First Test of an Automated Detection Platform to Identify Risk of Decompensation in Elderly Patients
| Autor: | Orianne Vaudelle, Mohamed Hajjam, Emmanuel Andrès, Sylvie Ervé, Amir Hajjam, Jawad Hajjam, Dominique Letourneau, Abrar-Ahmad Zulfiqar, Anna Karen Garate Escamilla |
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| Rok vydání: | 2020 |
| Předmět: |
Telemedicine
2019-20 coronavirus outbreak 020205 medical informatics Coronavirus disease 2019 (COVID-19) Hospitalized patients ger-e-tec study lcsh:Medicine 02 engineering and technology 03 medical and health sciences 0302 clinical medicine Robustness (computer science) Positive predicative value 0202 electrical engineering electronic engineering information engineering Internal Medicine Medicine Decompensation Elderly patient e-platform mypredi business.industry lcsh:R telemonitoring Articles medicine.disease geriatric risks 030220 oncology & carcinogenesis Medical emergency business |
| Zdroj: | Eur J Case Rep Intern Med European Journal of Case Reports in Internal Medicine (2020) |
| ISSN: | 2284-2594 |
| Popis: | INTRODUCTION: We tested the MyPredi(™) 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 MyPredi(™) 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. LEARNING POINTS: Patients with chronic conditions can be monitored with telemedicine systems to optimise their management, particularly during the COVID-19 pandemic. The goal was to validate the technological choices, to consolidate the system and to test the robustness of the MyPredi(™) e-platform, through daily use in an elderly patient. The present experiment demonstrates the relevance of the technological choices, the tools and the solutions developed. |
| Databáze: | OpenAIRE |
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