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975: LOWERING ALARM BURDEN BY THE USE OF ARTIFICIAL INTELLIGENCE.

Authors :
Pessach, Itai
Chen, Ofer
Cucchi, Eric
Blum, James
Lilly, Craig
Source :
Critical Care Medicine. 2023 Supplement, Vol. 51, p480-480. 1p.
Publication Year :
2023

Abstract

B Introduction: b Continuous monitoring is an essential part of critical care and specifically for telemedicine based critical care coverage (Tele-ICU). The aim of the present work was to compare the alarm burden resulting from critical alerts generated by usual Tele-ICU care monitors and our AI based algorithms. Performance of the AI based algorithm alerts (AIA) in predicting significant respiratory and hemodynamic deterioration was compared to that of usual Tele-ICU care alerts (UCA). [Extracted from the article]

Details

Language :
English
ISSN :
00903493
Volume :
51
Database :
Academic Search Index
Journal :
Critical Care Medicine
Publication Type :
Academic Journal
Accession number :
160833441
Full Text :
https://doi.org/10.1097/01.ccm.0000909628.83049.97