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Concept Paper

e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project

1
Diabètes et Maladies Métaboliques, Service de Médecine Interne, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
2
Engineer Department, Neoma Business School, 51100 Reims, France
3
Predimed Technology, 67300 Schiltigheim, France
4
Service de Physiologie et Laboratoire d’Explorations Fonctionnelles, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France
5
Equipe de recherche EA 3072 “Mitochondrie, Stress oxydant et Protection musculaire”, Faculté de Médecine de Strasbourg, Université de Strasbourg, 67000 Strasbourg, France
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Fondation de l’Avenir pour la Recherche Médicale Appliquée, 75015 Paris, France
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Centre d’Expertise des TIC pour l’autonomie (CenTich) et Mutualité Française Anjou-Mayenne (MFAM)–Angers, 49000 Angers, France
8
Laboratoire IRTES-SeT, Université de Technologie de Belfort-Montbéliard (UTBM), Belfort-Montbéliard, 90000 Belfort, France
*
Author to whom correspondence should be addressed.
Received: 9 June 2020 / Revised: 20 July 2020 / Accepted: 21 July 2020 / Published: 23 July 2020
Background: Elderly residents in nursing homes have multiple comorbidities (including cognitive and psycho-behavioral pathologies, malnutrition, heart failure, diabetes, chronic obstructive pulmonary disease, and renal failure) and use multiple medications. Methods: The GER-e-TEC project aims to provide these fragile and complex patients with telemedicine tools, more specifically telemonitoring, backed by a well-defined and personalized protocol. Results: Medically, this implies the need for regular monitoring and a high level of medical and multidisciplinary expertise for the healthcare team. The tools use non-invasive communicating sensors and artificial intelligence techniques, allowing daily monitoring with the ability to detect any abnormal changes in the patient’s condition early. Conclusions: The GER-e-TEC project specifically considers the challenges of aging residents and significant challenges in nursing homes, with the main geriatric syndromes (falls, malnutrition, cognitive-behavioral disorders, and iatrogenic conditions). View Full-Text
Keywords: telemedicine; remote monitoring; GER-e-TEC; elderly patient; artificial intelligence; geriatric syndromes; detection of the precursory signs of decompensation of geriatric syndromes telemedicine; remote monitoring; GER-e-TEC; elderly patient; artificial intelligence; geriatric syndromes; detection of the precursory signs of decompensation of geriatric syndromes
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MDPI and ACS Style

Zulfiqar, A.-A.; Lorenzo-Villalba, N.; Zulfiqar, O.-A.; Hajjam, M.; Courbon, Q.; Esteoulle, L.; Geny, B.; Talha, S.; Letourneau, D.; Hajjam, J.; Erve, S.; Hajjam El Hassani, A.; Andres, E. e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project. Medicines 2020, 7, 41. https://0-doi-org.brum.beds.ac.uk/10.3390/medicines7080041

AMA Style

Zulfiqar A-A, Lorenzo-Villalba N, Zulfiqar O-A, Hajjam M, Courbon Q, Esteoulle L, Geny B, Talha S, Letourneau D, Hajjam J, Erve S, Hajjam El Hassani A, Andres E. e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project. Medicines. 2020; 7(8):41. https://0-doi-org.brum.beds.ac.uk/10.3390/medicines7080041

Chicago/Turabian Style

Zulfiqar, Abrar-Ahmad, Noël Lorenzo-Villalba, Oumair-Ahmad Zulfiqar, Mohamed Hajjam, Quentin Courbon, Lucie Esteoulle, Bernard Geny, Samy Talha, Dominique Letourneau, Jawad Hajjam, Sylvie Erve, Amir Hajjam El Hassani, and Emmanuel Andres. 2020. "e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project" Medicines 7, no. 8: 41. https://0-doi-org.brum.beds.ac.uk/10.3390/medicines7080041

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