Barriers and opportunities of scaling ambient AI scribes for clinical documentation across diverse healthcare settings
Ambient AI scribes are reshaping clinical documentation and clinician-patient interactions. These tools were initially tested in low-acuity ambulatory settings. However, their deployment in diverse care settings raises new challenges. This perspective examines the clinical, technical, and ethical implications of ambient AI scribes in diverse settings. With thoughtful integration, ambient AI scribes can evolve into valuable assistive tools to clinicians. Responsible use of these tools can improve interactions with patients, enhance safety, reduce clinician burden, and improve care continuity.
Authors
- Raymond Francis Sarmiento (ORCID: https://orcid.org/0000-0001-8516-1855)
- Joshua W. Ohde (ORCID: https://orcid.org/0000-0002-4211-4490)
- Joshua D. Overgaard (ORCID: https://orcid.org/0009-0002-6013-1902)
- Yuhe Ke
- Arjun Thompson
- Zhenghong Liu
- Jasmine Chiat Ling Ong
- Jonathan Chong Kai Liew
- Shauna M. Overgaard
- Jonathan Yue En Tan
- Nan Liu
- Lauren M. Rost
Institutions
- Mayo Clinic (US)
- National University of Singapore (SG)
- Duke University (US)
- Singapore General Hospital (SG)
- Mayo Clinic Health System (US)
- Mayo Clinic in Arizona (US)
- Duke-NUS Medical School (SG)
- Mayo Clinic in Florida (US)
- University of Pennsylvania (US)
- University of Asia and the Pacific (PH)
Publication Details
- Journal
- npj Digital Medicine
- Published
- 2026-03-23
- DOI
- https://doi.org/10.1038/s41746-026-02554-0
- Primary Topic
- Electronic Health Records Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00