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Record W1596751135 · doi:10.4212/cjhp.v61i5.82

Pharmacist-Managed Toxicology Consult Service at the Ottawa Hospital: Epidemiology of Referrals, Evaluation of Written Consults, and Survey of Past Residents

2008· article· en· W1596751135 on OpenAlexaffvenueabout
Salmaan Kanji, Gisia Pisegna, Chole Campbell, Robert MacLean, Sabrina Natarajan, Céline Corman, Rakesh Patel

Bibliographic record

VenueThe Canadian Journal of Hospital Pharmacy · 2008
Typearticle
Languageen
FieldMedicine
TopicPharmaceutical Practices and Patient Outcomes
Canadian institutionsOttawa Hospital
Fundersnot available
KeywordsMedicinePharmacyPharmacistClinical pharmacyMedical emergencyIntensive care unitUnit (ring theory)Service (business)Family medicineDrug reactionEmergency medicineDrugIntensive care medicinePharmacologyPsychologyBusiness

Abstract

fetched live from OpenAlex

The role of clinical pharmacy services in acute care settings such as the emergency department and the intensive care unit (ICU) has been documented since the 1970s. These studies have demonstrated that the participation by pharmacists in direct patient care exerts a positive influence on patient outcomes, cost containment, and prevention of adverse drug reactions.1-10 In comparison, pharmacy-managed consult services in acute care settings are less common, and the few that have been described in published reports appear to have been limited to the monitoring of specific therapeutic drugs, medication history-taking, and the provision of drug information.5,7,8

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)0.001
metaresearch head score (Gemma)0.008
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: Empirical
Teacher disagreement score0.569
Threshold uncertainty score0.867

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.308
GPT teacher head0.438
Teacher spread0.130 · 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

Citations1
Published2008
Admission routes3
Has abstractyes

Explore more

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