Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial.

Journal: Journal of medical Internet research
Published Date: Sep 8, 2022

Abstract

BACKGROUND: Frail older people use emergency services extensively, and digital systems that monitor health remotely could be useful in reducing these visits by earlier detection of worsening health conditions.

Authors

  • Joël Belmin
    Hôpital Charles Foix, Assistance Publique-Hôpitaux de Paris, Ivry-sur-Seine, France.
  • Patrick Villani
    Unité de Médecine Interne, Gériatrie et Thérapeutique, Assistance Publique-Hôpitaux de Marseille, Marseille, France.
  • Mathias Gay
    Communauté professionnelle de santé Itinéraire Santé, Marseille, France.
  • Stéphane Fabries
    Intervenants Libéraux et Hospitaliers Unis pour le Patient, Marseille, France.
  • 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.
  • Stéphanie Malvoisin
    Centre hospitalo-universitaire La Réunion, Saint-Pierre, French Southern Territories.
  • 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.

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