A call to action: The controversy of and rationale for competency-based medical education
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
Although medical education has enjoyed many successes over the last century, there is a recognition that health care is too often unsafe and of poor quality. Errors in diagnosis and treatment, communication breakdowns, poor care coordination, inappropriate use of tests and procedures, and dysfunctional collaboration harm patients and families around the world. These issues reflect on our current model of medical education and raise the question: Are physicians being adequately prepared for twenty-first century practice? Multiple reports have concluded the answer is "no." Concurrent with this concern is an increasing interest in competency-based medical education (CBME) as an approach to help reform medical education. The principles of CBME are grounded in providing better and safer care. As interest in CBME has increased, so have criticisms of the movement. This article summarizes and addresses objections and challenges related to CBME. These can provide valuable feedback to improve CBME implementation and avoid pitfalls. We strongly believe medical education reform should not be reduced to an "either/or" approach, but should blend theories and approaches to suit the needs and resources of the populations served. The incorporation of milestones and entrustable professional activities within existing competency frameworks speaks to the dynamic evolution of CBME, which should not be viewed as a fixed doctrine, but rather as a set of evolving concepts, principles, tools, and approaches that can enable important reforms in medical education that, in turn, enable the best outcomes for patients.
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 | 0.027 |
| 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) | 0.002 | 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