评估人工智能书写人员用于临床文档
Jordan M Alpert1, Robert Saper2, Eric Boose3
1Cleveland Clinic, Center for Value-Based Care Research, Cleveland, OH, USA.
Digital health
|November 24, 2025
概括
人工智能 (AI) 写字工具显示,通过减少打字时间来减少医生的工作负担是有前途的. 然而,为了广泛采用和有效打击倦怠,必须解决处理复杂案件的整合挑战和局限性.
科学领域:
- 医疗信息学 医疗信息学
- 临床工作流的优化 临床工作流优化
- 医疗保健中的人工智能
背景情况:
- 医生倦怠是一个重大问题,经常因在电子健康记录 (EHR) 文档上花费大量时间而加剧.
- 基于人工智能的环境倾听技术为自动化临床写字任务提供了潜在的解决方案.
- 减少文件处理时间可以缓解倦怠,并改善临床医生的工作与生活平衡.
研究的目的:
- 评估人工智能书写工具对初级保健医生的习惯的影响.
- 评估工具实施后的倦怠,精神需求和EHR时间感知的变化.
- 识别促进者和障碍者,以采用人工智能写字技术.
主要方法:
- 十名初级保健医生参与了这项研究,这些初级保健医生有很高的EHR工作时间.
- 基线和干预后调查测量了燃烧 (Mini Z 2.0) 和工作负载 (NASA TLX).
- 混合方法方法,将定量数据与半结构面试相结合.
主要成果:
- 观察到医生输入字符的数量显著减少 (15,398个字符;p=0.03).
- 没有发现燃烧,精神需求或EHR时间的显著变化.
- 关键的促进因素包括感知到的准确性和潜在的工作量减少;障碍物包括缺乏电子健康记录集成和处理复杂的咨询.
结论:
- 人工智能写字工具可以减少打字负担,但在本研究中没有显著影响整体倦怠或工作量.
- 成功实施需要解决诸如EHR集成和先进的临床场景处理等障碍.
- 需要进一步开发以获得广泛接受,并实现人工智能书记者在减少医生负担方面的全部潜力.
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