Evidence map›Paper›PMID 39721577›Full record

ArticleApplied clinical informatics2024

Analysis of Informatics Topics in Accreditation Council for Graduate Medical Education Program Requirements.

Thomas Z Rohan, Ruhi Nayak, Kevin Yang, Vinod E Nambudiri, Ellen Kim

Abstract read
In one paragraph

Article in Applied clinical informatics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. 10 Principles of Geriatric Psychiatry.Academic psychiatry : the journal of the American Association of Directors of Psychiatric Residency Training and the Association for Academic Psychiatry · 2025
    Article
  3. Article
  4. Article
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  9. Article
  10. Early experiences of accredited clinical informatics fellowships.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  11. Assessment-based health informatics curriculum improvement.Journal of the American Medical Informatics Association : JAMIA · 2016
    Article
  12. Article
  13. Comments: Response to Defining Scholarly Activity.Journal of graduate medical education · 2014
    Article
  14. Article
  15. 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

5 authors.

Thomas Z RohanSidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, Pennsylvania, United States.
Ruhi NayakHarvard Medical School, Boston, Massachusetts, United States.
Kevin YangDepartment of Medicine, Mount Auburn Hospital, Cambridge, Massachusetts, United States.
Vinod E NambudiriDepartment of Dermatology, Brigham and Women's Hospital, Boston, Massachusetts, United States.
Ellen KimHarvard Medical School, Boston, Massachusetts, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is growing recognition of the need to incorporate informatics education in U.S. residencies. Medical residency training programs are critical in shaping system change and can play a pivotal role by incorporating clinical informatics (CI) based learning into their training requirements.

objectivesWe searched the Accreditation Council for Graduate Medical Education (ACGME) Residency Program Requirements effective July 1, 2023, to assess the inclusion of CI topics for all medical residency specialties to assess the relative levels of CI knowledge expected by graduates.

methodsWe performed independent full-text search queries of 23 informatics-related keywords (e.g., electronic health record, innovation, database) in the ACGME Residency Program Requirements of 24 medical specialties.

resultsAll specialties' requirements contained at least five different keywords, with the total count ranging from 25 to 42 (mean: 32.00; standard deviation: 5.09). Pathology contained the highest counts with 42, followed by internal medicine and family medicine with 41 each. Pathology included the most distinct keywords (11). The most common keywords were "leadership" (62%) and "electronic health record" (10%). There were no specific mentions of several keywords-including "analytics," "artificial intelligence," and "machine learning"-within any program requirements. Although the ACGME Residency Program Requirements state that residents must demonstrate competence in using information technology to optimize learning, the extent is not fully specified; only 10 programs mention the keyword "information technology" within their specialty guidelines.

conclusionThe integration of CI education varies across specialties and may be even more variable across programs. Our study highlights potential opportunities for further standardization and integration of CI into resident curriculum requirements in order to better prepare future physician workforces for a changing medical landscape. We encourage educators, residency review committees, and national specialty organizations to consider further exploring the incorporation of CI content into residency training program requirements.

Indexed as

AccreditationEducation, Medical, GraduateMedical InformaticsHumansInternship and Residency

Identifiers

PMID39721577
PMCPMC11669440

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.