从其电子健康记录中诊断一个拥挤的急诊室
Luca Marzano1, Adam S Darwich2, Raghothama Jayanth2
1Department of Biomedical Engineering and Health Systems, KTH Royal Institute of Technology, Stockholm, Sweden. lmarzano@kth.se.
Scientific reports
|April 30, 2024
概括
紧急部门的过度拥挤源于非紧急访问和入院延误. 对患者流量数据的全系统分析确定了改善紧急护理的关键问题和解决方案.
科学领域:
- 医疗保健管理的管理
- 公共卫生 公共卫生
- 临床操作 临床操作
背景情况:
- 紧急部门 (ED) 过度拥挤是一个持续的全球挑战.
- 现有的数据分析往往缺乏现实世界的临床视角和对医疗保健系统的整体观点.
- 了解患者流动动态对于解决ED过度拥挤至关重要.
研究的目的:
- 开发和应用ED生产数据的分析管道,以确定过度拥挤的根本原因.
- 让临床专家参与数据分析,以全面了解患者流动.
- 通过全系统的视角,识别系统性问题并提出对ED过度拥挤的解决方案.
主要方法:
- 开发一个整合临床专业知识的分析管道.
- 对来自乌普萨拉大学医院ED的49938名患者的一年生产数据的分析.
- 检查患者流动从ED入院到出院或其他结果.
主要成果:
- 确定了大量的非紧急访问,非特定的诊断作为内部ED问题.
- 由于成像评估和床位短缺而延迟的入院决策是主要的内部瓶.
- 老年,精神病和未确定的诊断患者的频繁重访造成了显著的外部压力.
结论:
- 在临床专家参与下,对ED患者流量数据的分析可以揭示系统性拥挤问题.
- 通过考虑流入和流出效应,理解和解决ED过度拥挤的整体系统视角至关重要.
- 开发的管道为识别可行的解决方案提供了一个框架,以提高ED效率和患者护理.
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