Evidence map›Paper›PMID 41249645›Full record

ArticleJournal of general internal medicine2026

Hybrid Ambient Clinical Documentation and Physician Performance: Work Outside of Work, Documentation Delay, and Financial Productivity.

Lidia Mvr Moura, Rebecca G Mishuris, Joshua P Metlay, Mamoon Habib, David Y Ting, Katherine L Gallagher, Suzanne Brodney, Meghan L Rieu-Werden, Jennifer S Haas

Abstract read
In one paragraph

Article in Journal of general internal medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Trial
  2. Review
  3. Ambient scribes in general practice - help or hindrance?The British journal of general practice : the journal of the Royal College of General Practitioners · 2026
    Article
  4. Article
  5. Large Language Models in Surgery: Promise, Pitfalls, and Practical Use.Journal of abdominal wall surgery : JAWS · 2026
    Review
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

9 authors.

Lidia Mvr MouraDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA. lidia.moura@mgh.harvard.edu.ORCID 0000-0002-1191-1315
Rebecca G MishurisHarvard Medical School, Boston, MA, USA.
Joshua P MetlayHarvard Medical School, Boston, MA, USA.
Mamoon HabibDepartment of Neurology, Massachusetts General Hospital, Boston, MA, USA.
David Y TingDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Katherine L GallagherDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Suzanne BrodneyDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Meghan L Rieu-WerdenDivision of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Jennifer S HaasHarvard Medical School, Boston, MA, USA.

Funding

Center for Transformation of Internal Medicine (CENTRI) No number
6 · The paper itself

Abstract

backgroundHealthcare systems are under growing pressure to increase clinician productivity while reducing burnout. After-hours electronic health record (EHR) documentation- "work outside of work" (WOW)-is a major contributor to clinician fatigue. While generative AI-powered ambient clinical documentation (ACD) tools offer promise, their real-world impact remains uncertain.

objectiveTo evaluate whether a hybrid ACD program (combining generative AI and a virtual scribe) is associated with changes in (1) WOW, (2) documentation delay, and (3) clinician financial productivity.

designRetrospective study (July 1-December 30, 2024).

participantsIn total, 181 attending physicians and advanced practice clinicians across 14 adult primary care practices within a Massachusetts healthcare system. Sixty-six clinicians (36%) voluntarily enrolled in the hybrid ACD program, which was rolled out using an activation schedule.

interventionThe ACD tool used large language models to generate draft clinical notes that were then reviewed and finalized by a human scribe and integrated into the EHR. Participants received standardized training and technical support. MAIN MEASURES: Outcomes over the 50-day post-activation period included (1) WOW (5:30 pm-7:00 am weekdays; all weekends/holidays); (2) documentation delay (proportion of notes open ≥ 2 business days); and (3) financial productivity (work relative value units, wRVUs). Generalized estimating equations were used, adjusting for clinician and panel characteristics. KEY

resultsACD adoption had a dynamic impact. WOW initially increased by 32.1% (95% CI 25.5%, 39.1%) on day 10 but decreased by 41.7% (95% CI -51.8%, -29.4%) by day 50 compared to baseline. Documentation delay consistently improved, with the odds of delayed note closure reduced by 66.5% (95% CI -68.3%, -64.7%) at day 10 and 66.0% (95% CI -72.5%, -57.8%) at day 50. Financial productivity increased steadily by 1.5% (95% CI -0.2%, 3.2%) on day 10 and 12.1% (95% CI 5.7%, 18.9%) by day 50.

conclusionACD adoption was associated with reduced after-hours work, faster note completion, and improved financial productivity within 50 days of implementation.

Indexed as

DocumentationEfficiencyElectronic Health RecordsPhysiciansAdultBurnout, ProfessionalFemaleHumansMaleMassachusettsMiddle AgedPrimary Health CareRetrospective Studiesartificial intelligenceprimary carewell-being

Identifiers

PMID41249645
PMCPMC13083757

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.