ArticlePloS one2020
Analyses of electronic health records utilization in a large community hospital.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 3 of them syntheses 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
13 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024Pooled it
- Uses of Electronic Health Record Data to Measure the Clinical Learning Environment of Graduate Medical Education Trainees: A Systematic Review.Academic medicine : journal of the Association of American Medical Colleges · 2023Pooled it
- Interaction Time with Electronic Health Records: A Systematic Review.Applied clinical informatics · 2021Pooled it
- Electronic health record use in physiotherapy: adoption, perceived relevance and utilisation patterns-a cross-sectional study.BMJ health & care informatics · 2026Observational
- EHR Use in Inpatient Physicians: Patterns and Predictors.Applied clinical informatics · 2025Article
- Analyzing Physician In Basket Burden and Efficiency Using K-Means Clustering.Applied clinical informatics · 2025Article
- The Paradoxes of Digital Tools in Hospitals: Qualitative Interview Study.Journal of medical Internet research · 2024Article
- Rounds Redesign: Our Experience In Splitting Interdisciplinary Rounds.Journal of Brown hospital medicine · 2024Article
- Differences in Health Professionals' Engagement With Electronic Health Records Based on Inpatient Race and Ethnicity.JAMA network open · 2023Article
- Using event logs to observe interactions with electronic health records: an updated scoping review shows increasing use of vendor-derived measures.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Predicting next-day discharge via electronic health record access logs.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- The Application of Projection Word Embeddings on Medical Records Scoring System.Healthcare (Basel, Switzerland) · 2021Article
- Association Between Proficiency and Efficiency in Electronic Health Records Among Pediatricians at a Major Academic Health System.Frontiers in digital health · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionThe Electronic Health Record (EHR) has become an integral component of healthcare delivery. Survey based studies have estimated that physicians spend 4-6 hours of their workday devoted to EHR. Our study was designed to use computer software to objectively obtain time spent on EHR.
methodsWe recorded EHR time for 248 physiciansover 2 time intervals. EHR active use was defined as more than 15 keystrokes, or 3 mouse clicks, or 1700 "mouse miles" per minute. We recorded total time and % of work hours spent on EHR, and differences in those based on seniority. Physicians reported duty hours using a standardized toolkit.
resultsPhysicians spent 3.8 (±2) hours on EHR daily, which accounted for 37% (±17%), 41% (±14%), and 45% (±12%) of their day for all clinicians, residents, and interns, respectively. With the progression of training, there was a reduction in EHR time (all p values <0.01). During the first academic quarter, clinicians spent 38% (± 8%) of time on chart review, 17% (± 7%) on orders, 28% (±11%) on documentation (i.e. writing notes) and 17% (±7%) on other activities (i.e. physician hand-off and medication reconciliation). This pattern remained unchanged during the fourth quarter.
conclusionsPhysicians spend close to 40% of their work day on EHR, with interns spending the most time. There is a significant reduction in time spent on EHR with training and greater experience, although the overall amount of time spent on EHR remained high.
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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.