Recognition of the Triage Committee for the 2024 CTAS Guideline Update
Bibliographic record
Abstract
There has been so much happening behind the scenes andthis is such an exciting time for Triage in Canada! We, atthe National Emergency Nurses Association (NENA),are so excited for the release of the updated 2024 CanadianTriage and Acuity Scale (CTAS) Guidelines in February ofthis year. This long-anticipated update reflects hundreds of hours of work invested by members of the NENA Triage Committee and reflects a significant advancement in the standardization and quality of emergency care. Since its initial implementation, CTAS has served as a cornerstone in emergency department triage, ensuring that patients are assessed quickly and consistently according to the severity of their condition. In this revision, presenting complaints have been refined to reflect better the current practice and growing complexity of patient populations, including more nuanced definitions of mental health crises and substance use presentations. A new and enhanced electronic decision-making-support tool that aligns with current evidence and incorporates the new modifiers has been developed. Importantly, the 2024 CTAS guidelines emphasize culturalsafety, equity, and trauma-informed approaches—an essential step toward reducing systemic biases and promoting a more inclusive health care environment for all Canadians. This update could not come at a more critical time. With emergency departments often serving as the front door to the health system, and as providers continue to manage surges in demand, accurate triage remains a vital determinant of both individual outcomes and system efficiency. We commend the National Emergency Nurses Association(NENA) Triage Committee for their vision, hard work anddiligence in completing this revision. The NENA Board ofDirectors would like to recognize the NENA Triage Committee consisting of Joy McCarron (Chair), Jennifer Cameron, Kristen MacKenzie, Kaitlynn Kylie, Tammy Nelson, and Pierre-Luc Tremblay, as well as Leanne Norrena, CTAS National Advisory Committee, for the phenomenal amount of work and hours that was put into these updates. Their work ensures that CTAS remains not only clinically relevant, but also a powerful tool for improving the safety, flow, and fairness of emergency care delivery nationwide. The 2024 CTAS update is a reaffirmation of our shared values in emergency medicine: clinical excellence, compassion, and a relentless pursuit of better outcomes for our patients. We, at NENA, would like to extend a heartfelt THANK YOU to the members of the triage committee for their countless hours of hard work, late nights, and inspiring levels of dedication in launching a successful CTAS 2024 update!
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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 | 0.082 | 0.258 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.006 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.012 | 0.007 |
| Open science | 0.008 | 0.007 |
| Research integrity | 0.032 | 0.027 |
| Insufficient payload (model declined to judge) | 0.013 | 0.013 |
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".