• DocumentCode
    677696
  • Title

    Pre-hospital simulation model for medical disaster management

  • Author

    Ullrich, Christophe ; Van Utterbeeck, Filip ; Dejardin, Emilie ; Debacker, Michel ; Dhondt, Erwin

  • Author_Institution
    Dept. of Math., R. Mil. Acad., Brussels, Belgium
  • fYear
    2013
  • fDate
    8-11 Dec. 2013
  • Firstpage
    2432
  • Lastpage
    2443
  • Abstract
    Medical disaster management research aims at identifying methodologies and rules of best practice and evaluates performance and outcome indicators for medical disaster management. However, the conduct of experimental studies is either impossible or ethically inappropriate. We generate realistic victim profiles for medical disaster simulations based on medical expertise. These profiles are used in a medical disaster model where victim entities evolve in parallel through a medical response model and a victim pathway model. The medical response model focuses on the pre-hospital phase which includes triage procedures, evacuation processes and medical processes. Medical decisions such as whether to evacuate or to treat the current victim are based on the RPM (respiratory rate, pulse rate, motor response) parameters of the victim. We present results for a simulated major road accident and show how the level of resource can influence outcome indicators.
  • Keywords
    emergency management; medical administrative data processing; RPM; evacuation process; medical decision; medical disaster management; medical disaster simulation; medical expertise; medical process; medical response model; motor response; prehospital phase; prehospital simulation model; pulse rate; respiratory rate; road accident; triage procedure; victim pathway model; victim profile; Adaptation models; Disaster management; Discrete event simulation; Hospitals; Medical diagnostic imaging; Object oriented modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), 2013 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4799-2077-8
  • Type

    conf

  • DOI
    10.1109/WSC.2013.6721617
  • Filename
    6721617