Fourth-Year Medical School Course Load and Success as a Medical Intern
Bibliographic record
Abstract
BACKGROUND: The fourth year of medical school has come under recent scrutiny for its lack of structure, cost- and time-effectiveness, and quality of education it provides. Some have advocated for increasing clinical burden in the fourth year, while others have suggested it be abolished. OBJECTIVE: To assess the relationship between fourth-year course load and success during internship. METHODS: We reviewed transcripts of 78 internal medicine interns from 2011-2013 and compared the number of intensive courses (defined as subinternships, intensive care, surgical clerkships, and emergency medicine rotations) with multi-source performance evaluations from the internship. We assessed relative risk (RR) and 95% confidence interval (CI) of achieving excellent scores according to the number of intensive courses taken, using generalized estimating equations, adjusting for demographics, US Medical Licensing Examination (USMLE) Step 1 board scores, and other measures of medical school performance. RESULTS: = .03). An association of intensive course work with increased risk of excellent performance was seen across multiple clinical competencies, including medical knowledge (RR 1.08, 95% CI 1.04-1.11); patient care (RR 1.07, 95% CI 1.04-1.10); and practice-based learning (RR 1.05, 95% CI 1.03-1.09). CONCLUSIONS: For this single institution's cohort of medical interns, increased exposure to intensive course work during the fourth year of medical school was associated with better clinical evaluations during internship.
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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 | 0.006 | 0.110 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 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".