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Organisation et monitoring des capacités hospitalières en période de crise

Author

Listed:
  • Thierry Garaix

    (CIS - MINES - Centre Ingénierie Santé, Saint-Étienne, LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne)

  • Camille Breen

    (CIS - MINES - Centre Ingénierie Santé, Saint-Étienne, LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne)

  • Mohamed El Habib Messabis

    (CIS - MINES - Centre Ingénierie Santé, Saint-Étienne, LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne)

  • Raksmey Phan

    (CIS - MINES - Centre Ingénierie Santé, Saint-Étienne, LIMOS - Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes - ENSM ST-ETIENNE - Ecole Nationale Supérieure des Mines de St Etienne - CNRS - Centre National de la Recherche Scientifique - UCA - Université Clermont Auvergne - INP Clermont Auvergne - Institut national polytechnique Clermont Auvergne - UCA - Université Clermont Auvergne)

Abstract

Le présent travail scientifique propose un outil d'aide à la décision pour accompagner la gestion stratégique de la capacité hospitalière en situation de crise similaire à celle de la Covid-19. Cette pandémie a mis en évidence le manque de préparation des systèmes de santé du monde entier, dont le système de santé français. En suivant les projections de l'évolution de la pandémie tout au long d'un horizon temporel déterminé, il s'agit pour nous de proposer une politique d'activation et de désactivation dynamique des ressources exceptionnelles dégagées par les établissements de santé pour prendre en charge le flux massif de patients généré par la crise. Définir une politique de gestion paraît inéluctable pour éviter toute surchauffe du système et une pause trop longue dans les activités médicales non liées à la crise sanitaire en cours, car les organisations hospitalières ont besoin de planifier à l'avance leurs déploiements importants de capacités. Ces travaux s'appuient sur des prévisions épidémiologiques et a su tenir compte du niveau de confiance accordé à ces prévisions. Nous avons focalisé notre étude sur les lits ouverts en réanimation qui exigent de mobiliser toute une série de ressources à aligner sur les capacités disponibles.

Suggested Citation

  • Thierry Garaix & Camille Breen & Mohamed El Habib Messabis & Raksmey Phan, 2022. "Organisation et monitoring des capacités hospitalières en période de crise," Post-Print hal-04420223, HAL.
    • Handle: RePEc:hal:journl:hal-04420223
    DOI: 10.3917/re1.108.0061
    Note: View the original document on HAL open archive server: https://hal.science/hal-04420223v1
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    References listed on IDEAS

    as
    1. Sanjay Mehrotra & Hamed Rahimian & Masoud Barah & Fengqiao Luo & Karolina Schantz, 2020. "A model of supply‐chain decisions for resource sharing with an application to ventilator allocation to combat COVID‐19," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(5), pages 303-320, August.
    2. Lucas Lacasa & Robert Challen & Ellen Brooks-Pollock & Leon Danon, 2020. "A flexible method for optimising sharing of healthcare resources and demand in the context of the COVID-19 pandemic," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-15, October.
    3. Christine S.M. Currie & John W. Fowler & Kathy Kotiadis & Thomas Monks & Bhakti Stephan Onggo & Duncan A. Robertson & Antuela A. Tako, 2020. "How simulation modelling can help reduce the impact of COVID-19," Journal of Simulation, Taylor & Francis Journals, vol. 14(2), pages 83-97, April.
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