院内脓毒症风险管理系统设计与实现  

Design and Implementation of Nosocomial Sepsis Risk Management System

作　　者：陈珊黎 庞书丽 郑涛 王颖晶 丁粉华[1] 邵维君 贾红岩[1] 韩刚[1] 吴晓萍 CHEN Shanli;PANG Shuli;ZHENG Tao;WANG Yingjing;DING Fenhua;SHAO Weijun;JIA Hongyan;HAN Gang;WU Xiaoping(Renji Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200127,China)

机构地区：[1]上海交通大学医学院附属仁济医院,上海200127

出　　处：《医学信息学杂志》2022年第5期79-83,共5页Journal of Medical Informatics

基　　金：上海经信委课题项目“面向仁济医院医联体的专病临床科研智能辅助决策平台建设”(项目编号:201901007)。

摘　　要：介绍脓毒症防治现状及存在的问题,详细阐述应用人工智能技术构建院内脓毒症风险管理系统的方法,分析系统应用效果,指出该系统可实现患者住院期间脓毒症筛查指标、诊断指标的持续监测与及时预警。The paper introduces the current situation and existing problems of sepsis prevention and treatment,expounds the method of constructing nosocomial sepsis risk management system with Artificial Intelligence(AI) technology in detail,analyzes the application effect of the system,and points out that the system can realize the continuous monitoring and timely warning of the screening and diagnosis indicators of sepsis during hospitalization.

关 键 词：人工智能 脓毒症 Sepsis 3.0 早期诊断 早期识别 

分 类 号：R-058[医药卫生]