QUALITY IMPROVEMENTS- EVALUATION OF KEY PERFORMANCE INDICATORS FOR STROKE STUDIES CONDUCTED AT A LARGE TEACHING HOSPITAL OVER 3 YEARS
Bibliographic record
Abstract
The Hamilton General Hospital is a regional stroke centre located in Ontario, Canada which services 2.2 million Canadians over 11, 945 km2. Over the past 5 years, our stroke research program has undergone a rapid increase in clinical research activities across the continuum of stroke care from hyper acute stroke to rehabilitation. The research team has expanded to include seven research coordinators/nurses with diverse clinical research skillsets. After this period of rapid expansion we undertook a quality improvement (QI) process to evaluate our performance across key quality indicators. Through evaluating studies conducted over the past three years, we identified studies that over-achieved in these important measures of quality. We aimed to identify the underlying factors driving these achievements so that we may integrate these measures into all future studies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".