Design and implementation of monitoring and early warning system for emerging infectious diseases based on real world data of medical whole cycle
YUAN Fang1 REN Hailing1 MA Hongru2 ZHAO Meng2 LIAO Cong2 LI Zhouyi2 SONG Fei3
1.Department of Information Management, the First People’s Hospital of Yinchuan, Ningxia Hui Autonomous Region, Yinchuan 750001, China; 2.College of Clinical Medicine, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan 750004, China; 3.College of Medical Information and Engineering, Ningxia Medical University, Ningxia Hui Autonomous Region, Yinchuan 750004, China
Abstract:As a passive monitoring system, most of the infectious disease monitoring systems are based on the medical record information after diagnosis, and lack of early warning of new infectious diseases, a monitoring and early warning system for emerging infectious diseases based on the clinical real world data of the whole medical cycle is built. Based on the intelligent system establish by the hospital before, during, and after diagnosis, collect the clinical real world data of the whole medical cycle; combined with Bayesian network and W&D algorithm, the early warning model of infectious disease is constructed, and the knowledge map of infectious disease is built. Establish silent monitoring early warning and active sniffing early warning based on the intelligent diagnosis model of infectious diseases and confirm with experts; establish a comprehensive analysis and early warning center. The results show that the system can realize the monitoring and early warning of emerging infectious diseases from the two perspectives of silent monitoring and active sniffing, which is of great significance for improving the efficiency and effect of epidemic prevention and control, and making the prevention and control threshold move forward.
袁方1 任海玲1 马鸿儒2 赵梦2 廖聪2 李洲谊2 宋菲3. 基于医疗全周期临床真实世界数据的新发传染病监测预警系统设计与实现[J]. 中国医药导报, 2023, 20(30): 189-193.
YUAN Fang1 REN Hailing1 MA Hongru2 ZHAO Meng2 LIAO Cong2 LI Zhouyi2 SONG Fei3. Design and implementation of monitoring and early warning system for emerging infectious diseases based on real world data of medical whole cycle. 中国医药导报, 2023, 20(30): 189-193.
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