• 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