Conception on Public Health Surveillance System Based on Big Data in Health and Medical Care

Abstract

In recent years, public health events in varying degrees have occurred in different parts of China, these public health emergencies are characterized by volatility and complexity. To effectively respond to major challenges, we must establish a comprehensive public health surveillance system capable of efficiently collecting, analyzing, and processing data, while providing effective and timely information support. This paper focuses on how big data technologies can be used to achieve this goal. The theoretical basis is first introduced, including the definition, characteristics and application methods of big data; then the existing public health surveillance system is analyzed and summarized, its shortcomings are pointed out; finally, a design scheme for a public health monitoring system based on health care big data is proposed, detailing the design ideas, functional modules and database structure of the scheme. The scheme can help the authorities to monitor and manage information in real time so as to provide the basis for scientific-decision making. Through testing and verification, the scheme is found to have good performance and can meet the needs of large-scale public health surveillance. The findings of this project hold significant relevance in advancing the development of the public health surveillance system in China.