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Journal Article

Citation

Zulfiqar AA, Lorenzo-Villalba N, Zulfiqar OA, Hajjam M, Courbon Q, Esteoulle L, Geny B, Talha S, Letourneau D, Hajjam J, Erve S, Hajjam El Hassani A, Andres E. Medicines (Basel) 2020; 7(8): e41.

Copyright

(Copyright © 2020, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/medicines7080041

PMID

32717937

Abstract

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).


Language: en

Keywords

artificial intelligence; detection of the precursory signs of decompensation of geriatric syndromes; elderly patient; GER-e-TEC; geriatric syndromes; remote monitoring; telemedicine

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