TY - GEN
T1 - Casualty Evacuation Resources in Disaster Situations
T2 - 21st International Industrial Simulation Conference, ISC 2023
AU - Benhassine, Mehdi
AU - Van Utterbeeck, Filip
AU - De Rouck, Ruben
AU - Debacker, Michel
AU - Hubloue, Ives
AU - Quinn, John
AU - Dhondt, Erwin
N1 - Publisher Copyright:
© 2023 EUROSIS-ETI.
PY - 2023
Y1 - 2023
N2 - During a mass casualty incident (MCI), the quick distribution of victims to medical treatment facilities (MTF) can have a tremendous impact on mortality of casualties. In the case of an inadequate response like when the number of available medical resources (personnel, supplies etc.) is insufficient, delays to medical care mount and preventable mortality can increase. To quantify the shift in timelines of treatment and arrival to hospitals, computer simulation makes it possible to test disaster medical management practices and to better quantify the effect of a constrained response in a practical way. As such we studied the evacuation of multiple casualties in a hypothetical scenario of an artillery strike, using thereby a routing algorithm applied to the map of Belgium. While the Emergency Medical Services (EMS) system was alerted to bring victims as fast as possible to a nearby MTF, we varied the number of ambulances responsible for evacuation and simulated the outcome in terms of arrival times to the MTF of final destination and mortality. These data were then compared using a different approach providing all ambulances available for direct hospital evacuation. The results show a delay in arrival at the hospital of 180 minutes on average as well as an increase in mortality of 27.36 %, when reducing the amount of used ambulances to a quarter. Results recommend the allocation of sufficient ambulances able to transport victims directly form the disaster and the quick distribution of victims to MTFs with the management of peripheral hemorrhage if necessary.
AB - During a mass casualty incident (MCI), the quick distribution of victims to medical treatment facilities (MTF) can have a tremendous impact on mortality of casualties. In the case of an inadequate response like when the number of available medical resources (personnel, supplies etc.) is insufficient, delays to medical care mount and preventable mortality can increase. To quantify the shift in timelines of treatment and arrival to hospitals, computer simulation makes it possible to test disaster medical management practices and to better quantify the effect of a constrained response in a practical way. As such we studied the evacuation of multiple casualties in a hypothetical scenario of an artillery strike, using thereby a routing algorithm applied to the map of Belgium. While the Emergency Medical Services (EMS) system was alerted to bring victims as fast as possible to a nearby MTF, we varied the number of ambulances responsible for evacuation and simulated the outcome in terms of arrival times to the MTF of final destination and mortality. These data were then compared using a different approach providing all ambulances available for direct hospital evacuation. The results show a delay in arrival at the hospital of 180 minutes on average as well as an increase in mortality of 27.36 %, when reducing the amount of used ambulances to a quarter. Results recommend the allocation of sufficient ambulances able to transport victims directly form the disaster and the quick distribution of victims to MTFs with the management of peripheral hemorrhage if necessary.
KW - Mass Casualty Incidents Evacuation
KW - Patient Routing
UR - http://www.scopus.com/inward/record.url?scp=85184798913&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85184798913
T3 - 21st International Industrial Simulation Conference, ISC 2023
SP - 101
EP - 106
BT - 21st International Industrial Simulation Conference, ISC 2023
A2 - Camilleri, Liberato
A2 - Caruana, Mark Anthony
A2 - Suda, David
PB - EUROSIS
Y2 - 31 May 2023 through 2 June 2023
ER -