对临床医生环境人工智能文档平台的评估
Cheryl D Stults1, Sien Deng1, Meghan C Martinez1
1Sutter Health, Palo Alto, California.
JAMA network open
|May 2, 2025
概括
环境人工智能 (AI) 文档平台减少了临床医生的电子健康记录 (EHR) 时间,并提高了工作满意度. 这项技术有望通过减少文件处理时间和工作量来提高临床医生的福祉.
科学领域:
- 医疗保健技术 医疗保健技术 医疗保健技术
- 临床信息学是一种临床信息学.
- 医学中的人工智能.
背景情况:
- 电子健康记录 (EHR) 系统有助于临床医生的倦怠.
- 环境人工智能 (AI) 文档平台提供了一种潜在的解决方案,可以减少与EHR相关的工作量.
- 改善临床医生的福祉对于医疗保健质量至关重要.
研究的目的:
- 评估环境AI文档平台对临床医生的经验和EHR工作负载的影响.
- 在AI实施之前和之后评估临床医生福祉指标的变化.
- 根据临床医生的人口统计和专业来识别结果的变化.
主要方法:
- 使用前后设计进行质量改进试点研究.
- 在一个大型医疗机构中实施环境AI文档平台.
- 在6个月的时间内,从100名临床医生收集了EHR指标和调查数据.
- 使用后勤回归和线性混合效应模型进行分析.
主要成果:
- 环境人工智能显著减少了每次约会花在笔记上的时间 (P < .001).
- 临床医生报告的工作量,包括精神需求和忙的步伐,显著下降 (P < .001).
- 总体上,工作满意度有所提高,特别是在初级保健临床医生中 (P < .001).
- 燃烧率显示没有显著下降.
结论:
- 环境人工智能文档平台可以通过减少文档时间和感知工作量来改善临床医生的体验.
- 结果可能因临床医生的性别和专业而异,需要进一步调查.
- 环境AI的广泛采用有可能减轻与EHR相关的倦怠.
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