Building a Point of Care Ultrasound (POCUS) Curriculum in Undergraduate Medical Education Through Stepwise Development and Assessment
Why this work is in the frame
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Bibliographic record
Abstract
Background: Point of care ultrasound (POCUS) training is increasingly incorporated in undergraduate medical education (UME). However, limited resources and lack of standard guidelines lead to questions regarding the most effective curriculum and assessment method. The authors aimed to develop a longitudinal UME POCUS curriculum through staged intervention. Year 1, which involved simulation alone, led to improved confidence without adequate knowledge. The authors hypothesized that the addition of resident-led workshops alongside faculty-led lectures would improve POCUS knowledge and confidence among third-year medical students. Methods: A prospective cohort study of third-year students on the Internal Medicine (IM) clerkship at a large academic medical center was performed, assessing efficacy of stepwise POCUS curriculum development. Previously implemented year 1 involved comparing the control cohort receiving baseline POCUS education on rounds with the experimental cohort that had access to a high-fidelity POCUS simulator. The year 2 cohort added hands-on resident-led POCUS workshops. The year 3 cohort added faculty-led lectures. All cohorts completed pre- and post-intervention confidence and knowledge-based examinations. The year 1 control cohort served as a control for the current study. Results: A total of 69 and 102 students completed both pre-/post-tests among year 2 and 3 cohorts, respectively. Both cohorts demonstrated statistically significant improvement in POCUS knowledge and confidence, with greater magnitude of improvement in year 3 with overall knowledge improving from 49.9% to 66.7% on pre- to post-intervention examination (p<0.0001). Conclusion: While simulation alone was insufficient to instill knowledge, the addition of resident-led workshops and faculty-led lectures demonstrated benefits in POCUS knowledge and confidence among medical students and represents a sustainable model of training.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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