Minding the gap: student‐led, surgically oriented anatomy electives
Bibliographic record
Abstract
The time dedicated to teaching anatomy in the modern medical curriculum has been substantially reduced. Many anatomy programmes have adapted strategies such as the use of prosection and team-based learning (TBL) to cope with time limitations. Regardless, studies have indicated that there are deficiencies in the clinical anatomy knowledge base of medical graduates, particularly with regard to surgically relevant anatomy, which could impact patient health and safety.1 In order to bridge this knowledge gap, third-year clerkship students (M3) at our institution (featuring a representative ‘modern’, 50-hour, prosection- and TBL-based anatomy programme) developed an Advanced Surgical Anatomy Interest Group (ASAIG) elective aimed at integrating common clinical encounters (patient presentations, diagnoses and surgical interventions) and the relevant anatomy. Three sessions were developed (lower limb, upper limb and abdomen). In each 2-hour session, ASAIG M3 leaders delivered presentations, drawing from their personal clerkship experiences, and participants subsequently reviewed anatomy in small groups using cadaveric prosections. Each group included both pre-clerkship (M1, M2) and clerkship (M3) students. Small-group review was facilitated by circulating ASAIG leaders and one anatomy professor. Upon session completion, participants were surveyed for general feedback. Sixty different students (n = 22, n = 21 and n = 17 in the M1, M2 and M3 groups, respectively) attended at least one session, and 18 students (including nine M2 students) attended multiple sessions. Thirty-six survey responses were collected (n = 11, n = 19 and n = 6 for M1, M2 and M3 students, respectively). Widely cited motivations for participation included relevance to career path (24 students indicated interest in a surgical specialty), the wish to be better prepared for clerkship (n = 11), and the wish to gain clinical anatomy knowledge beyond that covered in the curriculum (n = 7). Overall, the M2 group included the largest proportion of students to note each factor as motivating. Responses given on a rating scale of 1–6 (1 = strongly disagree, 6 = strongly agree) indicated that participants agreed with the following: the sessions had improved their knowledge of surgical anatomy (mean ± standard deviation [SD] score: 5.4 ± 0.2) and better prepared them for surgical clerkship rotations (mean ± SD score: 5.1 ± 0.3); the mix of pre-clerkship and clerkship students was beneficial to their learning (mean ± SD score: 5.5 ± 0.1), and near-peer teaching created a comfortable learning environment (mean ± SD score: 5.2 ± 0.2). The majority of participants (59%) preferred having clerkship students (rather than faculty staff) lead the sessions. In response to open-ended questions, participants demonstrated particular appreciation for the integration of clinical situations with surgically oriented anatomy (n = 10) and the small-group review that promoted exposure to student perspectives not typically encountered (n = 7), especially clerkship perspectives. Suggested improvements included having more sessions (n = 11), increasing the ratio of clerkship to pre-clerkship students (n = 2), and incorporating hands-on learning of specific surgical techniques (n = 3). In summary, the didactic integration of actual clinical clerkship experiences with relevant surgical anatomy, delivered by clerks to their near-peers, resulted in a time-efficient educational elective that increased student self-perceived preparedness regarding, and helped address curricular deficiencies in, surgical anatomy knowledge. An added benefit was the facilitation of engagement between clerkship and pre-clerkship students who do not normally interact, especially in anatomy learning contexts. These benefits were most appreciated by students about to enter clerkship.
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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 | 0.000 | 0.001 |
| 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 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".