摘要
针对传染病监测系统绝大多数是针对诊断后的病历信息进行监测,是一种被动的监测系统,缺乏对新发传染病的预警问题搭建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。基于医院已建立的诊前、诊中、诊后智能系统,采集医疗全周期临床真实世界数据;结合贝叶斯网络和W&D算法构建传染病预警模型,搭建传染病知识图谱;基于传染病智能诊断模型与专家确认,建立静默监控预警和主动嗅探预警;建立综合分析预警中心。结果显示。该系统能够实现对新发传染病从静默监控及主动嗅探两个角度进行监测预警,对于提高传染病防控的效率和效果,使防控关口前移,具有重要意义。
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.
作者
袁方
任海玲
马鸿儒
赵梦
廖聪
李洲谊
宋菲
YUAN Fang;REN Hailing;MA Hongru;ZHAO Meng;LIAO Cong;LI Zhouyi;SONG Fei(Department of Information Management,the First People’s Hospital of Yinchuan,Ningxia Hui Autonomous Region,Yinchuan750001,China;College of Clinical Medicine,Ningxia Medical University,Ningxia Hui Autonomous Region,Yinchuan750004,China;College of Medical Information and Engineering,Ningxia Medical University,Ningxia Hui Autonomous Region,Yinchuan750004,China)
出处
《中国医药导报》
CAS
2023年第30期189-193,共5页
China Medical Herald
基金
宁夏回族自治区自然科学基金一般项目(2022AAC03738)
宁夏回族自治区重点研发计划项目(2022CMG02022)
宁夏医科大学一般项目(XM2021086)。
关键词
传染病
监测预警
信息系统
医疗数据
临床真实世界数据
Infectious disease
Monitoring and early warning
Information system
Medical data
Clinical real world data
