人工智能工具的应用和临床文档负担:系统审查和元分析
Jungang Zhao1,2, Hanxiang Liu1,2, Yaolong Chen3,4,5,6
1Department of Pediatric Research Institute, National Clinical Research Center for Children and Adolescents' Health and Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, Chongqing Key Laboratory of Child Rare Diseases in Infection and Immunity, Children's Hospital of Chongqing Medical University, Chongqing, China.
人工智能 (AI) 工具适度减少临床医生的文档工作量和倦怠. 人工智能笔记生成也减少了文档制作时间,笔记质量与手工方法相比.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 临床文档 临床文档
背景情况:
- 临床医师的倦怠是全球的一个重大问题,主要是由沉重的临床文档工作负载推动的.
- 当前的文档化实践对医疗保健专业人员来说是耗时且认知要求高的.
- 人工智能 (AI) 提供了潜在的解决方案,但它对文档负担的定量影响需要系统评估.
研究的目的:
- 系统地审查和元分析人工智能工具对临床文档负担的定量影响.
- 评估人工智能对临床医生的工作量,倦怠和记录时间的影响.
- 评估人工智能生成的临床笔记的质量.
主要方法:
- 按照PRISMA的指导方针进行了一次系统性审查和元分析 (PROSPERO:CRD420250653291).
- 包括的研究集中在前线卫生专业人员使用人工智能进行临床笔记创建,而不是通常的做法.
- 主要结果包括文档负担,工作量,倦怠和时间;元分析使用随机效应模型 (SMD).
主要成果:
- 对14项研究的综合分析显示,文档工作量和倦怠程度有所降低 (SMD = -0.71).
- 人工智能应用显著减少了审查和编辑草稿的文档时间 (SMD = -0.72).
- 人工智能生成的笔记的质量与临床医生准备的笔记相当.
结论:
- 人工智能技术在减轻医疗保健专业人员临床文档负担方面显示出重大前景.
- 有效实施需要严格的质量控制和持续评估,以确保患者护理的质量.
- 需要进一步的研究来优化AI整合到临床工作流程中.
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