Autor: |
Abrar-Ahmad Zulfiqar, Orianne Vaudelle, Mohamed Hajjam, Dominique Letourneau, Jawad Hajjam, Sylvie Ervé, Anna Karen Garate Escamilla, Amir Hajjam, Emmanuel Andrès |
Jazyk: |
angličtina |
Rok vydání: |
2020 |
Předmět: |
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Zdroj: |
European Journal of Case Reports in Internal Medicine (2020) |
Druh dokumentu: |
article |
ISSN: |
2284-2594 |
DOI: |
10.12890/2020_002102 |
Popis: |
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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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