TRainee Attributable & Automatable Care Evaluations in Real-time (TRACERs): A Scalable Approach for Linking Education to Patient Care.
Journal
Perspectives on medical education
ISSN: 2212-277X
Titre abrégé: Perspect Med Educ
Pays: Netherlands
ID NLM: 101590643
Informations de publication
Date de publication:
2023
2023
Historique:
received:
15
04
2023
accepted:
30
04
2023
medline:
24
5
2023
pubmed:
22
5
2023
entrez:
22
5
2023
Statut:
epublish
Résumé
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:
Identifiants
pubmed: 37215538
doi: 10.5334/pme.1013
pmc: PMC10198229
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
149-159Informations de copyright
Copyright: © 2023 The Author(s).
Déclaration de conflit d'intérêts
The authors have no competing interests to declare.
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