A Retrospective Proof-of-Concept Study of the Impact of Point of Care Ultrasound During Short-Term Surgical Missions
Bibliographic record
Abstract
Point of care ultrasound (POCUS)-use during short-term surgical missions (STSMs) to resource-limited settings has not been well studied. We conducted a retrospective analysis of POCUS use during the perioperative course of patients undergoing definitive surgical treatment over the course of two STSMs. A total of 58 perioperative POCUS exams were performed by emergency physicians on our team. Operative findings correlated with POCUS results in 90% of cases that underwent surgery, while surgery was deferred based on POCUS findings in 33% of scans. Our findings suggest that POCUS is a portable, rapid and cost-effective modality that can be used in a focused manner in the perioperative period. Specifically, our inter-disciplinary experience and results demonstrate that POCUS-use has a positive impact on patient safety and quality, and optimizes the use of valuable resources and time.
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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 | 0.017 | 0.032 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".