance based on the national big data platform for medical and healthcare management can implement effective health interventions through various medical and economic means, helping to block risk factors before disease formation, thereby extending the individual health cycle and achieving the purpose of maintaining health. It can be foreseen that with the implementation of active medical insurance, the awareness rate of major chronic diseases will increase, and theincidence of major chronic diseases and the number of patients will gradually decrease. Therefore, the economic burden of the national medical and health system will gradually be reduced, so as to meet the growing needs of people for health care.