Regional Healthcare Risk Analysis and Assessment Method

Abstract

Abstract One of the main methods for conducting regional healthcare risk analysis and decision-making is to determine healthcare risks through the analysis of environmental, social, and other data. The existing research mainly focuses on the control and management of epidemics and disasters. Compared to post-outbreak control, research on the assessment and prediction of infectious disease risks is equally important for epidemic prevention and control. This article proposed a risk analysis and assessment method based on entropy and risk weight number. Firstly, the probability and content of regional healthcare risks based on the classical risk probability is proposed. Then, starting from the influencing factors of healthcare risks, analyze the correlation between various regional factors and the risk of malignant infectious diseases, and construct a risk assessment model and method based on information entropy theory and risk weights to achieve the assessment and prediction of regional infectious disease risks. This study is an extension of the technology of intelligent data analysis in the field of healthcare and has positive significance for the research and application of intelligent technology and theory.