Point of Care Ultrasound (POCUS) Applications Taught Within Canadian Internal Medicine Residency Programs
Bibliographic record
Abstract
Background: Point of care ultrasound (POCUS) is an important tool for bedside diagnostics and procedures within internal medicine. In 2017 the Canadian Internal Medicine Ultrasound (CIMUS) group provided recommendations for applications to teach POCUS to internal medicine trainees. The way that training programs have implemented these recommendations has not been assessed. We aim to assess POCUS applications taught within internal medicine training programs, five years after the CIMUS group's recommendations. Methods: An anonymous survey was distributed in 2022 to POCUS leads at Canadian internal medicine residency and general internal medicine subspecialty training programs. This voluntary survey assessed which POCUS applications were being taught to trainees. Results: A total of 17 responses for the core training program and 12 responses for the subspecialty training program were collected. There was widespread uptake of the CIMUS-recommended POCUS applications within core and subspecialty level training. The compliance was higher for procedures than diagnostics. Many applications recommended at the subspecialty level were being incorporated into the core training program curriculum. Many applications that were not commented on by the CIMUS group were also incorporated into POCUS curricula. Conclusions: POCUS education within Canadian internal medicine residency programs are largely in sync with the CIMUS recommendations published in 2017. Many programs have expanded their training beyond the CIMUS group's recommendations.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".