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Record W6982254986

How can Entrustable Professional Activities serve the quality of health care provision through licensing and certification?

2022· article· en· W6982254986 on OpenAlexaboutno aff

Bibliographic record

VenueUtrecht University Repository (Utrecht University) · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMartial Arts: Techniques, Psychology, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationCertificationCompetence (human resources)Scope (computer science)LicensureLicensePortfolioScope of practice
DOInot available

Abstract

fetched live from OpenAlex

This paper about Entrustable Professional Activities (EPAs) was solicited to support the discussion about the future of licensing within the Medical Council of Canada. EPAs, units of professional practice to be entrusted to learners or professionals once they have shown to possess sufficient competence, were proposed in 2005 to operationalize competency-based postgraduate medical education and have become widely popular for various health professions education programs in many countries.EPAs break the breadth of competence for license down to units of practice that can be overseen,assessed, monitored, documented, and entrusted. EPAs together may constitute an individual's portfolio of qualifications, and define a scope of practice. A medical license and a specialty certification can then be defined as the required combination of EPAs for which one is qualified at any specific moment in time. That 'snapshot' could change over time and reflect the professional development of the individual, both in their competence and in their privileges to practice. Micro-credentialing and digital badges might become an adequate option to show-case one's scope of practice at any time and operationalize the idea of a dynamic portfolio of EPAs.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.418
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.041
GPT teacher head0.306
Teacher spread0.265 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes1
Has abstractyes

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