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The Canadian Triage and Acuity Scale: A Canadian perspective on emergency department triage

2003· article· en· W2007141419 on OpenAlexaffabout
Michael J. Murray

Bibliographic record

VenueEmergency Medicine · 2003
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsMcMaster UniversityRoyal Victoria Regional Health Centre
Fundersnot available
KeywordsTriageEmergency departmentMedicineMedical emergencyWorkloadScale (ratio)Inter-rater reliabilityEmergency medicineNursingRating scalePsychologyManagement

Abstract

fetched live from OpenAlex

The Canadian Triage and Acuity Scale has received widespread acceptance in Canada as a reliable and valid tool for emergency department triage. The importance of accurate triage becomes more apparent as emergency department volumes increase, and resources shrink. The need to ensure that those patients requiring more urgent care receive care first is the basis for all triage scales. Through the Canadian Triage and Acuity Scale National Working Group, the scale became the recommended triage tool for Canadian emergency departments. Work has been done on the interrater reliability of Canadian Triage and Acuity Scale among health care providers. There is a need to further assess the validity of the scale. This scale has now been applied in the out of hospital setting by paramedics and is being used in measurements of emergency physician workload. The future may see an electronic triage tool develop for emergency department use to reduce variability in its application. The Canadian Triage and Acuity Scale has become an integral component of Canadian emergency departments.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.012
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.966
Threshold uncertainty score0.244

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.012
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.007
Science and technology studies0.0040.003
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.029
GPT teacher head0.329
Teacher spread0.300 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations150
Published2003
Admission routes2
Has abstractyes

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