Assessment of the Intrinsic CanMEDS Roles in Diagnostic Radiology Residents using an Objective Structured Clinical Assessment (OSCE)
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
<ns4:p>This article was migrated. The article was not marked as recommended. Purpose: Non-Medical Expert or Intrinsic CanMEDS Roles, as outlined by the Royal College of Physicians and Surgeons of Canada, can be difficult to evaluate in an objective and specialty-specific manner. This study investigates an Objective Structured Clinical Examination (OSCE) evaluation tool to assess these competencies for Diagnostic Radiology Residents. Methods: A five station CanMEDS OSCE was developed for postgraduate year 3 and 4 Residents to evaluate the Communicator, Collaborator, Manager, Health Advocate, Scholar and Professional Roles. Performance was assessed by postgraduate year 5 Residents using standardized scoring rubrics. CanMEDS OSCE scores were correlated with American College of Radiology (ACR) scores and Medical Expert OSCEs. Results: Seventy Residents in three separate cohorts (n=21, 26, 23) participated in the CanMEDS OSCE. Mean station scores were consistent across cohorts. In general, one-way ANOVAs showed no effect of postgraduate year on station scores. There were no significant correlations between CanMEDS OSCE scores and ACR exam scores or CanMEDS OSCE scores and Medical Expert OSCE scores, demonstrating divergent construct validity. In turn, this indicates construct validity for the CanMEDS OSCE by demonstrating that unique competencies are being measured. In contrast, there was a correlation between ACR exam scores and Medical Expert OSCE scores, confirming that these both assess the same construct. Conclusions: An OSCE can be a useful assessment tool to assess Intrinsic CanMEDS Roles in a specialty-specific manner. Correlational analyses indicate that unique competencies are being evaluated that are not captured by other traditional assessment means.</ns4:p>
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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 | 0.002 | 0.006 |
| 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) | 0.000 | 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