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Record W2135689724 · doi:10.1071/ah080786

Quality frameworks for telephone triage

2008· article· en· W2135689724 on OpenAlexaff
A. C. McGrath, Christine R Macdonald

Bibliographic record

VenueAustralian Health Review · 2008
Typearticle
Languageen
FieldMedicine
TopicEmergency and Acute Care Studies
Canadian institutionsVictoria General Hospital
FundersAustralian Government
KeywordsDocumentationProcess managementQuality (philosophy)TriageService (business)Health careProcess (computing)BusinessOperations managementNursingKnowledge managementMedicineComputer scienceEngineeringMedical emergencyMarketingPolitical science

Abstract

fetched live from OpenAlex

The establishment of the Grampians After-Hours Service has led to the development of a quality framework for nurse telephone triage. The service providers believe this framework is the basis for the service's success. While quality frameworks including critical evaluation and peer review are not new to the health industry, the development of organisational systems to improve quality in after-hours services is innovative. The framework developed is comprehensive, evidenced-based and emphasises training, protocols and documentation. It also involves a continuous and non-punitive quality review process that operates at the individual, small group, organisation and whole-system level. The framework will continue to improve and at this time provides a foundation for discussion and further application in the pursuit of quality improvement in rural after-hours health services.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Review · Consensus signal: Review
Teacher disagreement score0.173
Threshold uncertainty score0.545

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.212
GPT teacher head0.484
Teacher spread0.273 · 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 teacher head, not a consensus.

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

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

Citations4
Published2008
Admission routes1
Has abstractyes

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