Toward Defining the Foundation of the MD Degree: Core Entrustable Professional Activities for Entering Residency
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Currently, no standard defines the clinical skills that medical students must demonstrate upon graduation. The Liaison Committee on Medical Education bases its standards on required subject matter and student experiences rather than on observable educational outcomes. The absence of such established outcomes for MD graduates contributes to the gap between program directors' expectations and new residents' performance.In response, in 2013, the Association of American Medical Colleges convened a panel of experts from undergraduate and graduate medical education to define the professional activities that every resident should be able to do without direct supervision on day one of residency, regardless of specialty. Using a conceptual framework of entrustable professional activities (EPAs), this Drafting Panel reviewed the literature and sought input from the health professions education community. The result of this process was the publication of 13 core EPAs for entering residency in 2014. Each EPA includes a description, a list of key functions, links to critical competencies and milestones, and narrative descriptions of expected behaviors and clinical vignettes for both novice learners and learners ready for entrustment.The medical education community has already begun to develop the curricula, assessment tools, faculty development resources, and pathways to entrustment for each of the 13 EPAs. Adoption of these core EPAs could significantly narrow the gap between program directors' expectations and new residents' performance, enhancing patient safety and increasing residents', educators', and patients' confidence in the care these learners provide in the first months of their residency training.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it