Erie Shores HealthCare’s Experiences and Perceptions of the Critical Care Outreach Team
Bibliographic record
Abstract
Critical Care Outreach Teams (CCOT) have been implemented globally to recognize early signs of patient deterioration and enhance critical care management. Erie Shores Healthcare (ESHC), a rural 72-bed hospital located in Leamington, Ontario, has faced challenges in managing an increasing volume of complex patients, particularly in identifying clinical deterioration in a timely manner. In response, the research team developed a daytime intensivist-led and nighttime RN-led CCOT program to improve early recognition and timely interventions. Data from a NoMAD questionnaire and a retrospective chart audit revealed a positive perception of CCOT among nursing staff, especially in preventing unnecessary ICU transfers. The intervention also significantly reduced the time from initial deterioration signs to key care points, with the nighttime RN-led program demonstrating greater efficiency. These encouraging results, coupled with a forthcoming quantitative study, indicate a strong need to extend CCOT services to 24/7 coverage at ESHC.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".