ArticleJournal of the American Medical Informatics Association : JAMIA2023
I had not time to make it shorter: an exploratory analysis of how physicians reduce note length and time in notes.
Article in Journal of the American Medical Informatics Association : JAMIA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- The Triple Burden of Administrative Tasks Among US Family Medicine Physicians-A Cross-sectional Study.Journal of general internal medicine · 2026Article
- Nested order panels for adult primary care modestly improves ordering efficiency among high utilizers.JAMIA open · 2026Article
- The digital health landscape at children's hospitals in Canada.Paediatrics & child health · 2025Article
- Electronic documentation burden among outpatient rehabilitation therapists: a qualitative descriptive study and quality improvement initiative.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Consistency is key: documentation distribution and efficiency in primary care.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- All aboard the ChatGPT steamroller: Top 10 ways to make artificial intelligence work for healthcare professionals.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2023Article
- The Impact of Documentation Workflow on the Accuracy of the Coded Diagnoses in the Electronic Health Record.Ophthalmology scienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveWe analyze observed reductions in physician note length and documentation time, 2 contributors to electronic health record (EHR) burden and burnout. MATERIALS AND
methodsWe used EHR metadata from January to May, 2021 for 130 079 ambulatory physician Epic users. We identified cohorts of physicians who decreased note length and/or documentation time and analyzed changes in their note composition.
results37 857 physicians decreased either note length (n = 15 647), time in notes (n = 15 417), or both (n = 6793). Note length decreases were primarily attributable to reductions in copy/paste text (average relative change of -18.9%) and templated text (-17.2%). Note time decreases were primarily attributable to reductions in manual text (-27.3%) and increases in note content from other care team members (+21.1%). DISCUSSION: Organizations must consider priorities and tradeoffs in the distinct approaches needed to address different contributors to EHR burden.
conclusionFuture research should explore scalable burden-reduction initiatives responsive to both note bloat and documentation time.
Indexed as
Identifiers
What OpenQuestion holds
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.