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e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project
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 pro...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459723/ https://www.ncbi.nlm.nih.gov/pubmed/32717937 http://dx.doi.org/10.3390/medicines7080041 |
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author | Zulfiqar, Abrar-Ahmad Lorenzo-Villalba, Noël Zulfiqar, Oumair-Ahmad Hajjam, Mohamed Courbon, Quentin Esteoulle, Lucie Geny, Bernard Talha, Samy Letourneau, Dominique Hajjam, Jawad Erve, Sylvie Hajjam El Hassani, Amir Andres, Emmanuel |
author_facet | Zulfiqar, Abrar-Ahmad Lorenzo-Villalba, Noël Zulfiqar, Oumair-Ahmad Hajjam, Mohamed Courbon, Quentin Esteoulle, Lucie Geny, Bernard Talha, Samy Letourneau, Dominique Hajjam, Jawad Erve, Sylvie Hajjam El Hassani, Amir Andres, Emmanuel |
author_sort | Zulfiqar, Abrar-Ahmad |
collection | PubMed |
description | 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). |
format | Online Article Text |
id | pubmed-7459723 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-74597232020-09-02 e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project Zulfiqar, Abrar-Ahmad Lorenzo-Villalba, Noël Zulfiqar, Oumair-Ahmad Hajjam, Mohamed Courbon, Quentin Esteoulle, Lucie Geny, Bernard Talha, Samy Letourneau, Dominique Hajjam, Jawad Erve, Sylvie Hajjam El Hassani, Amir Andres, Emmanuel Medicines (Basel) Concept Paper 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). MDPI 2020-07-23 /pmc/articles/PMC7459723/ /pubmed/32717937 http://dx.doi.org/10.3390/medicines7080041 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Concept Paper Zulfiqar, Abrar-Ahmad Lorenzo-Villalba, Noël Zulfiqar, Oumair-Ahmad Hajjam, Mohamed Courbon, Quentin Esteoulle, Lucie Geny, Bernard Talha, Samy Letourneau, Dominique Hajjam, Jawad Erve, Sylvie Hajjam El Hassani, Amir Andres, Emmanuel e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title | e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title_full | e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title_fullStr | e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title_full_unstemmed | e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title_short | e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project |
title_sort | e-health: a future solution for optimized management of elderly patients. ger-e-tec™ project |
topic | Concept Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7459723/ https://www.ncbi.nlm.nih.gov/pubmed/32717937 http://dx.doi.org/10.3390/medicines7080041 |
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