Evidence map›Paper›PMID 36342001›Full record

ArticleHealth services research2023

Documentation dynamics: Note composition, burden, and physician efficiency.

Nate C Apathy, Lisa Rotenstein, David W Bates, A Jay Holmgren

Registry-linked trialAbstract read
In one paragraph

Article in Health services research, 2023. 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 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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.

NCT07742761 naactive not recruitingnot on this mapstarted 2026, after this paper: background citation

Emergency Medicine Practitioners Overall Well-being Enhancement With Ambient AI Scribes

TypeinterventionalSponsorWashington University School of MedicineRan2026 to 2027Enrolled55ConditionsWell-being at Work, BurnoutArmsAmbient AI Scribe
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
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  19. Ambient artificial intelligence scribes: utilization and impact on documentation time.Journal of the American Medical Informatics Association : JAMIA · 2025
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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

4 authors.

Nate C ApathyNational Center for Human Factors in Healthcare, MedStar Health Research Institute, Washington, District of Columbia, USA.ORCID 0000-0002-7775-8544
Lisa RotensteinHarvard Medical School, Boston, Massachusetts, USA.
David W BatesHarvard Medical School, Boston, Massachusetts, USA.
A Jay HolmgrenCenter for Clinical Informatics and Improvement Research, University of California - San Francisco School of Medicine, San Francisco, California, USA.

Funding

Agency for Healthcare Research and Quality T32-HS026116-04AHRQ HHS T32 HS026116
6 · The paper itself

Abstract

objectiveTo analyze how physician clinical note length and composition relate to electronic health record (EHR)-based measures of burden and efficiency that have been tied to burnout. DATA SOURCES AND STUDY

settingSecondary EHR use metadata capturing physician-level measures from 203,728 US-based ambulatory physicians using the Epic Systems EHR between September 2020 and May 2021. STUDY

designIn this cross-sectional study, we analyzed physician clinical note length and note composition (e.g., content from manual or templated text). Our primary outcomes were three time-based measures of EHR burden (time writing EHR notes, time in the EHR after-hours, and EHR time on unscheduled days), and one measure of efficiency (percent of visits closed in the same day). We used multivariate regression to estimate the relationship between our outcomes and note length and composition. DATA EXTRACTION: Physician-week measures of EHR usage were extracted from Epic's Signal platform used for measuring provider EHR efficiency. We calculated physician-level averages for our measures of interest and assigned physicians to overall note length deciles and note composition deciles from six sources, including templated text, manual text, and copy/paste text. PRINCIPAL

findingsPhysicians in the top decile of note length demonstrated greater burden and lower efficiency than the median physician, spending 39% more time in the EHR after hours (p < 0.001) and closing 5.6 percentage points fewer visits on the same day (p < 0.001). Copy/paste demonstrated a similar dose/response relationship, with top-decile copy/paste users closing 6.8 percentage points fewer visits on the same day (p < 0.001) and spending more time in the EHR after hours and on days off (both p < 0.001). Templated text (e.g., Epic's SmartTools) demonstrated a non-linear relationship with burden and efficiency, with very low and very high levels of use associated with increased EHR burden and decreased efficiency.

conclusions"Efficiency tools" like copy/paste and templated text meant to reduce documentation burden and increase provider efficiency may have limited efficacy.

Indexed as

Burnout, ProfessionalElectronic Health RecordsPhysiciansCross-Sectional StudiesDocumentationEfficiencyEfficiency, OrganizationalHumansdocumentationelectronic health recordshealth policyphysician burnout

Identifiers

PMID36342001
PMCPMC10154172

What OpenQuestion holds

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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.