Evidence map›Paper›PMID 41106393›Full record

ArticleApplied clinical informatics2025

Evaluating Clinical Staff Perceptions of EHR Usability, Satisfaction, and Adaptation to a New EHR: A Multisite, Pre-Post Implementation Study.

Courtney J Diamond, Jonathan E Elias, Rachel Y Lee, Haomiao Jia, Erika L Abramson, Jessica S Ancker, Susan Bostwick, Kenrick D Cato, Richard Trepp, Rachel A Lewis and 2 more

Abstract readMulticenter Study
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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Courtney J DiamondDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
Jonathan E EliasDepartment of Primary Care, Weill Cornell Medicine, New York, New York, United States.
Rachel Y LeeDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.
Haomiao JiaColumbia University Irving Medical Center, School of Nursing, New York, New York, United States.
Erika L AbramsonDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, United States.
Jessica S AnckerDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Susan BostwickDepartment of Pediatrics, Weill Cornell Medicine, New York, New York, United States.
Kenrick D CatoUniversity of Pennsylvania School of Nursing, Philadelphia, Pennsylvania, United States.
Richard TreppDepartment of Emergency Medicine, Columbia University Irving Medical Center, New York, New York, United States.
Rachel A LewisDepartment of Pediatrics, Columbia University Irving Medical Center, New York, New York, United States.
Timothy J CrimminsColumbia University Irving Medical Center, New York, New York, United States.
Sarah C RossettiDepartment of Biomedical Informatics, Columbia University Irving Medical Center, New York, New York, United States.

Funding

Training in Biomedical Informatics at Columbia UniversityT15LM007079 · NLM · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI NOEMIE ELHADAD, GEORGE M HRIPCSAK · 1992 to 2026
$28.9M
NLM NIH HHS T15 LM007079
6 · The paper itself

Abstract

The adoption of electronic health records (EHRs) into clinical practice has changed clinical workflows and, in some cases, increased documentation burden and clinician burnout. Identifying factors associated with perceived EHR usability after the implementation of a new EHR may guide efforts to reduce burden and burnout.This study measured: (1) group-level perceptions of EHR usability pre- and postimplementation of a new EHR; (2) adaptation to the new EHR; and (3) the effects of clinical role, setting, and specialty on these measures.Pre- and postimplementation surveys were sent to clinical staff at two academic medical centers (AMC A and AMC B), each part of the same Northeast health system where one instance of a new EHR was implemented starting in 2020. The surveys measured constructs from the Health Information Technology Usability Evaluation Scale (Health-ITUES) and Health Information Technology Adaptation survey. Unpaired

Indexed as

Attitude of Health PersonnelElectronic Health RecordsPerceptionFemaleHumansMaleSurveys and Questionnaires

Identifiers

PMID41106393
PMCPMC12534127

What OpenQuestion holds

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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.