| 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: |
|
| 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: |
|
