Entrustable professional activities in medical education and their importance
Bibliographic record
Abstract
Trust is a fundamental concept for safe and effective health care. Patients need to trust their doctors and healthcare providers need to trust each other in a healthcare system. Entrustable professional activities are units of professional performance defined as tasks or responsibilities that should be entrusted to the trainee for unsupervised performance once the trainee has achieved sufficient specific competence. Many medical professions can be described by the activities that the specialist must perform. What is important in medical education after completing the course is that these activities are performed confidently. In practice, it is reasonable to expect that most trainees will have the ability to perform all Entrustable professional activities around the time of graduation, but bright students may achieve this ability sooner. Recently, the use of Entrustable professional activities has also begun in general medical education in the United States and Canada. In other fields, other than medicine, such as nursing, veterinary medicine, and midwifery, Entrustable professional activities have been actively developed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.012 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.017 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.013 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".