Evidence map›Paper›PMID 40374898›Full record

ArticleNPJ digital medicine2025

EMR usability and patient safety: a national survey of physicians.

David Schwappach, Wolf Hautz, Gert Krummrey, Yvonne Pfeiffer, Raj M Ratwani

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  6. AI Competency: Current State and Challenges.JMIR medical education · 2026
    Article
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  9. Palliative care and social practice · 2026
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  10. Article
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  12. CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  13. Canada's health innovation imperative.CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2025
    Article
  14. Article
  15. 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.

David SchwappachInstitute of Social and Preventive Medicine (ISPM), University of Bern, Bern, Switzerland. David.Schwappach@unibe.ch.
Wolf HautzDepartment of Emergency Medicine, Inselspital University Hospital, University of Bern, Bern, Switzerland.
Gert KrummreyInstitute for Medical Informatics (I4MI), Bern University of Applied Sciences (BFH), Biel/Bienne, Switzerland.
Yvonne Pfeifferharmfree healthcare, Wädenswil, Switzerland.
Raj M RatwaniMedStar Health National Center for Human Factors in Healthcare, Washington, DC, USA.

Funding

Swiss Medical Association no id
6 · The paper itself

Abstract

Despite widespread adoption of electronic medical records (EMRs), concerns persist regarding their usability and implications for patient safety. This national cross-sectional survey assessed physicians' perceptions of EMR usability across safety-relevant domains. Among 1933 respondents from diverse care settings, 56% reported that their EMR did not enhance patient safety, and 50% perceived their system as inefficient. Usability ratings averaged 52% of the maximum score. Statistically significant differences were observed between EMRs in outpatient (η² = 0.13) and hospital (η² = 0.37) settings. Multilevel modeling attributed 38% of the variance in usability ratings to differences between EMRs, 51% to hospital-level variation within EMRs, and 11% to physician-level differences. Canonical discriminant analysis identified key differentiating usability features, including system response times, excessive alerts, prevention of data entry errors, and support for collaboration. These findings underscore substantial limitations in current EMR systems and reinforce the value of comparative usability assessments to inform targeted improvements in digital health infrastructure.

Identifiers

PMID40374898
PMCPMC12081653

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Registered trials

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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.