Evidence map›Paper›PMID 37215538›Full record

ArticlePerspectives on medical education2023

TRainee Attributable & Automatable Care Evaluations in Real-time (TRACERs): A Scalable Approach for Linking Education to Patient Care.

Jesse Burk-Rafel, Stefanie S Sebok-Syer, Sally A Santen, Joshua Jiang, Holly A Caretta-Weyer, Eduardo Iturrate, Matthew Kelleher, Eric J Warm, Daniel J Schumacher, Benjamin Kinnear

Abstract read
In one paragraph

Article in Perspectives on medical education, 2023. 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. The Case for Educational Informatics in Graduate Medical Education.Journal of graduate medical education · 2026
    Article
  3. Article
  4. Preparing Allergists to Practice in 2050 Using Artificial Intelligence.The journal of allergy and clinical immunology. In practice · 2025
    Review
  5. Providing effective feedback for training: Is there a role for informatics?Journal of pediatric gastroenterology and nutrition · 2025
    Article
  6. Article
  7. Observational
  8. Review
  9. Article
  10. [Precision surgical education].Revista colombiana de obstetricia y ginecologia · 2024
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Expanding the Study of Bias in Medical Education Assessment.Journal of graduate medical education · 2023
    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.

Jesse Burk-RafelDivision of Hospital Medicine, NYU Langone Health, and assistant director of Precision Medical Education, Institute for Innovations in Medical Education, NYU Grossman School of Medicine, New York, USA.ORCID 0000-0003-3785-2154
Stefanie S Sebok-SyerDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-3572-5971
Sally A SantenUniversity of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-8327-8002
Joshua JiangUniversity of California Los Angeles, Los Angeles, California. At the time of this work he was a medical student, NYU Grossman School of Medicine, New York, USA.ORCID 0000-0003-1607-7443
Holly A Caretta-WeyerDepartment of Emergency Medicine, Stanford University School of Medicine, Stanford, California, USA.ORCID 0000-0002-9783-5797
Eduardo IturrateData Core, NYU Langone Health, New York, USA.ORCID 0000-0001-6434-2518
Matthew KelleherInternal Medicine and Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-6400-1745
Eric J WarmUniversity of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0002-6088-2434
Daniel J SchumacherDepartment of Pediatrics, director of Education Research Unit, Cincinnati Children's Hospital Medical Center/ University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0001-5507-8452
Benjamin KinnearInternal Medicine and Pediatrics, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.ORCID 0000-0003-0052-4130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Competency-based medical education (CBME) is an outcomes-based approach to education and assessment that focuses on what competencies trainees need to learn in order to provide effective patient care. Despite this goal of providing quality patient care, trainees rarely receive measures of their clinical performance. This is problematic because defining a trainee's learning progression requires measuring their clinical performance. Traditional clinical performance measures (CPMs) are often met with skepticism from trainees given their poor individual-level attribution. Resident-sensitive quality measures (RSQMs) are attributable to individuals, but lack the expeditiousness needed to deliver timely feedback and can be difficult to automate at scale across programs. In this eye opener, the authors present a conceptual framework for a new type of measure - TRainee Attributable & Automatable Care Evaluations in Real-time (TRACERs) - attuned to both automation and trainee attribution as the next evolutionary step in linking education to patient care. TRACERs have five defining characteristics:

Indexed as

Education, Medical, GraduateInternship and ResidencyEducational MeasurementFeedbackHumansLearning

Identifiers

PMID37215538
PMCPMC10198229

What OpenQuestion holds

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LicenceCC BY
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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.