Barriers and opportunities of scaling ambient AI scribes for clinical documentation across diverse healthcare settings.

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Title: Barriers and opportunities of scaling ambient AI scribes for clinical documentation across diverse healthcare settings.
Authors: Ohde JW; Center for Digital Health, Mayo Clinic, Rochester, MN, USA., Thompson A; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore., Liu Z; Department of Emergency Medicine, Singapore General Hospital, Singapore, Singapore., Rost LM; Center for Digital Health, Mayo Clinic, Rochester, MN, USA., Overgaard JD; Department of Medicine, General Internal Medicine, Mayo Clinic, Rochester, MN, USA., Tan JYE; Department of Future Health Systems, Singapore General Hospital, Singapore, Singapore., Overgaard SM; Center for Digital Health, Mayo Clinic, Rochester, MN, USA.; AI Validation & Stewardship Research Program, Mayo Clinic Health System, Rochester, MN, USA., Sarmiento RFR; Metro Pacific Health Tech Corporation, Pasig City, Philippines., Ke Y; Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore.; Department of Anesthesiology, Singapore General Hospital, Singapore, Singapore.; Data Science and Artificial Intelligence Lab, Singapore General Hospital, Singapore, Singapore., Liew JCK; Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore.; Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA., Ong JCL; Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore. jasmine.ong.c.l@sgh.com.sg.; Division of Pharmacy, Singapore General Hospital, Singapore, Singapore. jasmine.ong.c.l@sgh.com.sg., Liu N; Duke-NUS AI + Medical Sciences Initiative, Duke-NUS Medical School, Singapore, Singapore. liu.nan@duke-nus.edu.sg.; Centre for Biomedical Data Science, Duke-NUS Medical School, Singapore, Singapore. liu.nan@duke-nus.edu.sg.; Pre-hospital & Emergency Research Centre, Health Services Research and Population Health, Duke-NUS Medical School, Singapore, Singapore. liu.nan@duke-nus.edu.sg.; NUS Artificial Intelligence Institute, National University of Singapore, Singapore, Singapore. liu.nan@duke-nus.edu.sg.; Department of Biostatistics and Bioinformatics, Duke University, Durham, NC, USA. liu.nan@duke-nus.edu.sg.
Source: NPJ digital medicine [NPJ Digit Med] 2026 Mar 23; Vol. 9 (1). Date of Electronic Publication: 2026 Mar 23.
Publication Type: Journal Article; Review
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101731738 Publication Model: Electronic Cited Medium: Internet ISSN: 2398-6352 (Electronic) Linking ISSN: 23986352 NLM ISO Abbreviation: NPJ Digit Med Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2398-6352
DOI:10.1038/s41746-026-02554-0