TY - JOUR
T1 - Combining data mining and discrete event simulation for a value-added view of a hospital emergency department
AU - Ceglowski, Andrzej Stefan
AU - Churilov, Leonid
AU - Wassertheil, Jeff
PY - 2007
Y1 - 2007
N2 - While simulation models have furthered understanding of the operations of emergency departments (EDs) and the dynamics of the ED within the healthcare system, they only model patient treatment implicitly, tracing the paths patients follow through the ED. By identifying the core patient treatments provided by the ED and incorporating them into a Discrete Event Simulation model, this paper provides insight into the complex relationship between patient urgency, treatment and disposal, and the occurrence of queues for treatment. The essential characteristics of the presented model are used to indicate a generally applicable methodology for identifying bottlenecks in the interface between an ED and a hospital ward.
AB - While simulation models have furthered understanding of the operations of emergency departments (EDs) and the dynamics of the ED within the healthcare system, they only model patient treatment implicitly, tracing the paths patients follow through the ED. By identifying the core patient treatments provided by the ED and incorporating them into a Discrete Event Simulation model, this paper provides insight into the complex relationship between patient urgency, treatment and disposal, and the occurrence of queues for treatment. The essential characteristics of the presented model are used to indicate a generally applicable methodology for identifying bottlenecks in the interface between an ED and a hospital ward.
UR - http://<Go to ISI>://000244084900013
M3 - Article
SN - 0160-5682
VL - 58
SP - 246
EP - 254
JO - Journal of the Operational Research Society
JF - Journal of the Operational Research Society
IS - 2
ER -