Evidence map›Paper›PMID 39230808›Full record

ArticleJournal of general internal medicine2025

Using Dashboards to Support Continuous Quality Improvement in Undergraduate and Graduate Medical Education.

Carolyn L Dufault, Eve R Colson, Gary L Beck Dallaghan, April O Buchanan, Eva M Aagaard, Leslie Blaylock, Matthew Wroblewski, Lars Osterberg, Brenda J B Roman, Lisa Coplit

Abstract readEditorial
In one paragraph

Article in Journal of general internal medicine, 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. 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

10 authors.

Carolyn L DufaultWashington University School of Medicine, St. Louis, MO, USA. cdufault@wustl.edu.ORCID 0000-0002-4813-6084
Eve R ColsonWashington University School of Medicine, St. Louis, MO, USA.
Gary L Beck DallaghanCarle Illinois College of Medicine, Urbana, IL, USA.
April O BuchananUniversity of South Carolina School of Medicine Greenville, Greenville, SC, USA.
Eva M AagaardWashington University School of Medicine, St. Louis, MO, USA.
Leslie BlaylockWashington University School of Medicine, St. Louis, MO, USA.
Matthew WroblewskiWashington University School of Medicine, St. Louis, MO, USA.
Lars OsterbergStanford University School of Medicine, Stanford, CA, USA.
Brenda J B RomanWright State University, Dayton, OH, USA.
Lisa CoplitFrank H. Netter MD School of Medicine at, Quinnipiac University, North Haven, CT, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Like other complex systems, medical education programs require a systematic continuous quality improvement (CQI) approach to drive effective improvement. Accreditation bodies in both undergraduate medical education (UME) and graduate medical education (GME) require programs to have effective CQI processes. Dashboards facilitate visualization and tracking of key metrics that impact medical education programming, thus driving excellence. Keys to developing useful dashboards include using existing program evaluation frameworks to identify desired outputs, determine acceptable evidence, and identify key data sources. In developing dashboards, it is important to consider data management including oversight and appropriate sharing of reports. When effectively developed and delivered to key parties, data dashboards serve as valuable tools to drive improvement of medical education programing. The purpose of this paper is to provide guidance for dashboard implementation and use in medical education, with a focus on UME and GME, based on available literature and experiences in our own institutions.

Indexed as

Education, Medical, GraduateEducation, Medical, UndergraduateQuality ImprovementAccreditationHumans

Identifiers

PMID39230808
PMCPMC11780057

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.