MétaCan
Menu
Back to cohort
Record W3097837282 · doi:10.12927/hcq.2020.26333

Physician Initial Assessment Times Based on CTAS Scores: Are We Meeting the Recommendations?

2020· article· en· W3097837282 on OpenAlexaffvenueabout
Mazen El-Baba, Ryan Ramos, Leila Salehi, Qamar Amin, Shira Brown, Suneel Upadhye, Rahim Valani

Bibliographic record

VenueHealthcare Quarterly · 2020
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsVale (Canada)McMaster UniversityUniversity of Toronto
Fundersnot available
KeywordsTriageEmergency departmentMedicineMedical emergencyScale (ratio)CohortBest practicePatient careEmergency medicineFamily medicineNursing

Abstract

fetched live from OpenAlex

The Canadian Triage and Acuity Scale prioritizes patient care in the emergency department (ED) by setting recommendations for physician initial assessment (PIA) times. However, adherence to the recommended PIA times may not be possible due to increasing ED visits, overcrowding and patient boarding in the ED. We conducted a retrospective review of adult patients who visited four community EDs from January 2016 to December 2017 and found that the overall compliance with the recommended PIA times was low. This brings into question the utility of the current target PIA times and prompts the need for changes downstream to enable quicker patient assessments.

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)0.015
metaresearch head score (Gemma)0.135
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.040
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.135
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.062
GPT teacher head0.381
Teacher spread0.319 · 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 designObservational
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

Citations2
Published2020
Admission routes3
Has abstractyes

Explore more

Same venueHealthcare QuarterlySame topicEmergency and Acute Care StudiesFrench-language works237,207