Bibliographic record
Abstract
Resume Introduction : La prestation securitaire de soins repose sur un circuit du medicament optimal, et le recours a la distribution de medicaments en doses unitaires fait partie des strategies reconnues depuis plusieurs decennies. Problematique : Bien qu’il soit plus securitaire que le systeme de distribution traditionnel, le systeme de distribution en doses unitaires requiert davantage de ressources humaines et materielles et augmente de facon importante la charge de travail des membres du departement de pharmacie. Resolution de la problematique : Forts de ce constat et d’une revue des principales lignes directrices sur le sujet, le chef du departement de pharmacie et son equipe ont recommande a la direction du Centre hospitalier de l’Universite de Montreal, en janvier 2003, de proceder a l’implantation d’un systeme unidose integre a l’echelle des trois sites. Nous decrivons la mise a niveau du circuit du medicament dans trois sites d’un centre hospitalier universitaire. La solution technologique retenue comporte deux robots, deux carrousels, trois ensacheuses, 29 cabinets et 112 chariots de medicaments. Conclusion : L’implantation s’est deroulee avec succes sur une periode de 18 mois. Cet article decrit succinctement la demarche effectuee et la solution technologique deployee. Abstract Introduction: Safe delivery of care depends on an optimal medication use process. Recourse to unit dose drug distribution has been a recognized strategy for several decades. Problem: Although safer than the traditional system of distribution, unit dose distribution requires more human and material resources and significantly increases the work load of pharmacy department personnel. Problem solution: Based on this principle and with a review of guidelines on the subject, the pharmacy department head and his team in January 2003 recommended that the Centre hospitalier de l’Universite de Montreal management proceed with implementation of the unit dose system on all three of its sites. We describe the upgrade of the medication use process in three sites of a university health centre. The technological solution chosen consisted of two robots, two carousels, three packaging machines, 29 cabinets, and 112 medication carts. Conclusion: Implementation was successfully achieved over a period of 18 months. This article concisely describes the process and the selected technological solution. Key words: medication use process, robot, carrousel, packaging machine, decentralized automated cabinets, carts.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".