The Road to Improving Access to Surgical Specialist Consultations: Ontario’s Experience with Wait 1 Wait Time Data
Bibliographic record
Abstract
In 2009, the Ontario Ministry of Health and Long-Term Care engaged Cancer Care Ontario to expand the Wait Time Information System to capture surgical consultation data (Wait 1). Over the years, an increasing number of patient and provider reports have shown that Wait 1 wait times account for a significant portion of the total wait time for surgery. With data published online by the ministry in late summer 2017, patients were given access to consultation wait time information for over 200 types of procedures at 92 surgical facilities in Ontario. This article explains how a highly focused data strategy, strong stakeholder and clinical expert support and a comprehensive communications strategy were critical to driving change for a large-scale provincial initiative, which is helping to drive better access for patients and improve transparency and accountability.
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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 | 0.094 | 0.188 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.014 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.011 | 0.008 |
| Open science | 0.004 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.004 | 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".