Operations Research and Artificial Intelligence in Healthcare Management
Notice bibliographique
Résumé
This work is a collection of papers presented at the two editions of the Francophone summer school on health service management.The second edition held in 2022 at Laval University in Quebec City (Canada) focused on innovation in healthcare organizations in a post-pandemic context.The third edition, for its part, was held in 2023 at Jean-Moulin University in Lyon 3 (France).The two editions had the same main theme, the redefinition of healthcare organizations through today's complexity.The COVID-19 pandemic has highlighted many issues in adapting healthcare and social services establishments (health and medico-social establishments).More than ever, European and Canadian facilities have to undergo major transformations and face major challenges if they are to respond to these concerns.Innovative solutions can only be found through a detailed understanding of the many particularities of the environment and context.Sharing knowledge and experience to question the many facets of these challenges better is therefore all the more relevant and important.To address this issue, the second edition of the summer school, focused on the theme: "Innovation in a post-pandemic health and social services system", analyzing the following subjects: (1) The patient at the heart of the reorganization of healthcare and services, ( 2) Healthcare organization, (3) Innovation in care trajectories, (4) Digital transformation and artificial intelligence serving health and social care institutions, (5) Learning health systems-operationalization and evaluation.The third edition focused on the rethinking of healthcare organizations.Indeed, in the last decades, healthcare organizations have been going through a period of turmoil.Staff shortages, overcrowding in hospitals and primary care, supply disruptions, computer hacking, funding problems, and abuse scandals are all having a profound effect on health establishments and services, giving rise not only to unease among staff but also in society as a whole, and to questions about the missions of institutions and the resources needed to carry them out effectively and efficiently.While most of these crises are not new, their combination and the scale of their repercussions highlight the need to think differently about organizations to heal the damage and make them more resilient in the face of future challenges.To answer these challenges, several perspectives were approached by the participants of the Summer schools.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,004 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».