Evidence map›Paper›PMID 35440924›Full record

ArticlePerspectives in health information managemen2022

Factors That Influence Clinician Experience with Electronic Health Records.

Vimal Mishra, David Liebovitz, Michael Quinn, Le Kang, Thomas Yackel, Robert Hoyt

Abstract read
In one paragraph

Article in Perspectives in health information managemen, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
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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

6 authors.

Vimal Mishra
David Liebovitz
Michael Quinn
Le Kang
Thomas Yackel
Robert Hoyt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To report quantitative and qualitative analyses of features, functionalities, organizational, training, clinical specialties, and other factors that impact electronic health record (EHR) experience based on a survey by two large healthcare systems. Materials and Methods: A total of 816 clinicians-352 (43 percent) physicians, 96 (12 percent) residents/fellows, 177 (22 percent) nurses, 96 (12 percent) advanced practice providers, and 95 (12 percent) allied health professionals-completed surveys on different EHRs. Responses were analyzed for quantitative and qualitative factors. The measured outcome was calculated as a net EHR experience. Results: Net EHR experience represents overall satisfaction that clinicians report with the EHR and its usability. EHR experience for Virginia Commonwealth University Medical Center and University of Chicago Medicine was low. There were noticeable differences in physician and nursing experiences with EHRs at both universities. EHR personalization, years of practice, impact on efficiency, quality of care, and satisfaction with EHR training contributed significantly to the net EHR experience. Satisfaction of certain specialty practitioners such as endocrinology, family medicine, infectious disease, nephrology, neurology, and pulmonology was noted to be especially low. Ability to use a split-screen function to view labs, follow-up training from other providers rather than vendors, reduced documentation time burden, fewer click boxes, more customizable order sets, improved messaging, e-prescribing, and improved integration were the most common desired EHR improvements requested on qualitative analysis. Discussion: EHR experience was low regardless of the system and may be improved by better EHR training, increased utilization of personalization tools, reduced documentation burden, and enhanced EHR design and functionality. There was a difference between provider and nursing experiences with the EHR. Conclusion: Designing better EHR training, increasing utilization of personalization tools, enhancing functionality, and decreasing documentation burden may lead to a better EHR experience.

Indexed as

Electronic Health RecordsPhysiciansDocumentationHumansSurveys and Questionnaires

Identifiers

PMID35440924
PMCPMC9013220

What OpenQuestion holds

Textmetadata
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.