A Time Has Come for Wilderness Emergency Medical Service: A New Direction
Bibliographic record
Abstract
In this issue of Wilderness & Environmental Medicine, an article by Warden et al 1 provides a timely overview of various specialized operational emergency medical service (EMS) programs that serve in either tactical, hazardous, or austere environments as part of the entry level medical care in the US health care system.These specialized EMS programs function in unique environments and provide, in most cases, point of injury medical care beyond what can be provided by traditional EMS agencies.These programs include classic programs in rural and wilderness settings, for example, ski patrol, water rescue, and wilderness search and rescue (SAR).More contemporary operational EMS programs that have evolved significantly in the past 10 to 20 years are tactical emergency medical services, military tactical combat casualty care (TCCC), urban search and rescue, and aviation medical support.As with all traditional EMS programs within the United States, these unique operational EMS programs should be held to the same rigorous or continuous quality improvement programs that are designed to ensure standardization of medical care.Unfortunately, not all operational EMS fall within any medical jurisdiction at the city, county, state, or national level.The point of the article by Warden et al 1 is that the role for a medical director is lacking for wilderness and operational EMS programs; and that these programs, where lacking, should have a formal role in emergency response and be formally integrated into the local and state EMS system so that training and certification standards are met and all patients receive safe, quality health care, whether it be in remote and austere settings or as it is now within our cities and communities in the United States.A classic example of this of gap of medical oversight among personnel and medical care of victims in austere settings is within SAR programs across the United States.In each state, SAR activities are conducted by individual agencies, for example, law enforcement, fire and rescue personnel, state-recognized SAR teams, or organized solely by community volunteers or by a combination of these resources.In other states, there is a state SAR coordinator within the government that oversees policies that mandate education, training, and adminis-
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.016 | 0.021 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.019 | 0.036 |
| Insufficient payload (model declined to judge) | 0.019 | 0.007 |
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".