Evidence map›Paper›PMID 39384324›Full record

ArticleApplied clinical informatics2025

Taking a Team Approach: Keep Up with the EHR with a Training and Optimization Program.

Rachel K McEntee, Juvena R Hitt, Amber Sieja

Abstract read
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. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Rachel K McEnteeDepartment of Medicine, University of Vermont Larner College of Medicine, University of Vermont Health Network, Burlington, Vermont, United States.
Juvena R HittDepartment of Medicine Quality Program, University of Vermont Larner College of Medicine, Vermont, United States.
Amber SiejaDepartment of Medicine, University of Colorado School of Medicine, UCHealth Sprint EHR Optimization and Training Program, UCHealth and Ambulatory Services, Aurora, Colorado, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to describe the current landscape of electronic health record (EHR) training and optimization programs (ETOPs) and their impact on health care workers' (HCWs) experience with the EHR.

methodsA 72-question electronic survey was developed and distributed to health care organization (HCO) leaders in clinical informatics (Chief Medical Information Officer [CMIO]/Chief Nursing Information Officer [CNIO]/Medical Informatics Executive, Associate CMIO/Medical Director of, Clinical/Nurse/Physician Informaticist) through various channels such as national informatics conferences, social media, and email distribution lists of vendors and informatics associations. The survey collected data on the characteristics, resourcing, approach, and outcomes of ETOPs. Descriptive statistics were applied to analyze the data.

resultsThere were 193 responses from 147 distinct HCOs. Of these, 69% offer ongoing EHR training, and 52% offer some version of an ETOP. Offered ETOPs vary in their timing, modality, audience, team composition, duration, and EHR build strategy. The most commonly measured outcomes were EHR satisfaction, efficiency, and provider burnout, and most ETOPs reported improvement in these areas.

conclusionThe findings suggest that ETOPs are inconsistently implemented across HCOs, and while there are some commonalities, there is a wide variety of designs and methods of evaluation for the programs. Though the problems to solve (EHR efficiency, proficiency, and satisfaction) are the same, the organizational structure and culture of HCOs vary widely, which may partially explain the variability seen in reported ETOPs. When considering the measured outcomes, ETOPs may have direct and indirect effects on HCW burnout by improving EHR efficiency and satisfaction, as well as driving organizational culture toward teamwork and flexible problem-solving. For this reason, ETOPs may also serve as a model for addressing other challenges in health care delivery. ETOPs are a promising intervention to enhance HCW experience with the EHR and reduce burnout. More research is needed to identify the optimal features, methods, and outcomes of ETOPs, and to disseminate them across HCOs.

Indexed as

Electronic Health RecordsHealth PersonnelHumansSurveys and Questionnaires

Identifiers

PMID39384324
PMCPMC11821295

What OpenQuestion holds

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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.