一个基于知识的传染病监测和决策支持系统的构建和有效性评估
Mengying Wang1, Mo Jia1, Zhenhao Wei2
1Information Management and Big Data Center, Peking University Third Hospital, Beijing, China.
Scientific reports
|August 14, 2023
概括
一个新的基于知识的传染病监测系统显著改善了使用真实医疗记录的检测. 该系统减少了超过4%的遗漏病例,提高了医院传染病管理.
科学领域:
- 医疗信息学 医疗信息学
- 公共卫生监督 公共卫生监督
- 临床决策支持 临床决策支持
背景情况:
- 医院需要主动检测传染病.
- 现有系统可能缺乏实时决策支持.
- 将知识规则与电子健康记录相结合至关重要.
研究的目的:
- 开发和评估基于知识的传染病监测和决策支持系统.
- 评估系统在改善早期检测和减少遗漏病例方面的有效性.
- 分析警报表现和对临床工作流程的影响.
主要方法:
- 建立了一个基于知识的系统,使用医疗记录和诊断指南.
- 集成系统与电子病历 (EMR) 进行实时警报.
- 使用中断时间序列分析来评估系统的有效性.
- 分析了假阳性率,规则准确性,警报有效性和错过病例率.
主要成果:
- 该系统分析了超过440万条记录,产生了12027个警报,临床有效率为98.43%.
- 警报使遗漏病例率平均降低了4.4037%.
- 89.26%的病例在发出警报后5分钟内得到确认,报告时间减少.
结论:
- 基于知识的系统有效地加强了传染病监测和决策.
- 该系统提高了临床工作流程的效率,并减少了报告不足.
- 这种方法提供了一种可靠的方法,用于在医院主动传染病管理.
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