Three-Year MD Programs: Perspectives From the Consortium of Accelerated Medical Pathway Programs (CAMPP)
Bibliographic record
Abstract
In the last decade, there has been renewed interest in three-year MD pathway programs. In 2015, with support from the Josiah Macy Jr., Foundation, eight North American medical schools with three-year accelerated medical pathway programs formed the Consortium of Accelerated Medical Pathway Programs (CAMPP). The schools are two campuses of the Medical College of Wisconsin; McMaster University Michael G. DeGroote School of Medicine; Mercer University School of Medicine; New York University School of Medicine; Penn State College of Medicine; Texas Tech University Health Sciences Center School of Medicine; University of California, Davis School of Medicine; and University of Louisville School of Medicine. These programs vary in size and medical specialty focus but all include the reduction of student debt from savings in tuition costs. Each school's mission to create a three-year pathway program differs; common themes include the ability to train physicians to practice in underserved areas or to allow students for whom the choice of specialty is known to progress more quickly. Compared with McMaster, these programs are small, but most capitalize on training and assessing competency across the undergraduate medical education-graduate medical education continuum and include conditional acceptance into an affiliated residency program. This article includes an overview of each CAMPP school with attention to admissions, curriculum, financial support, and regulatory challenges associated with the design of an accelerated pathway program. These programs are relatively new, with a small number of graduates; this article outlines opportunities and challenges for schools considering the development of accelerated programs.
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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 | 0.002 | 0.010 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".