The Royal College Experience and Plans for the Maintenance of Certification Program
Bibliographic record
Abstract
The Royal College of Physicians and Surgeons of Canada, in 2001, implemented a mandatory maintenance of certification (MOC) program that is required for fellows to maintain membership and fellowship. Participation in the MOC program is one of the recognized pathways approved by provincial medical regulatory authorities in Canada by which specialists can demonstrate their commitment to continued competent performance in practice. This article traces the historical beginnings of the MOC program, highlighting the educational foundation and scientific evidence that influenced its philosophy, goals, and strategic priorities. The MOC program has evolved into a complex system of continuing professional development to facilitate and enable a "cultural shift'' in how we conceptualize and support the continuing professional development (CPD) of specialists. The MOC program is an educational strategy that supports a learning culture where specialists are able to design, implement and document their accomplishments from multiple learning activities to build evidence-informed practices. In the future, the MOC Program must evolve from assisting fellows to use effective educational resources "for credit" to enable fellows, leveraging a competency-based CPD model, to demonstrate their capacity to continuously improve practice. This will require innovative methods to capture learning and practice improvements in real time, integrate learning during the delivery of health care, expand automation of reporting strategies, and facilitate new sociocultural methods of emergent learning and practice change. Collectively, these directions will require a research agenda that will generate evidence for how transformative cultural change in continuing professional education of the profession can be realized.
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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 | 0.018 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".