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Interdisciplinary Analysis of Chemotherapy Preparation at a Pediatric Hospital

2008· article· en· W2050882184 on OpenAlexaff
Paul Intrevado, Heather A. Jackson, Matthew Kelm, Steven R. Abel

Bibliographic record

VenueJournal for Healthcare Quality · 2008
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsMcGill University
Fundersnot available
KeywordsMedicinePharmacyPediatric oncologyChemotherapyHematologyDrugIntensive care medicineInternal medicineOncologyFamily medicinePharmacologyCancer

Abstract

fetched live from OpenAlex

This report represents the results of an interprofessional investigation of the pharmaceutical procedures for hematology and oncology at a pediatric hospital. Pharmacists and industrial engineers identified areas for improvement, including a reduction in the interruption of regular pharmaceutical operations for the expedited preparation of chemotherapy treatments and the development of more robust drug preparation procedures that would ensure medication safety. The establishment of a satellite hematology/oncology pharmacy was also examined. Procedural changes were proposed in an effort to increase the safety and service levels of chemotherapy treatments for patients with hematological and oncological disorders.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.037
Threshold uncertainty score0.321

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.153
GPT teacher head0.538
Teacher spread0.385 · 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 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

Citations3
Published2008
Admission routes1
Has abstractyes

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