Topaz Maxim, Peltonen Laura Maria, Zhang Zhihong
Columbia University School of Nursing, New York, NY, USA.
Columbia University Data Science Institute, New York, NY, USA.
NPJ Digit Med. 2025 Sep 24;8(1):569. doi: 10.1038/s41746-025-01895-6.
Artificial intelligence (AI) scribes have been rapidly adopted across health systems, driven by their promise to ease the documentation burden and reduce clinician burnout. While early evidence shows efficiency gains, this commentary cautions that adoption is outpacing validation and oversight. Without greater scrutiny, the rush to deploy AI scribes may compromise patient safety, clinical integrity, and provider autonomy.
在有望减轻记录负担并减少临床医生职业倦怠的推动下,人工智能(AI)抄写员已在各医疗系统中迅速得到采用。虽然早期证据显示效率有所提高,但本评论告诫称,采用速度超过了验证和监督的速度。如果没有更严格的审查,急于部署AI抄写员可能会损害患者安全、临床完整性和医疗服务提供者的自主权。