Research on the System of Blockchain Data Sharing and Early-warning Decision for Public Health Emergency

The key of early prevention and control of infectious diseases is to use the early warning technology and system to monitor the abnormal occurrence and trend of infectious diseases. Based on the hospital data, this paper analyzes the patient demographics, syndromic features, and other sensitive medical characteristics, proposes an infectious disease risk warning algorithm based on dynamic adaptive modeling of event evolution, and constructs an infectious disease risk early warning and data sharing system based on blockchain technology. The proposed system realizes the safe storage and sharing of data throuth the blockchain technology, and combines smart contracts and federal learning to realize distributed risk warning and consensus decision making. The experiments demonstrate that the proposed risk warning model can improve infectious disease risk warning and fusion decision making by taking into account the requirements of warning accuracy and timeliness while protecting patient privacy.