Réorganisation d’un outil d’information relatif à la gestion des médicaments : applications pratiques
Bibliographic record
Abstract
Resume L’augmentation exponentielle du nombre de medicaments utilises et du nombre de personnes impliquees (personnel pharmaceutique, infirmier et medical) en ce qui concerne l’utilisation du medicament dans un centre hospitalier universitaire quebecois a cree le besoin d’un outil d’information local, standardise, dynamique et fiable, permettant de connaitre et de decrire en tout temps chaque medicament disponible, sans exception. La mise sur pied d’un tel outil complet d’information a ete effectuee a l’Hopital Ste-Justine. Les caracteristiques optimales visees, quelques exemples pratiques, les etapes menant au produit final, de meme que les embuches rencontrees sont decrits. Le processus de reorganisation de l’information relative au medicament a apporte de nombreuses ameliorations aux outils deja offerts, mais grandement incomplets et sous-optimaux, dont : • une augmentation significative de la fiabilite : par l’inclusion de tous les medicaments utilises dans le centre et par la description de chaque medicament a l’aide de caracteristiques standardisees; • une augmentation significative de la disponibilite : par le fait que l’outil peut etre consulte par un plus grand nombre de personnes via les copies imprimees et la version electronique, et par le fait qu’il peut etre interroge selon plusieurs perspectives; • une augmentation du dynamisme : par une mise a jour continue. Nous pensons que la reorganisation des renseignements relatifs aux medicaments disponibles dans nos centres hospitaliers devient de plus en plus essentielle au fonctionnement adequat des nombreuses activites entourant l’utilisation des medicaments. L’organisation de ces renseignements dans un outil bien structure permet de repondre aux nombreux besoins des differents intervenants. Abstract Restructuring an information tool relative to medication management: practical applications Exponential increase in the number of medications used and people involved (pharmaceutical, nursing and medical staff), as regards use of medication in a Quebec university hospital, has created the need for a local, standardized, dynamic and reliable information tool, allowing to know and describe at any time each and every medication available. The implementation of such a complete information tool has been made at Sainte-Justine Hospital. Optimum characteristics aimed, few practical examples, steps leading to the product as well as barriers met during the process are described. Restructuring process of information relative to medication has brought many improvements to tools that were already available, but greatly incomplete and suboptimal, of which: • A significant increase of reliability: by inclusion of all medications used in the hospital and description of each medication using standardized characteristics; • A significant increase of availability: the tool can be consulted by more people through printed and electronic copies, and it can be interrogated according to several different ways; • An increase of dynamism: by continuous update. We think that restructuring information relative to medications available in our hospitals is more and more essential to adequate operation of many activities surrounding the use of medications. Organization of this information in a well-structured tool provides answers to different caregivers.
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 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 | 0.008 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.005 |
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".