Development and implementation of a novel, mandatory competency-based medical education simulation program for pediatric emergency medicine faculty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Maintaining acute care physician competence is critically important. Current maintenance of certification (MOC) programs has started to incorporate simulation-based education (SBE). However, competency expectations have not been defined. This article describes the development of a mandatory annual SBE, competency-based simulation program for technical and resuscitation skills for pediatric emergency medicine (PEM) physicians. METHODS: The competency-based medical education (CBME) program was introduced in 2016. Procedural skill requirements were based on a needs assessment derived from Royal College PEM training guidelines. Resuscitation scenarios were modified versions of pre-existing in-situ mock codes or critical incident cases. All full-time faculty were required to participate annually in both sessions. Delivery of educational content included a flipped classroom website, deliberate practice, and stop-pause debriefing. All stations required competency checklists and global rating scales. RESULTS: Between 2016 and 2018, 40 physicians and 48 registered nurses attended these courses. Overall course evaluations in 2018 were 4.92/5 and 4.93/5. Barriers to implementation include the need for many simulation education experts, time commitment, and clinical scheduling during course events. CONCLUSION: We have developed a mandatory simulation-based, technical, and resuscitation CBME program for PEM faculty. This simulation-based CBME program could be adapted to other acute care disciplines. Further research is required to determine if these skills are enhanced both in a simulated and real environment and if there is an impact on patient outcomes.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it