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

• Main Authors: Abrar-Ahmad Zulfiqar, 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, Emmanuel Andres
• Format: Article
• Language: English
• Published: MDPI AG 2020-07-01
• Series: Medicines
• Subjects: telemedicine; remote monitoring; GER-e-TEC; elderly patient; artificial intelligence; geriatric syndromes
• Online Access: https://www.mdpi.com/2305-6320/7/8/41

<b>Background:</b> 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. <b>Methods:</b> 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. <b>Results:</b> 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. <b>Conclusions:</b> 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).