Published on in Vol 24 , No 9 (2022) :September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40387, first published .
Real-world Implementation of an eHealth System Based on Artificial Intelligence Designed to Predict and Reduce Emergency Department Visits by Older Adults: Pragmatic Trial

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

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

Joël Belmin 1, 2 , MD, PhD ;   Patrick Villani 3, 4 , MD, PhD ;   Mathias Gay 5 , PhD ;   Stéphane Fabries 6 , MS ;   Charlotte Havreng-Théry 1, 7 , PhD ;   Stéphanie Malvoisin 8 , MD ;   Fabrice Denis 9 , MD, PhD ;   Jacques-Henri Veyron 7 , MS

1 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 , FR

2 Hôpital Charles Foix , Assistance Publique-Hôpitaux de Paris , Ivry-sur-Seine , FR

3 Unité de Médecine Interne, Gériatrie et Thérapeutique , Assistance Publique-Hôpitaux de Marseille , Marseille , FR

4 Etablissement Français du Sang, Anthropologie bio-culturelle, Droit, Ethique et Santé , Centre National de la Recherche Scientifique , Université Aix-Marseille , Marseille , FR

5 Communauté professionnelle de santé Itinéraire Santé , Marseille , FR

6 Intervenants Libéraux et Hospitaliers Unis pour le Patient , Marseille , FR

7 Presage , Paris , FR

8 Centre hospitalo-universitaire La Réunion , Saint-Pierre , TF

9 Institut Inter-Régional de Cancérologie Jean Bernard , Le Mans , FR

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