Trial reportApplied clinical informatics2025
The Influence of Artificial Intelligence Scribes on Clinician Experience and Efficiency among Pediatric Subspecialists: A Rapid, Randomized Quality Improvement Trial.
Trial report in Applied clinical informatics, 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 6 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.
Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes
Who cites it
6 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
- Ethical Governance of Large Language Models in Health Care: Trust, Responsibility, and Equity in Routine Use.Journal of medical Internet research · 2026Article
- Article
- Impact of an Ambient AI Scribe Among Clinicians and Patients: Real-World Prospective Observational Time-Motion Study.JMIR medical informatics · 2026Observational
- Ambient Artificial Intelligence Scribes in Pediatric Hematology-Oncology: Early Implementation of DAX Copilot.Applied clinical informatics · 2026Article
- The double-edged sword of generative AI in dermatology: a multi-component cross-sectional study on physician burnout, patient satisfaction, and communication quality.Frontiers in medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) scribes may reduce the documentation burden and improve clinician experience through generative AI automatically producing provider note sections from recordings of patient-provider encounters.We aimed to examine the impact of AI scribes on clinician experience, clinician efficiency, and business efficiency measures among pediatric subspecialty physicians.We randomized pediatric subspecialty providers with ≥0.5 clinical full-time equivalent and stable electronic health record (EHR) log metrics to use Microsoft/Nuance Digital Ambient eXperience (DAX) Copilot from May 1, 2024, to July 31, 2024 (intervention group) or controls. Using difference-in-differences, we compared quantitative measures of subjective clinician experience using the KLAS Net EHR Experience survey, objective measures of clinician efficiency from EHR logs (e.g., pajama time), and business efficiency measures. At-the-elbow support checked in with intervention providers approximately weekly, and we assessed the sentiment of qualitative comments.Twelve providers were randomized to the intervention and 11 to the control group. One intervention provider stopped using DAX due to ineffectiveness. In the intervention group, DAX was used to populate one or more characters in 53% of visit notes (range across providers: 10.6-98.2%). Nine intervention and eight control providers completed pre- and postsurveys. KLAS Net EHR Experience improved among intervention providers from 52.6 (70th percentile) to 75.2 (99th percentile) but dropped from 37.3 (38th percentile) to 30 (14th percentile) among control providers. Experiencing burnout dropped from 8 (89%) to 5 (56%) among intervention providers but remained stable at 3 (38%) in the control group. There was no significant change to pajama time (-9.4 minutes per scheduled day, 95% CI: -41.2 to +22.4), time in notes per encounter (+0.2 minutes per note, 95% CI: -6.6 to +6.9), or work Relative Value Units (wRVUs) per encounter (-0.03, 95% CI: -0.5 to +0.44). Of 48 qualitative comments, 69% had a positive sentiment, 15% neutral, and 17% negative.Among pediatric subspecialists, AI scribes improved clinician experience and burnout without changing charting time or EHR work outside work hours.
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