Réflexion sur les interruptions dans le circuit du médicament et leurs retombées
Bibliographic record
Abstract
Resume Objectif : Discuter des interruptions dans le circuit du medicament en etablissement de sante et de leurs retombees. Mise en contexte : Le circuit du medicament est un processus complexe pour l’acquisition d’un medicament, reposant sur l’activite d’une variete d’acteurs. Il existe dans le reseau de la sante un probleme lie a des interruptions dans la chaine des differents acteurs, survenant lors de la realisation d’une ou de plusieurs etapes du circuit, et nous pensons que ces interruptions nuisent a la prestation securitaire des soins. Le taux d’interruptions par heure et par sujet, les sources et les motifs des interruptions sont relativement bien decrits dans les milieux infirmiers et medicaux. On note neanmoins que peu d’etudes ont ete realisees au sein des equipes de pharmacie. Les consequences des interruptions sur les erreurs medicamenteuses sont quant a elles peu demontrees. Nous proposons des perspectives et des mesures contribuant a limiter les interruptions et les distractions en milieu pharmaceutique. Conclusion : Cet article recense les principaux ecrits en soins infirmiers, medicaux et en services pharmaceutiques et propose une reflexion portant sur les mesures contribuant a la reduction des interruptions et des distractions en pharmacie. Abstract Objective: To discuss the consequences of interruptions in the medication circuit in healthcare establishments. Context: The acquisition of a drug can be a complex process within the medication circuit, relying on the activity of several persons. In the healthcare system, problems exist related to interruptions in the sequence of actions of the various persons involved, occurring either during one or many steps of the circuit; and we believe that these may hinder safe delivery of care. The rate of interruptions per hour and by subject, along with the sources and the reasons for interruptions, are relatively well described in medical and nursing practice. However, few studies have been done involving pharmacy teams. The consequences of interruptions on medication errors are in themselves poorly documented. We propose perspectives and methods that help to limit interruptions and distractions in pharmacy practice. Conclusion: This article surveys the main literature in nursing care, medicine, and pharmacy services; and it outlines methods contributing to the reduction of interruptions and distractions in pharmacy practice. Key words: interruptions, attention, impact, influence, consequence, medication error
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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 | 0.005 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
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".