TY - GEN
T1 - Comparison of ambulance diversion policies via simulation
AU - Ramirez-Nafarrate, Adrian
AU - Hafizoglu, A. Baykal
AU - Gel, Esma
AU - Fowler, John
PY - 2012/12/1
Y1 - 2012/12/1
N2 - Ambulance diversion (AD) is often used by emergency departments (EDs) to relieve congestion. When an ED is on diversion status, the ED requests ambulances to bypass the facility; therefore ambulance patients are transported to another ED. This paper studies the effect of AD policies on the average waiting time of patients. The AD policies analyzed include (i) a policy that initiates diversion when all the beds are occupied; (ii) a policy obtained by using a Markov Decision Process (MDP) formulation, and (iii) a policy that does not allow diverting at all. The analysis is based on an ED that comprises two treatment areas. The diverted patients are assumed to be transported to a neighboring ED, whose average waiting time is known. The results show significant improvement in the average waiting time spent by patients in the ED with the policy obtained by MDP formulation. In addition, other heuristics are identified to work well compared with not diverting at all.
AB - Ambulance diversion (AD) is often used by emergency departments (EDs) to relieve congestion. When an ED is on diversion status, the ED requests ambulances to bypass the facility; therefore ambulance patients are transported to another ED. This paper studies the effect of AD policies on the average waiting time of patients. The AD policies analyzed include (i) a policy that initiates diversion when all the beds are occupied; (ii) a policy obtained by using a Markov Decision Process (MDP) formulation, and (iii) a policy that does not allow diverting at all. The analysis is based on an ED that comprises two treatment areas. The diverted patients are assumed to be transported to a neighboring ED, whose average waiting time is known. The results show significant improvement in the average waiting time spent by patients in the ED with the policy obtained by MDP formulation. In addition, other heuristics are identified to work well compared with not diverting at all.
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U2 - 10.1109/WSC.2012.6465245
DO - 10.1109/WSC.2012.6465245
M3 - Conference contribution
SN - 9781467347792
T3 - Proceedings - Winter Simulation Conference
BT - Proceedings of the 2012 Winter Simulation Conference, WSC 2012
T2 - 2012 Winter Simulation Conference, WSC 2012
Y2 - 9 December 2012 through 12 December 2012
ER -