Evidence map›Paper›PMID 42306449›Full record

ArticleJournal of graduate medical education2026

Graduate Medical Education Data in the United States: Availability and Accessibility Across National Organizations.

Angela E Thelen, Rebecca S Gates, Deena Khamees, Mary R C Haas, Alyssa A Pradarelli, John Burkhardt, Andrew E Krumm, Debra Weinstein, Brian C George

Abstract read
In one paragraph

Article in Journal of graduate medical education, 2026. 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

9 authors.

Angela E Thelenis a Clinical Associate in Endocrine Surgery, Integrated Surgical Institute, Cleveland Clinic Foundation, Cleveland, Ohio, USA.ORCID https://orcid.org/0000-0001-8084-6986
Rebecca S Gatesis a Resident Physician, Department of Surgery, Carilion Clinic, Virginia Tech Carilion School of Medicine, Roanoke, Virginia, USA.ORCID https://orcid.org/0000-0002-4940-7501
Deena Khameesis an Assistant Professor, Department of Emergency Medicine, McGovern Medical School and Texas Innovation and Education Research Lab, University of Texas Health Science Center, Houston, Texas, USA.ORCID https://orcid.org/0000-0002-2262-9964
Mary R C Haasis an Assistant Professor, Department of Emergency Medicine, and Director, Emergency Medicine Medical Education Fellowship, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-9506-5928
Alyssa A Pradarelliis a Research Associate, Center for Surgical Training and Research, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3501-1784
John Burkhardtis an Assistant Professor, Departments of Emergency Medicine and Learning Health Sciences, and Director, Master's in Health Professions Education Program, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-6273-8762
Andrew E Krummis an Assistant Professor, Department of Learning Health Sciences, University of Michigan, Ann Arbor, Michigan, USA; at the time of writing.ORCID https://orcid.org/0000-0001-9714-1632
Debra Weinsteinwas the Executive Vice Dean for Academic Affairs, University of Michigan Medical School, and Chief Academic Officer, Michigan Medicine, Ann Arbor, Michigan, USA, and is currently President and Chief Executive Officer, Accreditation Council for Graduate Medical Education, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0003-4410-2386
Brian C Georgeis an Associate Professor, Department of Surgery, and Director, Center for Surgical Training and Research, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-9404-5255

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Longitudinal, multi-organizational data have enormous potential for improving graduate medical education (GME) yet aggregating and sharing that data remain difficult. Objective: To determine what data is collected and how data is shared by US medical education organizations, as a next step toward expanded sharing of GME data. Methods: Ten multispecialty US medical education and licensing organizations that participated in the 2019 National Academies of Sciences, Engineering, and Medicine conference completed a pre-meeting data survey. Leaders from 9 of these organizations participated in semi-structured interviews conducted between January 2021 and May 2022. Content analysis of survey data and interview transcripts were used to construct a data inventory. Each of the 9 interviewed organizations reviewed and updated their inventory in January and February 2024. Inductive analyses of interview transcripts were conducted to identify additional themes. Results: The pre-meeting survey and interviews had a 100% (10 total) and 90% (9 of 10) response rate, respectively. Study participants collect a large amount of GME-related data, some of which is duplicative. None collect longer-term outcomes, including patient outcomes. There is also no common physician identifier used by all organizations, although Association of American Medical Colleges ID and National Provider Identifier have been adopted most widely. All organizations share data to varying degrees. Two themes emerged regarding ongoing efforts to expand data sharing: perceived benefits of a harmonized system and challenges to implementation. Conclusions: Data are increasingly available from organizations collecting national GME data in the United States.

Indexed as

Data CollectionEducation, Medical, GraduateInformation DisseminationAcademiaHumansSurveys and QuestionnairesUnited States

Identifiers

PMID42306449
PMCPMC13267203

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.