环境人工智能书记对实习生文档负担的影响
Donald S Wright1,2,3, Naga S Kanaparthy1,2,3, Edward R Melnick1,2
1Department of Emergency Medicine, Yale School of Medicine, New Haven, Connecticut, United States.
Applied clinical informatics
|July 2, 2025
概括
使用环境人工智能书记的住院医生经历了减少文档负担和提高认知负载. 这项研究强调了人工智能书记者提高学员体验的潜力,尽管建议对学习效应进行进一步的研究.
科学领域:
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
- 医生培训 医生培训 医生培训
背景情况:
- 环境人工智能 (AI) 书记是生成性AI的新兴商业工具.
- 有限的研究存在于人工智能对住院医生实习生的影响,而不是与主治医生相比.
研究的目的:
- 为了评估学员与环境人工智能书记者的经验.
- 关键措施包括可用性,可接受性和文档负担.
主要方法:
- 未来的观察性研究与47个居民实习生超过2个月.
- 使用了NASA任务负载指数 (NASA-TLX),系统可用性量表,净促销商得分和AMIA趋势负担调查.
- 收集的电子健康记录 (EHR) 使用数据.
主要成果:
- 采用率高:91.5%的参与者使用了AI写字器.
- 认知负载显著改善 (NASA-TLX得分从56.3下降到43.3,p<0.001).
- 报告说,文档负担有所改善,可接受性高;每个笔记的时间没有显著变化.
结论:
- 环境人工智能书记者在减少学员的文档负担方面表现出有希望.
- 需要对人工智能书记对实习生学习和专业知识发展的影响进行进一步的研究.
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