Integrating Clinical Medicine with the Basic Sciences: Musculoskeletal System Cadaver‐Based Learning Module for Medical Students
Bibliographic record
Abstract
In undergraduate medical education, there has traditionally been a focus on the basic sciences, cornerstones of which include anatomy and clinical skills. However, there is concern among some practicing clinicians that the pre‐clinical knowledge of medical students in anatomy and clinical skills could be improved to allow for safer and more effective medical practice. Clinical skills education often draws on the anatomy that students learn in the anatomy lab, and both topics are often studied in parallel. However, the anatomy curriculum seldom underscores the relevance of anatomical features and their direct correlations with clinical skills and examination techniques. As such, we hypothesize that by developing an online module which employs cadaver‐based teaching of anatomy with enhanced context provided by clinical skills cases and examinations, students will achieve a better appreciation and understanding of the underlying anatomical pathology that is often manifested clinically, and that this will facilitate their overall learning of anatomy. Accordingly, an online module was developed for 2 nd year UBC medical students which focused on the lower limb musculoskeletal anatomy, as well as the pertinent clinical tests. Overall, 101 students provided feedback and 95% expressed that the module had successfully enabled them to better consider the correlation between anatomy and clinical skills. We conclude that cadaver‐based modules are effective for reviewing the anatomy content and the integration of clinical relevance further facilitates this process, while also bridging the gap between these two domains.
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How this classification was reachedexpand
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 | 0.010 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".