ArticleJournal of the American Medical Informatics Association : JAMIA2025
Ambient artificial intelligence scribes: utilization and impact on documentation time.
Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07742761 (Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes), which is not on this map. Cited by 87 papers, 4 of them syntheses 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.
Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes
Who cites it
87 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Evidence on artificial intelligence-assisted clinical documentation and healthcare workers' emotional wellbeing at work: a scoping review.Frontiers in psychology · 2026Pooled it
- Application of artificial intelligence tools and clinical documentation burden: a systematic review and meta-analysis.BMC medical informatics and decision making · 2025Pooled it
- Clinical Implementation of Artificial Intelligence Scribes in Health Care: A Systematic Review.Applied clinical informatics · 2025Pooled it
- Evaluating the performance of artificial intelligence-based speech recognition for clinical documentation: a systematic review.BMC medical informatics and decision making · 2025Pooled it
- Real-Time Artificial Intelligence Diagnostic Copilot in Simulated Primary Care Consultations: Randomized Simulation Study.JMIR formative research · 2026Trial
- The STREAMLINE Pilot Study on Time Reduction and Efficiency in AI-Mediated Logging for Improved Note-Taking Experience.Applied clinical informatics · 2025Trial
- Ambient Artificial Intelligence Scribes: A Scoping Review With Implications for Otolaryngology.The Laryngoscope · 2026Article
- State-of-the-art review in AI and digital technologies for spine deformity.Spine deformity · 2026Review
- For the record: a narrative review of ambient voice technology in clinical documentation for dentistry and wider healthcare.British dental journal · 2026Review
- Accelerating ambient AI scribe enterprise-scale deployment: Cleveland Clinic's novel approach to health system-industry partnership.npj health systems · 2026Review
- An Electronic Health Record-Integrated, Large Language Model-Powered Tool to Triage Surgical Patients.JAMA network open · 2026Article
- Review
- Artificial Intelligence Scribes in Orthopaedic Surgery: A Narrative Review.Journal of the American Academy of Orthopaedic Surgeons. Global research & reviews · 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
- Clinician Perspectives on Ambient AI Scribes in the Intensive Care Unit: Qualitative Interview Study.JMIR medical informatics · 2026Article
- Artificial intelligence in the emergency department-- applications, perceptions and limitations: a narrative review.World journal of emergency medicine · 2026Review
- Implementation outcomes of AI documentation support in routine clinical practice: A non-randomized controlled trial.PLOS digital health · 2026Article
- Ambient AI in primary care: an exploratory mixed methods survey of UK general practitioners.BMJ health & care informatics · 2026Article
- Patient perspectives on clinicians' use of ambient AI scribes.JAMIA open · 2026Article
- From Clinical Encounter to Draft Documentation: A Mechanistic Narrative Review of Ambient Scribe Technology.Cureus · 2026Review
27 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
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo quantify utilization and impact on documentation time of a large language model-powered ambient artificial intelligence (AI) scribe. MATERIALS AND
methodsThis prospective quality improvement study was conducted at a large academic medical center with 45 physicians from 8 ambulatory disciplines over 3 months. Utilization and documentation times were derived from electronic health record (EHR) use measures.
resultsThe ambient AI scribe was utilized in 9629 of 17 428 encounters (55.25%) with significant interuser heterogeneity. Compared to baseline, median time per note reduced significantly by 0.57 minutes. Median daily documentation, afterhours, and total EHR time also decreased significantly by 6.89, 5.17, and 19.95 minutes/day, respectively. DISCUSSION: An early pilot of an ambient AI scribe demonstrated robust utilization and reduced time spent on documentation and in the EHR. There was notable individual-level heterogeneity.
conclusionLarge language model-powered ambient AI scribes may reduce documentation burden. Further studies are needed to identify which users benefit most from current technology and how future iterations can support a broader audience.
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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.