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e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project
Abrar-Ahmad Zulfiqar1, Noël Lorenzo-Villalba1, Oumair-Ahmad Zulfiqar2
1Diabètes et Maladies Métaboliques, Service de Médecine Interne, Hôpitaux Universitaires de Strasbourg, 67000 Strasbourg, France.
Medicines (Basel, Switzerland)
|July 29, 2020
Summary
The GER-e-TEC project uses telemedicine and artificial intelligence to monitor elderly nursing home residents. This technology enables early detection of health changes, improving care for complex geriatric patients.
Area of Science:
- Gerontology
- Medical Informatics
- Telemedicine
Background:
- Elderly nursing home residents often have multiple chronic conditions and polypharmacy.
- These complex patients present significant challenges for healthcare teams.
Purpose of the Study:
- To implement telemedicine tools, specifically telemonitoring, for fragile nursing home residents.
- To develop a personalized protocol for managing complex geriatric patients.
Main Methods:
- Utilizing non-invasive communicating sensors for daily patient monitoring.
- Employing artificial intelligence (AI) techniques to detect early signs of health deterioration.
- Implementing a well-defined, personalized telemonitoring protocol.
Main Results:
- Enabled regular monitoring of patients with multiple comorbidities.
- Facilitated early detection of abnormal changes in patient condition.
- Supported a high level of medical and multidisciplinary expertise.
Conclusions:
- The GER-e-TEC project addresses the unique challenges of aging residents in nursing homes.
- Focuses on key geriatric syndromes like falls, malnutrition, and cognitive disorders.
- Aims to mitigate iatrogenic conditions through proactive monitoring.
Keywords:
GER-e-TECartificial intelligencedetection of the precursory signs of decompensation of geriatric syndromeselderly patientgeriatric syndromesremote monitoringtelemedicineMore Related Videos
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