Making sense of the French public hospital system: a network-based approach to hospital clustering using unsupervised learning methods.

Journal: BMC health services research
PMID: 34789235

Abstract

BACKGROUND: Hospitals in the public and private sectors tend to join larger organizations to form hospital groups. This increasingly frequent mode of functioning raises the question of how countries should organize their health system, according to the interactions already present between their hospitals. The objective of this study was to identify distinctive profiles of French hospitals according to their characteristics and their role in the French hospital network.

Authors

  • Jan Chrusciel
    Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, F-10000, Troyes, France. jan.chrusciel@hcs-sante.fr.
  • Adrien Le Guillou
    Pôle Recherche et Santé Publique, Centre Hospitalier Universitaire de Reims, 51100, Reims, France.
  • Eric Daoud
    Residual Tumor & Response to Treatment Laboratory, RT2Lab, INSERM, U932 Immunity and Cancer, Institut Curie, Université Paris, 75005, Paris, France.
  • David Laplanche
    Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, F-10000, Troyes, France.
  • Sandra Steunou
    Department of Data, Agence Technique d'Information sur l'Hospitalisation, 69003, Lyon, France.
  • Marie-Caroline Clément
    Department of Classifications in Healthcare, Medical Information and Financing Models, Agence Technique d'Information sur l'Hospitalisation, 75012, Paris, France.
  • Stéphane Sanchez
    Pôle Territorial Santé Publique et Performance, Centre Hospitalier de Troyes, F-10000, Troyes, France.

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