Internal Medicine Residency Program in Iran: Exclusive Features and an International Comparison
Bibliographic record
Abstract
Background: Internal Medicine (IM) is one of the main medical specialties. In this paper, the features of the Iranian IM residency training program, duties and salary were evaluated and compared with some countries. Methods: Using the Iranian Ministry of Health and Medical Education (IMHME) directive, the features of educational curriculum, compulsory working hours, duties and salary were extracted and compared with some countries whose full details were available. Results: The annual capacity of IM residency admission in Iran is about 280 residents in 34 countrywide medical universities. The training curriculum of IM is designed uniformly for all universities by IMHME and is consisted of a 4-year training of gastroenterology, endocrinology, nephrology, pulmonary, hematology and rheumatology plus cardiology, neurology, intensive care, emergency medicine, radiology and dermatology in hospital departments and continuity clinics. Residency training period in Iran is similar to Turkey and Canada and is shorter than most European countries. Average weekly working hours for IM residents is 84 hours in Iran, which is higher than Turkey European countries, Canada and the USA. Two to eight years of medical service in underserved areas have been assigned for Iranian graduates of IM residency before receiving certification for working in larger cities. Conclusion: Residency training in each country is affected by different factors such as economic status, work force, national health priorities and available facilities. Training of residents with more knowledge and skills that did not bear remarkable job burnout during their training period is a challenging goal for medical education policymakers
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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 | 0.001 | 0.002 |
| 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 | 0.001 | 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".