Cost-Effectiveness Analysis of a Machine Learning-Based eHealth System to Predict and Reduce Emergency Department Visits and Unscheduled Hospitalizations of Older People Living at Home: Retrospective Study.

Journal: JMIR formative research
PMID: 40215100

Abstract

BACKGROUND: Dependent older people or those losing their autonomy are at risk of emergency hospitalization. Digital systems that monitor health remotely could be useful in reducing these visits by detecting worsening health conditions earlier. However, few studies have assessed the medico-economic impact of these systems, particularly for older people.

Authors

  • Charlotte Havreng-Théry
    Laboratoire Informatique Médicale et Ingénierie des Connaissances en eSanté (UMRS 1142), Institut National de la Santé et de la Recherche Médicale and Sorbonne Université, Paris, France.
  • Arnaud Fouchard
    EIR Conseil Santé, Antony, France.
  • Fabrice Denis
    Institut Inter-Regional de Cancérologie Jean Bernard, Le Mans, France.
  • Jacques-Henri Veyron
    Agence Nationale d'Appui à la performance (ANAP), Paris, France.
  • Joël Belmin
    Hôpital Charles Foix, Assistance Publique-Hôpitaux de Paris, Ivry-sur-Seine, France.

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