Evidence map›Paper›PMID 39969880›Full record

ArticleJAMA network open2025

Clinician Experiences With Ambient Scribe Technology to Assist With Documentation Burden and Efficiency.

Matthew J Duggan, Julietta Gervase, Anna Schoenbaum, William Hanson, John T Howell, Michael Sheinberg, Kevin B Johnson

Abstract read
In one paragraph

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 124 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
124citing papers in PubMed, 5 pooled it
–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

124 citing papers in PubMed, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  17. 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 · 2026
    Article
  18. Article
  19. Review
  20. Effect of use of ambient listening technology on patient-reported communication and satisfaction ratings.Journal of the American Medical Informatics Association : JAMIA · 2026
    Article

64 more citing papers are in PubMed but not listed here.

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

7 authors.

Matthew J DugganDepartment of Information Services, University of Pennsylvania Health System, Philadelphia.
Julietta GervaseSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania.
Anna SchoenbaumDepartment of Information Services, University of Pennsylvania Health System, Philadelphia.
William HansonHospital of the University of Pennsylvania, Philadelphia.
John T HowellDepartment of Information Services, University of Pennsylvania Health System, Philadelphia.
Michael SheinbergLancaster General Health, University of Pennsylvania, Philadelphia.
Kevin B JohnsonDivision of Biomedical Informatics, Department of Biostatistics, Epidemiology, and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia.

Funding

Helping Doctors Doctor: Using AI to Automate Documentation and "De-Autonomate" Health CareDP1LM014558 · NLM · UNIVERSITY OF PENNSYLVANIA · PI KEVIN B. JOHNSON · 2023 to 2026
$5.7M
NLM NIH HHS DP1 LM014558
6 · The paper itself

Abstract

Importance: Timely evaluation of ambient scribing technology is warranted to assess whether this technology can lessen the burden of clinical documentation on clinicians. Objective: To investigate the association of ambient scribing technology with efficiency, quality, and perceived burden of clinical documentation in the outpatient setting. Design, Setting, and Participants: This prospective, single-group pre-post quality improvement study was conducted between April and June 2024 in the outpatient setting of an academic health system in Philadelphia, Pennsylvania. Participants included physicians, nurse practitioners, and physician assistants. Data were analyzed from July to August 2024. Exposure: Access to an artificial intelligence-driven ambient scribing tool for outpatient notes. Main Outcomes and Measures: The primary outcomes were time in notes per appointment, same-day appointment closure, after-hours work time, perceived burden of clinical documentation, and comments on clinicians' experiences using ambient scribing. A mixed-effects model was used. Both objective metrics and survey feedback were obtained. Targeted perspective questions, designed to assess clinician-perceived patient engagement and perceived documentation burden, were assessed on a 7-point Likert scale. Standard System Usability Scale (SUS) and net promoter score (NPS) formulas were used to analyze usability and recommendability data. Results: This study included 46 clinicians from 17 different medical specialties, with a mean (SD) of 11.1 (8.7) years in practice. From baseline to post intervention, use of the ambient scribing tool was associated with 20.4% less time in notes per appointment (from 10.3 to 8.2 minutes; P < .001), 9.3% greater same-day appointment closure (from 66.2% to 72.4%; P <.001), and 30.0% less after-hours work time per workday (from 50.6 to 35.4 minutes per workday; P = .02). Targeted perspective questions showed more favorable scores. Open-ended qualitative feedback from clinicians showed a range of positive, negative, and mixed feedback regarding their use of ambient scribing technology. SUS scores showed that the ambient scribing tool was easy to use. NPSs reflected the mixed qualitative feedback. Conclusions and Relevance: In this quality improvement study, the use of ambient scribe technology was associated with greater efficiency of outpatient clinical documentation, lower mental burden of documentation for clinicians, and greater sense of engagement with patients during outpatient appointments. Additional studies exploring urgent care settings, examining patient experience, and comparing multiple tools will be important to better understand the effect of ambient scribing on ambulatory care.

Indexed as

Artificial IntelligenceDocumentationElectronic Health RecordsFemaleHumansMaleMiddle AgedPhiladelphiaPhysician AssistantsProspective StudiesQuality Improvement

Identifiers

PMID39969880
PMCPMC11840636

What OpenQuestion holds

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LicenceCC BY
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.