This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1687) Machine Learning (1770) Artificial Intelligence (1776) Aging in Place (335)

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

Authors of this article:

Joël Belmin1, 2 Author Orcid Image ;   Patrick Villani3, 4 Author Orcid Image ;   Mathias Gay5 Author Orcid Image ;   Stéphane Fabries6 Author Orcid Image ;   Charlotte Havreng-Théry2, 7 Author Orcid Image ;   Stéphanie Malvoisin8 Author Orcid Image ;   Fabrice Denis9 Author Orcid Image ;   Jacques-Henri Veyron7 Author Orcid Image
Article Authors Cited by (12) Tweetations (16) Metrics

Journals

  1. Saragosa M, Zagrodney K, Rabeenthira P, King E, McKay S. How Might We Have Known? Using Administrative Data to Predict 30-Day Hospital Readmission in Clients Receiving Home Care Services from 2018 to 2021. Health Services Insights 2023;16 View
  2. Arnaud E, Petitprez E, Ammirati C, Nemitz B, Dequen G, Gignon M, Ghazali D. L’intelligence artificielle dans les structures d’urgences : place de la formation et de la garantie humaine. Annales françaises de médecine d’urgence 2023;13(3):169 View
  3. Olender R, Roy S, Nishtala P. Application of machine learning approaches in predicting clinical outcomes in older adults – a systematic review and meta-analysis. BMC Geriatrics 2023;23(1) View
  4. de Siqueira Silva Í, de Araújo A, Lopes R, Silva C, Xavier P, de Figueirêdo R, Brito E, Lapão L, Martiniano C, de Araújo Nunes V, da Costa Uchôa S. Digital home care interventions and quality of primary care for older adults: a scoping review. BMC Geriatrics 2024;24(1) View
  5. Veyron J, Deparis F, Al Zayat M, Belmin J, Havreng-Théry C. Postimplementation Evaluation in Assisted Living Facilities of an eHealth Medical Device Developed to Predict and Avoid Unplanned Hospitalizations: Pragmatic Trial. Journal of Medical Internet Research 2024;26:e55460 View
  6. Dutta J, Puthal D. Advancing eHealth in Society 5.0: A Fuzzy Logic and Blockchain-Enhanced Framework for Integrating IoMT, Edge, and Cloud With AI. IEEE Access 2024;12:195710 View
  7. Havreng-Théry C, Fouchard A, Denis F, Veyron J, Belmin J. 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. JMIR Formative Research 2025;9:e63700 View
  8. Haase L, Sedlmayr B, Sedlmayr M, Monett D, Winter J. Towards mHealth applications for pet animal owners: a comprehensive literature review of requirements. BMC Veterinary Research 2025;21(1) View
  9. Enam M, Murmu C, Dixon E. “Artificial Intelligence - Carrying us into the Future”: A Study of Older Adults’ Perceptions of LLM-Based Chatbots. International Journal of Human–Computer Interaction 2025:1 View
  10. Rony M, Deb T, Khatun M, Nesa L, Begum J, Afrin M, Noor M, Akter M, Khatun M, Begum M, Parvin M, Akter F. Attitudes of older patients toward artificial intelligence in decision-making in healthcare. Journal of Medicine, Surgery, and Public Health 2025;6:100193 View
  11. Olender R, Roy S, Nishtala P. Potentially inappropriate polypharmacy is an important predictor of 30-day emergency hospitalisation in older adults: a machine learning feature validation study. Age and Ageing 2025;54(6) View

Conference Proceedings

  1. Dutta J, Puthal D, Yeun C. GLOBECOM 2023 - 2023 IEEE Global Communications Conference. Next Generation Healthcare with Explainable AI: IoMT-Edge-Cloud Based Advanced eHealth View