How Ambient AI Could Bring the Human Touch Back to Medicine.

Missouri medicine Pub Date : 2026-03-01
Areeba Moiz, Evan L O'Keefe, Michael L Main, James H O'Keefe
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引用次数: 0

Abstract

The United States healthcare system is facing historic levels of clinician burnout and workforce shortage fueled in large part by the onerous demands inherent in electronic health records (EHR). Ambient artificial intelligence (AI) scribe technology, such as Nuance's Dragon Ambient eXperience (DAX), has emerged as a tool to automate clinical documentation via transcribing and summarizing patient-clinician interactions. Studies demonstrate reductions in documentation time, after-hours work, and clinician-reported burnout, alongside improvements in efficiency, patient engagement, and patient and clinician satisfaction. Challenges remain, however, regarding data privacy, algorithmic bias, regulatory oversight, and clinical validation. In the future, ambient AI scribes will evolve beyond transcription, integrating prior patient records, and expand into allied health fields, including nursing. Ambient AI offers a transformative opportunity to strengthen healthcare delivery while preserving humanity in medicine by allowing clinicians to spend more time in face-to-face interactions and less time performing word processing tasks in the EHR.

环境人工智能如何将人类的触摸带回医学。
美国医疗保健系统正面临着临床医生职业倦怠和劳动力短缺的历史水平,这在很大程度上是由于电子健康记录(EHR)固有的繁重需求造成的。环境人工智能(AI)转录技术,如Nuance的Dragon Ambient eXperience (DAX),已经成为一种通过转录和总结患者与临床医生之间的互动来自动化临床文档的工具。研究表明,减少了记录时间、下班后的工作和临床医生报告的倦怠,同时提高了效率、患者参与度以及患者和临床医生的满意度。然而,在数据隐私、算法偏见、监管监督和临床验证方面,挑战仍然存在。未来,环境人工智能抄写器将超越抄写,整合既往患者记录,并扩展到包括护理在内的联合健康领域。环境人工智能提供了一个变革性的机会,通过允许临床医生花更多的时间进行面对面的互动,减少在电子病历中执行文字处理任务的时间,从而加强医疗保健服务,同时保持医学中的人性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
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0
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