Independent Heath Facility Meets Cancer Care Ontario and Canadian Association of Gastroenterology Guidelines for Endoscopic Procedure Wait Times While Meeting Quality Indicators: A Retrospective Review
Bibliographic record
Abstract
Background: Canadian independent health facilities (IHFs) have been implemented to reduce hospital endoscopy volume and expedite endoscopic evaluations for patients suspected to have underlying colorectal cancer. Methods: We conducted a retrospective review of a prospective database at a large-volume urban IHF. The primary outcomes were wait times, and the secondary outcomes were colonoscopy quality indicators and complication rates. Results: Median wait times from referral to colonoscopy met the recommendations set out by the Canadian Association of Gastroenterology and Cancer Care Ontario for all indications: chronic abdominal pain: 43 days; new onset change in bowel habits: 36 days; bright red rectal bleeding: 42 days; documented iron-deficiency anemia: 43 days; fecal occult blood test positive: 38 days; cancer likely based on imaging or physical exam: 23 days; chronic diarrhea and chronic constipation: 42 days; and screening colonoscopies: 55 days. Secondary outcomes of quality indicators and complication rates all met or exceeded the CCO and CAG recommendations. Conclusions: This IHF met the recommended wait times for all indications for colonoscopy while maintaining high procedural quality and safety. IHFs are one solution to help meet the increasing demand for colonoscopy in Ontario.
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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 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.009 | 0.017 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".