Implementation of a Longitudinal POCUS Curriculum in the Core Internal Medicine Residency Program at Dalhousie University
Bibliographic record
Abstract
Background Point-of-care ultrasound (POCUS) has become a useful diagnostic tool across multiple specialties. However, no standardized curriculum is currently in place for Canadian Internal Medicine (IM) residency programs. This report aims to describe the development of a longitudinal POCUS curriculum at Dalhousie University and reports on resident knowledge, confidence, and perceived clinical utility of POCUS also. Methods Residents in the core IM program were invited to complete a POCUS survey and knowledge test in December 2019. The survey evaluated self-reported confidence in acquired POCUS skills and clinical use in practice, whereas the knowledge test evaluated image interpretation skills. Results A total of 34/45 (75.6%) residents participated, who agreed that POCUS training should be a formal component of residency (4.56 ± 0.56). Scores on the knowledge test improved based on time spent in the curriculum, with postgraduate year (PGY) 1s scoring an average of 70.0% (21/30) and PGY3s 82.8% (24.9/30; P = 0.02). Residents reported the strongest confidence in lung imaging for detecting A and B lines (4.10 ± 0.79), pleural effusions (3.92 ± 0.90), and lung sliding (3.89 ± 0.92). Conclusion Dalhousie University is among the first IM programs in Canada to implement a formal longitudinal POCUS curriculum, which has enabled the incremental acquisition of POCUS knowledge, confidence, and clinical utility amongst residents.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".