Evidence map›Paper›PMID 39366661›Full record

ArticleApplied clinical informatics2025

Interventions to Mitigate EHR and Documentation Burden in Health Professions Trainees: A Scoping Review.

Deborah R Levy, Sarah C Rossetti, Cynthia A Brandt, Edward R Melnick, Andrew Hamilton, Seppo T Rinne, Dana Womack, Vishnu Mohan

Abstract readScoping Review
In one paragraph

Article in Applied clinical informatics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Observational
  6. Article
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

8 authors.

Deborah R LevyDepartment of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States.
Sarah C RossettiDepartment of Biomedical Informatics, Columbia University New York, New York, United States.
Cynthia A BrandtDepartment of Veterans Affairs, Pain Research Informatics Multimorbidities and Education (PRIME) Center, VA-CT, West Haven, Connecticut, United States.
Edward R MelnickDepartment of Biomedical Informatics and Data Science, Yale University School of Medicine, New Haven, Connecticut, United States.
Andrew HamiltonOregon Health and Sciences University (OHSU), OHSU Library, Portland, Oregon, United States.
Seppo T RinneVA Bedford Healthcare System, Center for Healthcare Organization and Implementation Research, Bedford, Massachusetts, United States.
Dana WomackDepartment of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States.
Vishnu MohanDepartment of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Sciences University, Portland, Oregon, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth professions trainees (trainees) are unique as they learn a chosen field while working within electronic health records (EHRs). Efforts to mitigate EHR burden have been described for the experienced health professional (HP), but less is understood for trainees. EHR or documentation burden (

objectivesThis study aimed to develop a model of how interventions to mitigate EHR burden fit within the trainee EHR workflow: the

methodsWe conducted a four-database scoping review applying Preferred Reporting Items for Systematic Reviews and Meta-Analysis Extensions for Scoping Review (PRISMA-ScR) guidance, examining scholarly, peer-reviewed studies that measured trainee experience of interventions to mitigate EHR burden. We conducted a concept clarification categorizing, then mapping studies to workflow model elements. We adapted the model to intervenable points for trainee EHR burden.

resultsWe identified 11 studies examining interventions to mitigate EHR burden that measured trainee experience. Interventions included curriculum, training, and coaching on the existing EHR for both simulated or live tasks; evaluating scribes' impact; adding devices or technology tailored to rounds; and team communication or data presentation at end-of-shift handoffs. Interventions had varying effects on EHR burden, most commonly measured through surveys, and less commonly, direct observation. Most studies had limited sample sizes and focused on inpatient settings and physician trainees.

conclusionFew studies measured trainee perspectives of interventions aiming to mitigate EHR burden. Many studies applied quasi-experimental designs and focused on inpatient settings. The

Indexed as

DocumentationElectronic Health RecordsHealth OccupationsHealth PersonnelHumansWorkflow

Identifiers

PMID39366661
PMCPMC11798655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.