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Record W2038756956 · doi:10.1177/1043454207299407

Standardization of Telephone Triage in Pediatric Oncology

2007· review· en· W2038756956 on OpenAlexaff
Karina Black

Bibliographic record

VenueJournal of Pediatric Oncology Nursing · 2007
Typereview
Languageen
FieldMedicine
TopicPalliative Care and End-of-Life Issues
Canadian institutionsStollery Children's Hospital
Fundersnot available
KeywordsStandardizationTriageDocumentationMedicinePediatric oncologyBest practicePopulationMedical emergencyNursingMedical educationCancerComputer scienceInternal medicine

Abstract

fetched live from OpenAlex

Nurses in pediatric oncology are often the main resource for overwhelmed parents and deal with complex patient issues over the telephone but often not without concerns about best patient care, liability, and accountability for the advice given. The question is whether using standardization of telephone triage practices can provide opportunities for improvement in the care of pediatric oncology patients. A review of the literature pertaining to telephone triage, standardization of practice, and the practice in outpatient oncology was conducted. The utilization of easy-to-use, accessible yet nonrestrictive resources and a well-designed documentation tool can help guide the decision-making process while addressing legal concerns and ensuring best possible patient care. An advantage that nurses in outpatient oncology settings have in performing telephone triage is the knowledge they have of their patient population and the disease process and treatments. Using a balanced approach to standardization of telephone triage practices can provide opportunities for improvements in care while still capitalizing on the intuitive knowledge and experience of the nurses involved.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0040.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
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 head0.254
GPT teacher head0.558
Teacher spread0.304 · 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.

Study designOther design
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

Citations22
Published2007
Admission routes1
Has abstractyes

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