Unité de Coordination Clinique des Services Préhospitaliers d’Urgence: A clinical telemedicine platform that improves prehospital and community health care for rural citizens
Bibliographic record
Abstract
Access to health care in Canada's rural areas is a challenge. The Unité de Coordination Clinique des Services Préhospitaliers d'Urgence (UCCSPU) is a telemedicine program designed to improve health care in the Chaudiere-Appalaches and Quebec City regions of Canada. Remote medical services are provided by nurses and by an emergency physician based in a clinical unit at the Alphonse-Desjardins Community Health and Social Services Center. The interventions were developed to meet two objectives. The first is to enhance access to quality health care. To this end, Basic Life Support paramedics and nurses were taught interventions outside of their field of expertise. Prehospital electrocardiograms were used to remotely diagnose ST segment elevation myocardial infarction and to monitor patients who were en route by ambulance to the nearest catheterization facility or emergency department. Basic Life Support paramedics received extended medical authorization that allowed them to provide opioid analgesia via telemedicine physician orders. Nurses from community health centres without physician coverage were able to request medical assistance via a video telemedicine system. The second objective is to optimize medical resources. To this end, remote death certifications were implemented to avoid unnecessary transport of deceased persons to hospitals. This paper presents the telemedicine program and some results.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".