Continuing medical education and continuing professional development: international comparisons
Bibliographic record
Abstract
Editorials by du Boulay and Asbjorn Holm Continuing professional development is the process by which health professionals keep updated to meet the needs of patients, the health service, and their own professional development. It includes the continuous acquisition of new knowledge, skills, and attitudes to enable competent practice. There is no sharp division between continuing medical education and continuing professional development, as during the past decade continuing medical education has come to include managerial, social, and personal skills, topics beyond the traditional clinical medical subjects. The term continuing professional development acknowledges not only the wide ranging competences needed to practise high quality medicine but also the multidisciplinary context of patient care. #### Summary points Internationally there is a move from continuing medical education (or clinical update) to continuing professional development, including medical, managerial, social, and personal skills Continuing professional development is a process of lifelong learning in practice Although the international systems vary in detail, there are many common features of content and process that allow international mutual recognition of activities in professional development Most systems are based on an hours related credit system Where revalidation or recertification of practitioners is required, demonstration of continuing professional development is an important integral part of the process We obtained information from an assessment of the relevant policies, and interviews with directors of continuing professional development of the UK medical royal colleges, the UK Joint Centre for Education in Medicine, the European Union of Medical Specialties, the Royal College of Physicians and Surgeons of Canada, the American Medical Association and other American specialty societies, and the US Accreditation Committee for Continuing Medical Education. We also assessed research by the Australian and New Zealand Committee for the Maintenance of Professional Standards. Although there are wide variations across systems for professional development in different countries and healthcare systems, …
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 | 0.029 | 0.110 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.015 | 0.020 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.019 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".