ArticleJAMA network open2025
Physician Perspectives on Ambient AI Scribes.
Article in JAMA network open, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
72 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review.Frontiers in psychology · 2026Pooled it
- An LLM chatbot to facilitate primary-to-specialist care transitions: a randomized controlled trial.Nature medicine · 2026Trial
- Ambient Artificial Intelligence Scribes: A Scoping Review With Implications for Otolaryngology.The Laryngoscope · 2026Article
- Optimizing the delivery of radiotherapy with artificial intelligence.Nature reviews. Clinical oncology · 2026Review
- [Requirements for artificial intelligence scribe systems for medical documentation in ophthalmology].Die Ophthalmologie · 2026Article
- Attitudes Toward Large Language Models in Health Care and Preferences for Their Adoption and Oversight Among Health Care Professionals: Cross-Sectional Survey.Journal of medical Internet research · 2026Article
- Generative AI Use, Perceived Usefulness, Perceived Risk, and Physician Burnout and Fulfillment Among Chinese Physicians: Mixed Methods Multiregional Study.Journal of medical Internet research · 2026Article
- The Promise of Ambient AI Technology in Medical Education: Opportunities and Guardrails.JMIR medical informatics · 2026Article
- For the record: a narrative review of ambient voice technology in clinical documentation for dentistry and wider healthcare.British dental journal · 2026Review
- Artificial intelligence in clinical genetics: Current practice and attitudes among the clinical genetics workforce.Genetics in medicine : official journal of the American College of Medical Genetics · 2026Article
- Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- General-Purpose Artificial Intelligence Use in Routine Mental Health Practice Among Australian Clinicians: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Value Configurations Associated with Artificial Intelligence Literacy Among Medical Students: Findings from NCA and fsQCA.Behavioral sciences (Basel, Switzerland) · 2026Article
- Adding Artificial Intelligence to the Surgeon's Domain.World journal of surgery · 2026Review
- Optimizing Hip and Knee Arthroplasty Clinic Flow: A Prospective Evaluation of Artificial Intelligence Scribe Technology.Arthroplasty today · 2026Article
- Artificial Intelligence Scribes in Orthopaedic Surgery: A Narrative Review.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 2026Review
- Use of Artificial Intelligence in Rheumatoid Arthritis: Advancements and Novel Perspectives.Journal of clinical medicine · 2026Review
- Evaluation of an AI Medical Scribe After 236,153 Notes Generated Across Care Levels in a European Health System: Mixed Methods Retrospective Observational Study.JMIR medical informatics · 2026Observational
- Feasibility of Tailoring Artificial Intelligence-Assisted Ambient Scribes for Intensive Care Unit Rounds: Algorithm Development and Validation.JMIR medical informatics · 2026Article
- Ambient AI Scribes and Emergency Department Documentation Burden: Retrospective Cohort Study.JMIR AI · 2026Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Importance: Limited qualitative studies exist evaluating ambient artificial intelligence (AI) scribe tools. Such studies can provide deeper insights into ambient AI implementations by capturing lived experiences. Objective: To evaluate physician perspectives on ambient AI scribes. Design, Setting, and Participants: A qualitative study using semistructured interviews guided by the Reach, Efficacy, Adoption, Implementation, Maintenance/Practical, Robust Implementation, and Sustainability Model (RE-AIM/PRISM) framework, with thematic analysis using both inductive and deductive approaches. Physicians participating in an AI scribe pilot that included community and faculty practices, across primary care and ambulatory specialties, were invited to participate in interviews. This ambient AI scribe pilot at a health care organization in California was conducted from November 2023 to January 2024. Main Outcome and Measures: Facilitators and barriers to adoption, practical effectiveness, and suggestions for improvement to enhance sustainability. Results: Twenty-two semistructured interviews were conducted with AI pilot physicians from primary care (13 [59%]) and ambulatory specialties (9 [41%]), including physicians from community practices (12 [55%]) and faculty practices (10 [45%]). Facilitators to adoption included ease of use, ease of editing, and generally positive perspectives of tool quality. Physicians expressed positive sentiments about the impact of the ambient AI scribe tool on cognitive demand (16 of 16 comments [100%]), temporal demand (28 comments [62%]), work-life integration (10 of 11 comments [91%]), and overall workload (8 of 9 comments [89%]). Physician perspectives of the impact of the ambient AI scribe tool on their engagement with patients were mostly positive (38 of 56 comments [68%]). Barriers to adoption included limited functionality with non-English speaking patients and lack of access for physicians without a specific device. Physician perspectives on accuracy and style were largely negative, particularly regarding note length and editing requirements. Several specific suggestions for tool improvement were identified, and physicians were optimistic regarding the potential for long-term use of ambient AI scribes. Conclusion and Relevance: In this qualitative study, ambient AI scribes were found to positively impact physician workload, work-life integration, and patient engagement. Key facilitators and barriers to adoption were identified, along with specific suggestions for tool improvement. These findings suggest the potential for ambient AI scribes to reduce clinician burden, with user-centered recommendations offering practical guidance on ways to improve future iterations and improve adoption.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.