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Deployment of a remote monitoring solution for the elderly: experiment with an elderly patient
Abrar-Ahmad Zulfiqar1, Orianne Vaudelle2, Mohamed Hajjam2
1Service de médecine interne, diabète et maladies métaboliques de la Clinique médicale B, hôpitaux universitaires de Strasbourg et équipe EA 3072 Mitochondrie, stress oxydant et protection musculaire, faculté de médecine, université de Strasbourg, Strasbourg, France.
Introduction:
Telemedicine can help manage patients suffering from chronic pathologies, particularly elderly patients with numerous comorbidities. We experimented with the e-platform, MyPredi, dedicated to the automated, intelligent detection of situations where patients are at risk of decompensation from geriatric syndromes. We focused our experiment on one particular patient included in the GER-e-TEC study.
Methods:
The MyPredi platform uses on medical sensors that communicate and relay real-time feedback to an intelligent system of physiological information that analyzes medical ontology, ultimately leading to the generation of alerts. These alerts are linked to a deterioration in the patient's state of health due to a decompensation of chronic pathologies. We reported the results of this experiment for the patient who was participating.
Results:
The telemedicine solution made 6,073 measurements for the patient throughout his hospitalization, averaging 253 measurements per day. The telemedicine solution issued 110 alerts for the patient during his stay, with an average of 5 alerts per day. The patient had 15 mild alerts, 31 moderate alerts, and 64 severe alerts. In terms of sensitivity, the results are 100% for all geriatric risks and very satisfactory in terms of positive and negative predictive value.
Conclusion:
MyPredi telemedicine platform enables the generation of alerts in an automatic and non-intrusive way relating to the deterioration of a patient's state of health with regard to geriatric risks.
