Will the Scan Change the Plan? Point of Care Ultrasound for Timely Decision Making in a Rural Obstetrics and Gynecology Department
Bibliographic record
Abstract
In rural and remote hospitals, access to urgent ultrasound especially out-of-hours can pose a barrier to timely clinical decision making. Focused Assessment with Sonography for Trauma (FAST) is a common practice in emergency departments to quickly identify abnormal free fluid in trauma patients and can allow targeted, early intervention. Where intraabdominal free fluid is present in the non-trauma population, a similar technique to FAST scanning called Focused Assessment for Free Fluid (FAFF) can be a simple and time-saving tool to facilitate and escalate emergency management. A ruptured ectopic pregnancy is a common gynecology emergency that may be associated with significant intraabdominal bleeding. This bleeding may be seen on FAFF as free fluid in the pelvis or upper abdomen allowing early decision making including surgical intervention, especially where there may be a delay in attaining formal sonographic assessment. In this case report, we describe the management of ectopic pregnancy presenting in a rural emergency department where FAFF ultrasound provided the diagnostic confidence to proceed to theater when access to formal sonography was delayed. J Clin Gynecol Obstet. 2022;11(4):108-112 doi: https://doi.org/10.14740/jcgo816
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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 | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".