Evidence map›Paper›PMID 40206730›Full record

ArticleMayo Clinic proceedings. Digital health2023

Effect of Tailored Coaching on Physicians' Electronic Health Record Proficiency and User Experience: A Randomized Crossover Study.

Saif Khairat, Prabal Chourasia, Elizabeth Kwong, Ji Min Choi, Carl Seashore

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

5 authors.

Saif KhairatCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Prabal ChourasiaCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Elizabeth KwongCarolina Health Informatics Program, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Ji Min ChoiDepartment of Statistics and Operations Research, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Carl SeashoreDivision of General Pediatrics and Adolescent Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To examine the effect of a tailored EHR coaching intervention, informed by audit log data, on physicians' EHR proficiency, and user experience among pediatricians. Patients and Methods: A 12-month (August 2020 - August 2021) randomized crossover quality improvement study of a tailored EHR coaching was conducted on 34 pediatric physicians at a major medical center. Participants were randomized into Group AB or Group BA. The intervention was a single 1-hour, one-on-one coaching session. An Epic certified pediatrician tailored each coaching session to meet each physician needs using their EHR audit log data. We analyzed EHR audit log data for 3 months pre- and post-intervention. Results: Out of the 34 physicians, 15 (44%) were primary care pediatricians, 19 (56%) were female, 24 (70%) practiced at the medical center. During the initial intervention, the average proficiency score for the Group AB increased by 8.9% (pre-post difference: 0.37, 95% CI: -0.35 to 1.09; Conclusion: Electronic health record audit log data can be used to inform tailored coaching to improve physicians' EHR proficiency levels and user experience. Tailored EHR coaching can increase awareness about efficiency tools available in the EHR. These findings are relevant to decisionmakers and learning health systems interested in provider well-being by optimizing EHR use.

Identifiers

PMID40206730
PMCPMC11975678

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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.