Evidence map›Paper›PMID 28893811›Full record

ArticleAnnals of family medicine2017

Tethered to the EHR: Primary Care Physician Workload Assessment Using EHR Event Log Data and Time-Motion Observations.

Brian G Arndt, John W Beasley, Michelle D Watkinson, Jonathan L Temte, Wen-Jan Tuan, Christine A Sinsky, Valerie J Gilchrist

Registry-linked trialAbstract readEvaluation Study
In one paragraph

Article in Annals of family medicine, 2017. 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 442 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
442citing papers in PubMed, 6 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

442 citing papers in PubMed, 6 syntheses or guidelines pooled it.

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  4. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
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382 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.

Brian G ArndtSchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin brian.arndt@fammed.wisc.edu.
John W BeasleySchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin.
Michelle D WatkinsonSchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin.
Jonathan L TemteSchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin.
Wen-Jan TuanSchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin.
Christine A SinskyAmerican Medical Association, Chicago, Illinois.
Valerie J GilchristSchool of Medicine and Public Health, Department of Family Medicine and Community Health, University of Wisconsin, Madison, Wisconsin.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrimary care physicians spend nearly 2 hours on electronic health record (EHR) tasks per hour of direct patient care. Demand for non-face-to-face care, such as communication through a patient portal and administrative tasks, is increasing and contributing to burnout. The goal of this study was to assess time allocated by primary care physicians within the EHR as indicated by EHR user-event log data, both during clinic hours (defined as 8:00 am to 6:00 pm Monday through Friday) and outside clinic hours.

methodsWe conducted a retrospective cohort study of 142 family medicine physicians in a single system in southern Wisconsin. All Epic (Epic Systems Corporation) EHR interactions were captured from "event logging" records over a 3-year period for both direct patient care and non-face-to-face activities, and were validated by direct observation. EHR events were assigned to 1 of 15 EHR task categories and allocated to either during or after clinic hours.

resultsClinicians spent 355 minutes (5.9 hours) of an 11.4-hour workday in the EHR per weekday per 1.0 clinical full-time equivalent: 269 minutes (4.5 hours) during clinic hours and 86 minutes (1.4 hours) after clinic hours. Clerical and administrative tasks including documentation, order entry, billing and coding, and system security accounted for nearly one-half of the total EHR time (157 minutes, 44.2%). Inbox management accounted for another 85 minutes (23.7%).

conclusionsPrimary care physicians spend more than one-half of their workday, nearly 6 hours, interacting with the EHR during and after clinic hours. EHR event logs can identify areas of EHR-related work that could be delegated, thus reducing workload, improving professional satisfaction, and decreasing burnout. Direct time-motion observations validated EHR-event log data as a reliable source of information regarding clinician time allocation.

Indexed as

Time and Motion StudiesAdultBurnout, ProfessionalElectronic Health RecordsFemaleHumansMaleMiddle AgedPhysicians, Primary CarePrimary Health CareRetrospective StudiesWorkloadburnoutelectronic health recordshealth information technologypractice-based researchprimary careworkload

Identifiers

PMID28893811
PMCPMC5593724

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.