Education Indicators for Internal Medicine Point-of-Care Ultrasound: a Consensus Report from the Canadian Internal Medicine Ultrasound (CIMUS) Group
Bibliographic record
Abstract
BACKGROUND: Curriculum development and implementation for internal medicine point-of-care ultrasound (IM POCUS) continues to be a challenge for many residency training programs. Education indicators may provide a useful framework to support curriculum development and implementation efforts across programs in order to achieve a consistent high-quality educational experience. OBJECTIVE: This study seeks to establish consensus-based recommendations for education indicators for IM POCUS training programs in Canada. DESIGN: This consensus study uses a modified nominal group technique for voting in the initial round, followed by two additional rounds of online voting, with consensus defined as agreement by at least 80% of the participants. PARTICIPANTS: Participants were 22 leaders with POCUS and/or education expertise from 13 Canadian internal medicine residency programs across 7 provinces. MAIN MEASURES: Education indicators considered were those that related to aspects of the POCUS educational system, could be presented by a single statistical measure, were readily understood, could be reliably measured to provide a benchmark for measuring change, and represented a policy issue. We excluded a priori indicators with low feasibility, are impractical, or assess learner reactions. Candidate indicators were drafted by two academic internists with post-graduate training in POCUS and medical education. These indicators were reviewed by two internists with training in quality improvement prior to presentation to the expert participants. KEY RESULTS: Of the 52 candidate education indicators considered, 6 reached consensus in the first round, 12 in the second, and 4 in the third round. Only 5 indicators reached consensus to be excluded; the remaining indicators did not reach consensus. CONCLUSIONS: The Canadian Internal Medicine Ultrasound (CIMUS) group recommends 22 education indicators be used to guide and monitor internal medicine POCUS curriculum development efforts in Canada.
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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 | 0.169 | 0.182 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.007 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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 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".