A randomized, controlled, blinded evaluation of augmenting point-of-care ultrasound and remote telementored ultrasound in inexperienced operators.
Bibliographic record
Abstract
BACKGROUND: Handheld ultrasound devices present an opportunity for prehospital sonographic assessment of trauma, even in the hands of novice operators commonly found in military, maritime, or other austere environments. However, the reliability of such point-of-care ultrasound (POCUS) examinations by novices is rightly questioned. A common strategy being examined to mitigate this reliability gap is remote mentoring by an expert. OBJECTIVES: To assess the feasibility of utilizing POCUS in the hands of novice military or civilian emergency medicine service (EMS) providers, with and without the use of telementoring. To assess the mitigating or exacerbating effect telementoring may have on operator stress. METHODS: Thirty-seven inexperienced physicians and EMTs serving as first responders in military or civilian EMS were randomized to receive or not receive telementoring during three POCUS trials: live model, Simbionix trainer, and jugular phantom. Salivary cortisol was obtained before and after the trial. Heart rate variability monitoring was performed throughout the trial. RESULTS: There were no significant differences in clinical performance between the two groups. Iatrogenic complications of jugular venous catheterization were reduced by 26% in the telementored group (P < 0.001). Salivary cortisol levels dropped by 39% (P < 0.001) in the telementored group. Heart rate variability data also suggested mitigation of stress. CONCLUSIONS: Telementoring of POCUS tasks was not found to improve performance by novices, but findings suggest that it may mitigate caregiver stress.
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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 | 0.008 | 0.016 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".