„WeiterbildungPLUS“: eLogbuch, Entrustable Professional Activities & Co.
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
The transformation of time-bound and procedure-oriented specialist medical postgraduate training towards a competency-based approach (competency-based medical education, CBME) has been demanded for several years. Many frameworks, like the CANMEDs (Canadian Medical Education Directives for Specialists) describe competencies that should be acquired by each physician. In Germany, the medical council has recently obligated a competency-based postgraduate training. Although the idea of CBME emphasizes the learning process at the working place, CBME has also been criticized to be too theoretical and detached from the clinical working practice. To close this gap, the concept of Entrustable Professional Activities (EPA) has been introduced. An EPA describes concrete clinical tasks that are successively entrusted to the trainee. The decision to entrust a task is supported by the sum of workplace-based assessments.Sustainable implementation of competency-based training requires close collaboration among all involved individuals and institutions. Furthermore, continuous feedback and open dialogue are crucial for identifying challenges and areas for improvement. The success of CBME hinges on the collective effort of all stakeholders to create a framework to enhance specialty training and an overall advancement in the field. This cooperative approach is essential to successfully translate the theoretical foundations of competency-based teaching into clinical practice and ensure high-quality specialty 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 | 0.007 | 0.007 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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