Continuing Medical Education, Professional Development, and Requirements for Medical Licensure: A White Paper of the Conjoint Committee on Continuing Medical Education
Bibliographic record
Abstract
To provide the best care to patients, a physician must commit to lifelong learning, but continuing education and evaluation systems in the United States typically require little more than records of attendance for professional association memberships, hospital staff privileges, or reregistration of a medical license. While 61 of 68 medical and osteopathic licensing boards mandate that physicians participate in certain numbers of hours of continuing medical education (CME), 17 of them require physicians to participate in legislatively mandated topics that may have little to do with the types of patients seen by the applicant physician. Required CME should evolve from counting hours of CME participation to recognizing physician achievement in knowledge, competence and performance. State medical boards should require valid and reliable assessment of physicians' learning needs and collaborate with physician and CME communities to assure that legislatively mandated CME achieves maximal benefit for physicians and patients. To ensure the discovery and use of best practices for continuing professional development and for maintenance of competence, research in CME and physician assessment should be raised as a national priority.
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 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 | 0.067 | 0.092 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.008 |
| Scholarly communication | 0.011 | 0.006 |
| Open science | 0.006 | 0.004 |
| Research integrity | 0.043 | 0.028 |
| Insufficient payload (model declined to judge) | 0.005 | 0.005 |
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".