E. ANDRES, S. TALHA, A. AHMED BENYAHIA, O. KELLER, M. HAJJAM, A. MOUKADEM, A. DIETERLEN, J. HAJJAM, S. ERVE, A. HAJJAM. “Experimentation of an e-platform to detect situations at risk of cardiac impairment (platform E-care) in an internal medicine unit” La Revue de Médecine Interne, Elsevier, Doi : 10.1016/j.revmed.2016.01.004, 2016.
Introduction: Monitoring patients with heart failure by telemedicine systems is a potential means susceptible to optimize the management of these patients and avoid life-threatening emergencies. In this context, we experimented in internal medicine unit an e-platform E-care dedicated to automated, intelligent detection of situations at risk of heart failure. Methods: The E-care platform based on medical sensors (blood pressure, heart rate, O2, weight), communicating (Bluetooth), to go up, in real time, to an intelligent physiological information and an analysis of the ontology medical, leading ultimately to the generation of alerts. After a development phase (proof of concept), the E-care platform has been deployed and tested by health professionals and patients in an internal medicine unit with 20 beds, opened on emergencies to the Strasbourg University Hospitals. Results: One hundred and eighty patients were included and 1500 measurements were obtained. The patient profile included in this experiment was an elderly patient, with comorbidity in 90% of cases, with a loss of autonomy in 25%. Health professionals were using E-care platform every day to their great satisfaction. This experiment made it possible to validate the technology choices, to consolidate the system, and to test the robustness of the platform E-care. The collection continuously allowed us to have the critical number of patients for more detailed analysis of the relevance of alerts related to heart impairment. A preliminary analysis showed the relevance of the generated alerts. Conclusion: Preliminary results following the deployment of E-care platform in hospitals appear to show the relevance of technological choices, tools and solutions developed and adopted. This telemedicine system allows automatic, non-intrusive, generate alerts related to the detection of situations at risk for heart failure. Ultimately, E-care was capable of preventing hospitalization. A home deployment is currently underway.