Evidence map›Paper›PMID 33211862›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Measures of electronic health record use in outpatient settings across vendors.

Sally L Baxter, Nate C Apathy, Dori A Cross, Christine Sinsky, Michelle R Hribar

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing 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.

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

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

  1. Measuring Documentation Burden in Healthcare.Journal of general internal medicine · 2024
    Pooled it
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. National trends in oncology specialists' EHR inbox work, 2019-2022.Journal of the National Cancer Institute · 2025
    Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Consistency is key: documentation distribution and efficiency in primary care.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  18. Article
  19. Guidance for reporting analyses of metadata on electronic health record use.Journal of the American Medical Informatics Association : JAMIA · 2024
    Article
  20. 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

5 authors.

Sally L BaxterViterbi Family Department of Ophthalmology and Shiley Eye Institute, University of California San Diego, La Jolla, California, USA.
Nate C ApathyPerelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Dori A CrossDivision of Health Policy and Management, University of Minnesota School of Public Health, Minneapolis, Minnesota, USA.
Christine SinskyAmerican Medical Association, Chicago, Illinois, USA.
Michelle R HribarDepartment of Medical Informatics and Clinical Epidemiology, Oregon Health & Sciences University, Portland, Oregon, USA.

Funding

San Diego Biomedical Informatics Education & Research (SABER)T15LM011271 · NLM · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SHAMIM NEMATI · 2012 to 2026
$9.7M
The Indiana Training Program in Public & Population Health InformaticsT15LM012502 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI Brian E. Dixon, William F Fadel · 2017 to 2026
$4.7M
NLM NIH HHS T15 LM011271
6 · The paper itself

Abstract

Electronic health record (EHR) log data capture clinical workflows and are a rich source of information to understand variation in practice patterns. Variation in how EHRs are used to document and support care delivery is associated with clinical and operational outcomes, including measures of provider well-being and burnout. Standardized measures that describe EHR use would facilitate generalizability and cross-institution, cross-vendor research. Here, we describe the current state of outpatient EHR use measures offered by various EHR vendors, guided by our prior conceptual work that proposed seven core measures to describe EHR use. We evaluate these measures and other reporting options provided by vendors for maturity and similarity to previously proposed standardized measures. Working toward improved standardization of EHR use measures can enable and accelerate high-impact research on physician burnout and job satisfaction as well as organizational efficiency and patient health.

Indexed as

Ambulatory CareTask Performance and AnalysisCommerceData CollectionElectronic Health RecordsHumansWorkloadaudit logburnoutelectronic health recordsmeasuremetricvendor

Identifiers

PMID33211862
PMCPMC8068413

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.