DocumentCode :
2494395
Title :
Continuous Multiorgan Variability monitoring in critically ill patients — Complexity science at the bedside
Author :
Seely, Andrew JE ; Green, Geoffrey C. ; Bravi, Andrea
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
5503
Lastpage :
5506
Abstract :
Complex systems science has led to valuable insights regarding the care and understanding of critical illness, but has not led to fundamental improvements to care to date. Realizing the fact that there is inherent uncertainty in patient trajectory, we have developed Continuous Individual Multiorgan Variability Analysis (CIMVA) as a tool theoretically and practically designed to track the systemic emergent properties of the host response to injury or infection. We present an overview of CIMVA software, and discuss four separate potential clinical applications that we are evaluating; including early detection of infection, better prediction of extubation failure, continuous monitoring of severity of illness in the ICU, and the evaluation of cardiopulmonary fitness. Future challenges are discussed in conclusion.
Keywords :
diseases; large-scale systems; medical diagnostic computing; patient monitoring; CIMVA; complex systems; continuous individual multiorgan variability analysis; critical illness; infection; injury; patient trajectory; Biomedical monitoring; Complexity theory; Heart rate variability; Monitoring; Pollution measurement; Uncertainty; Algorithms; Computer Simulation; Critical Care; Critical Illness; Diagnosis, Computer-Assisted; Humans; Models, Biological;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091404
Filename :
6091404
Link To Document :
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