Evidence map›Paper›PMID 41531851›Full record

ArticlePRiMER (Leawood, Kan.)2025

Use of Epic Signal Data to Evaluate the Impact of an "EHR Pearls" Curriculum.

Jonathan Stewart, Tonja Locklear, John W Epling

Abstract read
In one paragraph

Article in PRiMER (Leawood, Kan.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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.

Jonathan StewartDepartment of Family & Community Medicine, Carilion Clinic and Virginia Tech Carilion School of Medicine, Roanoke, VA.
Tonja LocklearHealth Analytics Research Team, Carilion Clinic, Roanoke, VA.
John W EplingDepartment of Family & Community Medicine, Carilion Clinic and Virginia Tech Carilion School of Medicine, Roanoke, VA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Family medicine (FM) residents spend hours working in the electronic health record (EHR). We implemented a multifaceted training program to improve their ability to utilize the EHR. This study analyzed Epic Signal data to assess the impact of that training on their proficiency and efficiency in the system. Methods: We performed a retrospective cohort study using 3 years of monthly data exported from Epic's Signal database for residents in our FM program and programs of internal medicine, obstetrics and gynecology, and pediatrics within our organization. The EHR training program was implemented in FM (and not the other residencies) incrementally across this time frame. We analyzed trends in Epic's proprietary Provider Efficiency Profile Score ("efficiency") and Proficiency Score ("proficiency") for differences in these scores. Results: FM residents demonstrated improved proficiency in EHR use over time compared to the other residencies. No significant changes in efficiency were seen for any group. Conclusion: Epic Signal data provides a tool to study curricular impacts. An EHR training program enhanced FM residents' proficiency but did not improve efficiency.

Identifiers

PMID41531851
PMCPMC12795575

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.