Evidence map›Paper›PMID 42868240›Full record

ArticleJMIR medical informatics2026

Ambient AI Scribe Technology and Perceived Documentation Efficiency Among Surgeons: Cross-Sectional Study.

Sophia Luo, Katlyn McKay, Tatiana Zabaleta, Jeffrey S Upperman, Jamie R Robinson

Abstract read
In one paragraph

Article in JMIR medical informatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Sophia LuoDepartment of Pediatric Surgery, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital, 2200 Children's Way, Nashville, TN, 37232, United States, 1 919 935 1339.ORCID http://orcid.org/0000-0002-2040-9773
Katlyn McKaySection of Surgical Sciences, Vanderbilt University Medical Center, Nashville, TN, United States.ORCID http://orcid.org/0000-0001-6686-2971
Tatiana ZabaletaDepartment of Pediatric Surgery, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital, 2200 Children's Way, Nashville, TN, 37232, United States, 1 919 935 1339.ORCID http://orcid.org/0009-0006-4261-7553
Jeffrey S UppermanDepartment of Pediatric Surgery, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital, 2200 Children's Way, Nashville, TN, 37232, United States, 1 919 935 1339.ORCID http://orcid.org/0000-0002-8037-6985
Jamie R RobinsonDepartment of Pediatric Surgery, Vanderbilt University Medical Center, Monroe Carell Jr. Children's Hospital, 2200 Children's Way, Nashville, TN, 37232, United States, 1 919 935 1339.ORCID http://orcid.org/0000-0003-0888-0156

Funding

Vanderbilt Interdisciplinary Hospital-Based Systems of Care Research and Training ProgrAm (VISTA)T32HL170986 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SUNIL KRIPALANI, ALAN B STORROW · 2024 to 2026
$1.3M
NHLBI NIH HHS T32 HL170986
6 · The paper itself

Abstract

Background: Clinical documentation demands a significant share of surgeons' time and can contribute to documentation-related burden and burnout. While electronic health records (EHRs) offer accessibility and completeness, they also impose a substantial documentation burden. Ambient AI scribe solutions aim to reduce this burden by capturing patient-clinician dialogue in real time to automate clinical documentation. However, their specific impact on surgical practice remains under-studied. Objective: We aimed to evaluate surgeons' perceptions of documentation efficiency, documentation timeliness, and burnout following implementation of an ambient AI documentation tool within the EHR during outpatient clinical encounters. Methods: We conducted a single-center cross-sectional survey of all surgical faculty members at a tertiary care academic institution 3 months after institutional implementation of the ambient AI-powered clinical documentation tool Dragon Ambient Experience (DAX) Copilot. A total of 368 faculty surgeons representing 12 surgical subspecialties were invited to participate. Participants were asked to retrospectively assess their baseline perceptions of documentation burden and subsequently report perceived changes following DAX Copilot implementation using standardized Likert-scale survey items. Descriptive analyses were performed among active DAX Copilot users. Open-ended responses were analyzed using practical thematic analysis. Results: The survey was completed by 28.5% (105/368) of the invited surgeons, with 38.1% (40/105) of participants reporting active DAX Copilot use. Overall, 77.5% (31/40) of users reported some or significant improvement in perceived documentation efficiency. Of those who reported a negative or neutral baseline perception of documentation time, 75.8% (25/33) reported an improved perception of efficiency following implementation of the ambient AI tool, whereas 85.7% (6/7) of surgeons with positive baseline perceptions of documentation time also reported further improvement. Improvements in perceived documentation timeliness were reported by 70.4% (19/27) of surgeons who previously reported negative or neutral baseline perceptions of timeliness and 76.9% (10/13) of surgeons with positive baseline perceptions. Additionally, 72.5% (29/40) of respondents reported enhanced documentation accuracy, detail, and consistency after DAX Copilot implementation. Improvements in self-reported burnout levels were reported less frequently, with 59.0% (23/39) of respondents reporting some or significant improvement, including 63.0% (17/27) with negative or neutral baseline perceptions of burnout. Qualitative feedback highlighted perceived improvements in documentation quality while also identifying current limitations of the technology, including challenges related to EHR integration, device compatibility, and customization. Conclusions: In this single-center survey of surgeons using DAX Copilot in their outpatient clinical practice, use of ambient AI scribe technology was associated with improved perceptions of documentation efficiency and timeliness. These findings suggest that ambient AI tools may improve surgeons' perceived documentation experience in outpatient surgical care.

Indexed as

Artificial IntelligenceDocumentationElectronic Health RecordsPerceptionSurgeonsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedRetrospective StudiesSurveys and QuestionnairesAIambient AIartificial intelligenceclinical documentationDAX Copilotdocumentation efficiencydocumentation practicesDragon Ambient Experience Copilotphysician burnoutsurgeons

Identifiers

PMID42868240
PMCPMC13660865

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.