A Call for Point-of-Care Ultrasound Fellowship Training Programs for General Internal Medicine in Canada
Bibliographic record
Abstract
Point-of-care ultrasound (POCUS) offers numerous benefits and is recognized as an important competency within Internal Medicine (IM). Despite this, a significant educational gap exists, owing in large part to a lack of expertly trained faculty and structured training opportunities. A robust POCUS training program requires not only technical excellence among faculty but also leadership with expertise in program creation and administration, quality assurance, medical education, and research. A dedicated 6- to 12-month POCUS fellowship model in programs with well-established infrastructure allows for the development of these competencies and the establishment of a network of key POCUS contacts, and prepares trainees to create or expand POCUS programs at their centers. We propose that the expansion of dedicated General IM POCUS fellowships in Canada is imperative to addressing this educational bottleneck and shaping the future leaders of Canadian IM POCUS. RésuméL’échographie au point d’intervention (POCUS) offre de nombreux avantages et est considérée comme une compétence importante en médecine interne. Pourtant, il existe une lacune importante au chapitre de la formation, attribuable en grande partie au manque d’enseignants qualifiés et d’occasions de formation structurée. Un programme de formation solide sur la POCUS exige non seulement une excellence technique parmi le corps professoral, mais aussi un leadership démontrant une expertise dans la création et l’administration de programmes, l’assurance de la qualité, l’éducation médicale et la recherche. Un modèle de formation complémentaire de 6 à 12 mois consacrée à la POCUS dans des programmes dont l’infrastructure est bien établie permet d’acquérir ces compétences et d’établir un réseau de personnes-ressources clés sur la POCUS, et prépare les personnes en cours de formation à créer ou à élargir des programmes sur la POCUS dans leur centre. Nous proposons qu’il soit impératif d’élargir les formations complémentaires sur la POCUS en médecine interne générale au Canada pour remédier à ce goulot d’étranglement en matière de formation et façonner les futurs chefs de file de la POCUS en médecine interne au 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 | 0.007 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.010 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.021 | 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".