First Test of an Automated Detection Platform to Identify Risk of Decompensation in Elderly Patients

Zulfiqar, Abrar-Ahmad and Vaudelle, Orianne and Hajjam, Mohamed and Letourneau, Dominique and Hajjam, Jawad (2020) First Test of an Automated Detection Platform to Identify Risk of Decompensation in Elderly Patients. European Journal of Case Reports in Internal Medicine, 7 (12). pp. 1-5. ISSN ISSN: 2284-2594

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Abstract

Introduction: We tested the MyPrediTM e-platform which is dedicated to the automated, intelligent detection of situations posing a risk of decompensation in geriatric patients.Objective: The goal was to validate the technological choices, to consolidate the system and to test the robustness of the MyPrediTM e-platform through daily use. Results: The telemedicine solution took 3,552 measurements for a hospitalized patient during her stay, with an average of 237 measurements per day, and issued 32 alerts, with an average of 2 alerts per day. The main risk was heart failure which generated the most alerts (n=13). The platform had 100% sensitivity for all geriatric risks, and had very satisfactory positive and negative predictive values.Conclusion: The present experiment validates the technological choices, the tools and the solutions developed.

Item Type: Article
Uncontrolled Keywords: Telemonitoring, geriatric risks, MyPrediTM e-platform, GER-e-TEC study
Subjects: 600 Tecnologia - Scienze applicate
600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici)
600 Tecnologia - Scienze applicate > 610 Medicina e salute (Classificare qui la tecnologia dei servizi medici) > 616 Malattie (classificare qui la Clinica medica, la medicina basata sull'evidenza, la Medicina interna, la Medicina sperimentale)
Depositing User: Marina Spanti
Date Deposited: 20 Dec 2021 14:23
Last Modified: 20 Dec 2021 14:23
URI: http://eprints.bice.rm.cnr.it/id/eprint/21085

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