在EHR中对患者和卫生工作者信息的图形理论可视化
Muhammad Zia Ul Haq1, Andrew Hornback2, Arash Harzand3
1Noncommunicable Diseases and Mental Health Department, World Health Organization Regional Office for the Eastern Mediterranean, Cairo, Egypt.
Frontiers in artificial intelligence
|December 18, 2024
概括
电子健康记录 (EHR) 增加了沟通,但也增加了临床医生的负担. 埃默里医疗保健大学对电子病历信息的图形理论分析显示,大量信息影响了卫生工作者,特别是护士和辅助人员.
科学领域:
- 医疗信息学 医疗信息学
- 网络科学 网络科学
- 医疗保健管理的管理
背景情况:
- 电子健康记录 (EHR) 已经改善了医疗保健的沟通.
- 然而,EHR信息的大量和复杂性增加了卫生工作者的认知负担,可能会影响护理提供,并导致倦怠.
研究的目的:
- 分析EHR信息对卫生工作者的负担.
- 使用图形理论可视化患者-卫生工作者沟通模式.
主要方法:
- 分析了来自Emory Healthcare的76,694次EHR消息对话 (144,369条消息).
- 量化每个卫生工作者类型的信息负担.
- 图形理论的应用来绘制通信流和中心性的地图.
主要成果:
- 护士/CNA/MA处理的平均信息量最高 (350),其次是NPP (241) 和医生 (166).
- 平均谈话涉及10.51次互动.
- 支持人员和护士/CNA/MA在信息发送和接收中发挥了关键作用,表明他们在信息传播中的中心地位.
结论:
- 图形理论是一种可行的方法,用于分析EHR系统中的患者-卫生工作者沟通动态.
- 该研究强调了医疗保健专业人员的大量信息负担,强调了优化EHR沟通策略的必要性.
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