An internal medicine residency preparatory curriculum for fourth‐year medical students
Bibliographic record
Abstract
BACKGROUND: Intern preparation courses are often broad in scope; there are few published specialty-specific programs outside of General Surgery and Obstetrics. We designed an internal medicine (IM) residency preparatory course at the University of Maryland School of Medicine, which aimed to prepare graduating medical students for the rigours of IM residency training, mapped to Entrustable Professional Activities (EPAs). METHODS: Fourteen fourth-year medical students who were matriculating into IM residency programs enrolled in a 4-week long residency preparation course. The course was designed to teach skills using case-based learning modules, specialty topic seminars, simulation laboratories, procedure laboratories and clinical practice. Participants were surveyed before and after the course on their perceived knowledge and ability with the skills tested. RESULTS: With the exception of 'giving signout to a colleague', there was a significant difference in the participant's perceived ability for each skill taught within the course (P < 0.03 for each), with mean pre-course scores of 1.4-3.7 (SD = 0.5-1.2) and mean post-course scores of 3.2-4.2 (SD = 0.5-1.3). A second survey on course evaluation and perceived impact, completed 3 months after starting intern year, resulted in all respondents reporting that the information learned during the course had directly affected their care of patients on a daily or weekly basis. The modified Ottawa scale was the primary assessment means for the EPAs, with participants approaching entrustment at the conclusion of the course. CONCLUSIONS: Implementation of an IM-specific residency preparation course is a useful adjunct in the fourth year of medical school.
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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 | 0.013 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".