基于语音的信息和文档系统与重症监护中的既定系统的标准化比较:交叉研究
Arne Peine1,2, Maike Gronholz2, Katharina Seidl-Rathkopf2
1Department of Intensive Care Medicine and Intermediate Care, University Hospital RWTH Aachen, Aachen, Germany.
JMIR medical informatics
|November 28, 2023
概括
基于人工智能 (AI) 的语音信息和文档系统 (VIDS) 显著减少了重症监护室 (ICU) 的错误和文档时间. 这些人工智能系统通过减少医疗专业人员的工作量来提高效率和患者护理.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床工作流程优化 临床工作流程优化
背景情况:
- 重症监护病房 (ICU) 面临着来自患者监测的数据过载的挑战,影响临床医生直接照顾患者的时间.
- 现有的患者数据管理系统 (PDMS) 可以增加文档负担,尽管努力管理数据.
- 需要标准化指标来比较ICU数据管理系统.
研究的目的:
- 为了比较传统的基于纸张的文档,PDMS和基于AI的语音信息和文档系统 (VIDS).
- 根据性能 (时间),准确性,心理工作量和ICU环境中的用户体验来评估这些系统.
主要方法:
- 一项交叉研究涉及60名经验丰富的ICU医疗专业人员.
- 在6个标准化的ICU任务中比较纸张,PDMS和VIDS.
- 评估任务完成时间,错误率,心理工作量和用户满意度.
主要成果:
- 在速度和准确性方面,VIDS在PDMS和纸质文档方面表现出了统计学上显著的优势.
- 使用VIDS,任务完成速度明显更快 (P<.001),并且错误较少 (PDMS的P=.03,纸质的P<.001).
- 虽然心理工作负载在VIDS和PDMS之间没有显著差异 (P=.06),但用户的感知偏好VIDS (P<.001).
结论:
- 基于人工智能的VIDS有效地减少了ICU设置中的错误率和文档时间.
- 视频诊断系统有潜力减轻临床医生的工作量,增强基于证据和安全的患者护理.
- 这项研究强调了将人工智能整合到临床工作流程中的好处,以改善医疗保健服务.
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