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Record W1973851604 · doi:10.1016/j.hcmf.2014.03.004

L'intérêt des formulaires des hôpitaux pour améliorer les pratiques de prescription

2014· article· fr· W1973851604 on OpenAlexaboutno aff
Albert Karas, Bonnie Kuehl

Bibliographic record

VenueHealthcare Management Forum · 2014
Typearticle
Languagefr
FieldMedicine
TopicPharmaceutical studies and practices
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophyGynecologyMedicine

Abstract

fetched live from OpenAlex

Les formulaires des hôpitaux, orientés par les comités pharmaceutiques et thérapeutiques, sont créés pour optimiser l'utilisation des médicaments, car ils déterminent et désignent les médicaments de choix pour favoriser des prescriptions rationnelles, limiter les risques pour le patient, réduire les coûts et améliorer les résultats cliniques. Des lignes directrices et un cadre guident les évaluations critiques des médicaments inscrits dans la liste de formulaires. Cependant, il est peut-être possible d'améliorer et de standardiser le mode d'adoption d'un changement aux formulaires dans les hôpitaux canadiens. Le changement au formulaire d'un hôpital ontarien a révélé de graves problèmes associés à ce processus, y compris l'importance d'un plan d'exécution solide, de ressources adaptées, de la formation du personnel soignant et de l'acceptation.

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)0.013
metaresearch head score (Gemma)0.020
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.020
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.001

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 head0.059
GPT teacher head0.381
Teacher spread0.322 · 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

Citations0
Published2014
Admission routes1
Has abstractyes

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