Car Accidents After Ambulatory Surgery in Patients Without an Escort
Bibliographic record
Abstract
In Brief Occasionally, ambulatory surgical patients present without an escort for their procedure. This creates a dilemma for caregivers, and allowing patients to drive may have an impact on their safety. The Canadian Medical Protective Association is a mutual defense organization for 95% of Canadian physicians. The national database is a unique and extensive repository of medico-legal data. We scanned this database for malpractice patients who were discharged after an ambulatory surgery procedure and allowed to drive home with a poor outcome. From this database, two malpractice cases of patients who were discharged without an escort after an ambulatory surgical procedure were reported. Both had a car accident and sustained serious injuries. Based on this we do not recommend discharge without an escort after general anesthesia, regional anesthesia, monitored anesthesia or sedation. Driving after ambulatory surgery cannot be considered safe and caregivers need to verify a safe ride home. IMPLICATIONS: We describe two cases in which a patient without an escort was discharged after an ambulatory surgical procedure and while driving themselves home were involved in a motor vehicle accident. Discharge without an escort after anesthesia or sedation is not recommended and appropriate arrangements to transport the patient home are needed.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".