Emergency radiology in Canada: a national survey.
Bibliographic record
Abstract
OBJECTIVE: To document the existing radiology services available to emergency physicians in hospitals across Canada and to preview future trends and needs. METHODS: Questionnaires (n = 130) regarding the type, availability and satisfaction with radiology services were distributed to radiologists and emergency physicians at 65 hospitals across Canada. RESULTS: Fifty-three (41%) questionnaires were returned, and 45 (35%) completed questionnaires from 35 hospitals were used for analysis (24 from radiologists and 21 from emergency physicians). Plain radiographs were available in all hospitals at all times. Ultrasonography, intravenous pyleograms and computed tomography (CT) were available in all departments during normal working hours; after hours, CT was unavailable in 1 hospital and ultrasonography was unavailable in 2. Focused assessment with sonography for trauma (FAST) was routinely performed for blunt abdominal trauma in 6 centres, and 10 centres had teleradiology services. Regarding the quality of emergency service, 7 of 45 responded "poor," 4 "average," 14 "good," and 17 of 45 rated service "excellent." Interestingly, most radiologists answered "good" or "excellent," and most of the "poor" responses came from emergency physicians. Regarding staff coverage after 5 pm, 34 hospitals provided CT services, 20 had ultrasonography staff available, and there was radiology nursing coverage in 14 hospitals. Clinical details on requisitions were generally rated "adequate" or "poor." Although most radiograph reports were available within 48 hours, some took longer. Hot-seat reporting was available in 11 centres. During normal working hours, radiologists were the first to read films in 5 of 35 hospitals. After hours, emergency physicians were the first to read films in all hospitals, but only 14 hospitals indicated they were "formally" trained to do so. CONCLUSION: This survey documents the strengths and weaknesses of the radiology services available to emergency physicians. The perceptions of emergency physicians and radiologists of the adequacy those services differ significantly.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".