Facilitating Residents' Understanding of Electronic Health Record Report Card Data Using Faculty Feedback and Coaching.


Journal

Academic medicine : journal of the Association of American Medical Colleges
ISSN: 1938-808X
Titre abrégé: Acad Med
Pays: United States
ID NLM: 8904605

Informations de publication

Date de publication:
01 11 2022
Historique:
pubmed: 11 8 2022
medline: 29 10 2022
entrez: 10 8 2022
Statut: ppublish

Résumé

Feedback continues to present a challenge for competency-based medical education. Clear, consistent, and credible feedback is vital to supporting one's ongoing development, yet it can be difficult to gather clinical performance data about residents. This study sought to determine whether providing residents with electronic health record (EHR)-based report cards, as well as an opportunity to discuss these data with faculty trained using the R2C2 model, can help residents understand and interpret their clinical performance metrics. Using action research methodology, the author team collected EHR data from July 2017 to February 2020, for all residents (n = 21) in one 5-year Emergency Medicine program and created personalized report cards for each resident. During October 6-17, 2020, 8 out of 17 eligible residents agreed to have their feedback conversations recorded and participate in a subsequent interview with a nonphysician member of the research team. Data were analyzed using thematic analysis, and the authors used inductive analysis to identify themes in the data. In analyzing both the feedback conversations as well as the individual interviews with faculty and residents, the authors identified 2 main themes: (1) Reactions and responses to receiving personalized EHR data and (2) The value of EHR data for assessment and feedback purposes. All participants believed that EHR data metrics are useful for prompting self-reflection, and many pointed to their utility in providing suggestions for actionable changes in their clinical practice. For faculty, having a tool through which underperforming residents can be shown "objective" data about their clinical performance helps underscore the need for improvement, particularly when residents are resistant. The EHR is a valuable source of educational data, and this study demonstrates one of the many thoughtful ways it can be used for assessment and feedback purposes.

Identifiants

pubmed: 35947480
doi: 10.1097/ACM.0000000000004900
pii: 00001888-202211001-00008
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

S22-S28

Informations de copyright

Copyright © 2022 by the Association of American Medical Colleges.

Références

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Auteurs

Stefanie S Sebok-Syer (SS)

S.S. Sebok-Syer is assistant professor, Department of Emergency Medicine, Stanford University School of Medicine, Palo Alto, California; ORCID: http://orcid.org/0000-0002-3572-5971 .

Jennifer M Shaw (JM)

J.M. Shaw is research associate, Centre for Education, Research, and Innovation, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada.

Robert Sedran (R)

R. Sedran is associate professor, Division of Emergency Medicine, Schulich School of Medicine and Dentistry, London, Ontario, Canada.

Lisa Shepherd (L)

L. Shepherd is professor, Division of Emergency Medicine, Schulich School of Medicine and Dentistry, London, Ontario, Canada.

Allison McConnell (A)

A. McConnell is assistant professor, Division of Emergency Medicine, Schulich School of Medicine and Dentistry, London, Ontario, Canada.

Adam M Dukelow (AM)

A.M. Dukelow is associate professor, Division of Emergency Medicine, Schulich School of Medicine and Dentistry, London, Ontario, Canada.

Mark D Syer (MD)

M.D. Syer is an affiliate, School of Computing, Queen's University, Kingston, Ontario, Canada.

Lorelei Lingard (L)

L. Lingard is professor, Department of Medicine and Faculty of Education, and senior scientist, Centre for Education, Research, and Innovation, Schulich School of Medicine and Dentistry, Western University, London, Ontario, Canada; ORCID: http://orcid.org/0000-0002-1524-0723 .

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