e-Health: A Future Solution for Optimized Management of Elderly Patients. GER-e-TEC™ Project.
Abrar-Ahmad ZulfiqarNoël Lorenzo-VillalbaOumair-Ahmad ZulfiqarMohamed HajjamQuentin CourbonLucie EsteoulleBernard GenySamy TalhaDominique LetourneauJawad HajjamSylvie ErveAmir Hajjam El HassaniAbrar-Ahmad ZulfiqarPublished in: Medicines (Basel, Switzerland) (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).
Keyphrases
- quality improvement
- artificial intelligence
- healthcare
- heart failure
- chronic obstructive pulmonary disease
- machine learning
- big data
- deep learning
- cardiovascular disease
- type diabetes
- public health
- health information
- randomized controlled trial
- community dwelling
- case report
- left ventricular
- physical activity
- palliative care
- mental health
- adipose tissue
- lung function
- glycemic control
- acute heart failure
- middle aged
- cystic fibrosis
- risk assessment
- atrial fibrillation
- health promotion
- air pollution