Development of health management science

Health management is still a new thing for our country. The first registered health management company in China appeared in 1998, and Beijing Hua Yao Kangye is currently a leader in the industry. At present, there are about 200 such companies. Although it has a certain scale, on the whole, health management is in its infancy in China, and the main problems are as follows: there are two main development models of health management companies in China. One is to become a commercial entity, and the other is to serve as a platform for resource enjoyment. Whether there is a better development model remains to be further explored in practice.

Health management is a process of overall management of health risk factors of individuals or groups. Its purpose is to mobilize the enthusiasm of individuals, collectives and society, make effective use of limited resources and achieve the maximum health effect [1]. Health risk assessment is a key technical part in the process of health management, which can only be achieved through health management. It is the first step of chronic disease prevention, also known as risk prediction model. Based on a large number of personal health information collected, it analyzes and establishes the quantitative relationship between lifestyle, environment, heredity and other risk factors and health status, predicts the possibility of an individual suffering from a certain disease or dying from a certain disease in a certain period of time, and accordingly provides targeted control and intervention according to the needs of the crowd, thus helping the government, enterprises, insurance companies and individuals to achieve the maximum health effect at the lowest cost.

The most commonly used method of health risk assessment is multi-factor model method, which is based on multi-factor mathematical analysis, that is, the relationship model between disease risk and risk factors is obtained by using statistical probability theory, which can contain multiple risk factors at the same time, and the commonly used methods are multiple regression (logistic regression and Cox regression).