IFEM model curriculum: emergency medicine learning outcomes for undergraduate medical education
Bibliographic record
Abstract
BACKGROUND: The International Federation for Emergency Medicine (IFEM) published its model curriculum for medical student education in emergency medicine in 2009. Because of the evolving principles of emergency medicine and medical education, driven by societal, professional, and educational developments, there was a need for an update on IFEM recommendations. The main objective of the update process was creating Intended Learning Outcomes (ILOs) and providing tier-based recommendations. METHOD: A consensus methodology combining nominal group and modified Delphi methods was used. The nominal group had 15 members representing eight countries in six regions. The process began with a review of the 2009 curriculum by IFEM Core Curriculum and Education Committee (CCEC) members, followed by a three-phase update process involving survey creation [The final survey document included 55 items in 4 sections, namely, participant & context information (16 items), intended learning outcomes (6 items), principles unique to emergency medicine (20 items), and content unique to emergency medicine (13 items)], participant selection from IFEM member countries and survey implementation, and data analysis to create the recommendations. RESULTS: Out of 112 invitees (CCEC members and IFEM member country nominees), 57 (50.9%) participants from 27 countries participated. Eighteen (31.6%) participants were from LMICs, while 39 (68.4%) were from HICs. Forty-four (77.2%) participants have been involved with medical students' emergency medicine training for more than five years in their careers, and 56 (98.2%) have been involved with medical students' training in the last five years. Thirty-five (61.4%) participants have completed a form of training in medical education. The exercise resulted in the formulation of tiered ILO recommendations. Tier 1 ILOs are recommended for all medical schools, Tier 2 ILOs are recommended for medical schools based on perceived local healthcare system needs and/or adequate resources, and Tier 3 ILOs should be considered for medical schools based on perceived local healthcare system needs and/or adequate resources. CONCLUSION: The updated IFEM ILO recommendations are designed to be applicable across diverse educational and healthcare settings. These recommendations aim to provide a clear framework for medical schools to prepare graduates with essential emergency care capabilities immediately after completing medical school. The successful distribution and implementation of these recommendations hinge on support from faculty and administrators, ensuring that future healthcare professionals are well-prepared for emergency medical care.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.042 | 0.065 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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 source (direct Gemma or distilled Codex), 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".