环境人工智能在临床实践中写作:一个随机试验
Paul J Lukac1,2, William Turner3, Sitaram Vangala3
1Department of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.
NEJM AI
|January 7, 2026
概括
环境人工智能书记者在减少医生文档时间和倦怠方面表现出前途. 一个人工智能书记者Nabla显著减少了笔记中的时间,而这两个人工智能书记者可能改善了医生的倦怠和任务负载.
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:
- 环境人工智能 (AI) 书记提供了一个潜在的解决方案,以应对大量的文档负担和医生倦怠.
- 尽管它们充满希望,但人工智能书写者的现实影响尚未在随机临床试验中得到严格评估.
研究的目的:
- 为了评估两种环境人工智能编写应用程序Microsoft Dragon Ambient eXperience (DAX) Copilot和Nabla对医生文档时间和倦怠的影响.
- 在实用随机临床试验中,比较DAX Copilot和Nabla与常规护理对照组的有效性.
主要方法:
- 一个并行的三组实用随机临床试验,涉及14个专业的238名医生.
- 医生被随机分配1:1:1到DAX Copilot,Nabla或常规护理对照组.
- 主要结果是日志写作时间的变化;次要结果包括医生任务负载和倦怠得分.
主要成果:
- 与对照组相比,使用纳布拉与记录时间的统计学上显著下降9.5%有关 (P=0.02).
- 与对照组 (P=0.66) 相比,DAX Copilot 的记录时间没有显著变化.
- 无论是DAX Copilot还是Nabla用户都报告了医生任务负载,倦怠和工作疲劳得分的潜在改善,尽管这些发现需要进一步验证.
结论:
- 纳布拉证明了医生记录时间的显著减少,这表明它在简化文档方面的有效性.
- 两位人工智能作家都显示出对医生福祉的潜在益处,但需要进一步的多中心试验来确认这些次要结果.
- 临床医生认为这两种AI写字平台的性能相似,强调需要对偶尔出现的不准确性保持持续警.
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