Evidence map›Paper›PMID 39419264›Full record

ArticleApplied clinical informatics2025

Electronic Health Record User Dashboard for Optimization of Surgical Resident Procedural Reporting.

Parker T Evans, Scott D Nelson, Adam Wright, Chetan V Aher

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. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

4 authors.

Parker T EvansDepartment of General Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Scott D NelsonDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Adam WrightDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, Tennessee, United States.
Chetan V AherDepartment of General Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, United States.

Funding

Vanderbilt Biomedical Informatics Training ProgramT15LM007450 · NLM · VANDERBILT UNIVERSITY · PI Jessica S. Ancker, Bradley A. Malin · 2002 to 2026
$19.7M
NLM NIH HHS T15 LM007450
6 · The paper itself

Abstract

backgroundWhile necessary and educationally beneficial, administrative tasks such as case and patient tracking may carry additional burden for surgical trainees. Automated systems targeting these tasks are scarce, leading to manual and inefficient workflows.

methodsWe created an electronic health record (EHR)-based, user-specific dashboard for surgical residents to compile resident-specific data: bedside procedures performed, operative cases performed or participated in, and notes written by the resident as a surrogate for patients cared for. Usability testing was performed with resident volunteers, and residents were also surveyed postimplementation to assess for efficacy and satisfaction. Access log data from the EHR was used to assess dashboard usage over time. Descriptive statistics were calculated.

resultsThe dashboard was implemented on a population of approximately 175 surgical residents in 5 different departments (General Surgery, Obstetrics and Gynecology, Neurosurgery, Orthopaedics, and Otolaryngology) at a single academic medical center. Six resident volunteers participating in usability testing completed an average of 96% of preset tasks independently. Average responses to five questions extracted from the System Usability Scale (SUS) questions ranged from 4.0 to 4.67 out of 5. Postimplementation surveys indicated high resident satisfaction (4.39 out of 5) and moderate rates of use, with 46.4% of residents using the dashboard at least monthly. Daily use of the dashboard has increased over time, especially after making the dashboard a default for surgical residents.

conclusionAn EHR-based dashboard compiling resident-specific data can improve the efficiency of administrative tasks and supplement longitudinal education.

Indexed as

Electronic Health RecordsInternship and ResidencyUser-Computer InterfaceHumans

Identifiers

PMID39419264
PMCPMC11864848

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.