Physicians in prehospital care: A review of the clinical and economic evidence
Bibliographic record
Abstract
Prehospital care delivery varies across different geographies. Among the starkest differences is the role of the physician in prehospital care and emergency medical services (EMS). In the ‘Anglo-American’ model, ambulances are primarily staffed by emergency medical technicians (EMTs), emergency medical responders (EMRs), and paramedics. In contrast, in the ‘Franco- German’ model, ambulances are commonly staffed by physicians. Physicians can theoretically provide superior prehospital care due to increased level of training, judgement, and competency. However, physician-staffed emergency medical services (PS-EMS) also increase the financial burden on the prehospital care system. This review paper aims to summarize, compare, and analyze the clinical and financial features of these two models in order to identify the best staffing model. The information presented in this paper can aid medical administrators in the decision-making process involved in optimizing their prehospital care delivery system.
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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 | 0.004 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.012 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".