Mise à niveau de la gestion des chariots de réanimation en établissement de santé
Bibliographic record
Abstract
Resume Introduction : Le delai d’intervention de l’equipe de reanimation lors d’une urgence cardio-vasculaire en milieu hospitalier est un des facteurs essentiels influencant la survie des patients. Description de la problematique : Au CHU Sainte- Justine, le Departement de pharmacie gere le contenu des chariots de reanimation des unites de soins critiques. Toutefois, cette prise en charge n’a ete que partielle, puisque les chariots des autres unites de soins continuent d’etre remplis et approvisionnes par les infirmieres. De nombreux problemes ont ete rapportes en ce qui concerne la gestion de plateaux de reanimation. Resolution de la problematique : Le fonctionnement a ete revu selon les modalites suivantes : a) elimination des coffrets d’urgence en pediatrie et obstetriquegynecologie, b) revision du contenu des plateaux complets, c) prise en charge des plateaux partiels par la pharmacie pour les chariots d’etage utilises en premiere ligne, d) etablissement d’un aide-memoire pour la formation du personnel soignant, e) mise en ligne d’un module Web de formation, f) mise en place d’un rapport d’utilisation pour chaque ouverture de plateau. Conclusion : Il existe peu de publications sur la gestion des chariots de reanimation. Cet article decrit les actions concretes entreprises dans un centre hospitalier universitaire au Quebec. Abstract Introduction : The time to intervention by a resuscitation team during a cardiovascular emergency in a hospital is one of the essential factors influencing patient survival. Description of problem: At the CHU Sainte-Justine, stocking of the crash cart used on critical care wards is managed by the pharmacy department. However, this management has only been partial as the carts from other wards continue to be filled and stocked by the nurses. Numerous problems have been reported with respect to the management of resuscitation trays. Problem resolution: Operations were reviewed according to the following modalities: a) elimination of the pediatric and obstetrics-gynecology emergency boxes; b) revision of the contents of complete trays; c) management of partial trays by pharmacy for ward carts used first line; d) development of a memory-aid used for training new personnel; e) placing a Web training module online; and f) implementation of a utilization report each time a tray is opened. Conclusion: Few publications exist with respect to the management of crash carts. This article describes the concrete actions taken in a Quebec university health centre.
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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 | 0.010 | 0.033 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.013 | 0.002 |
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".