Reducing time in an emergency room via a fast-track
WSC '95 Proceedings of the 27th conference on Winter simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Proceedings of the 35th conference on Winter simulation: driving innovation
Emergency departments II: simulating Six Sigma improvement ideas for a hospital emergency department
Proceedings of the 35th conference on Winter simulation: driving innovation
Understanding accident and emergency department performance using simulation
Proceedings of the 38th conference on Winter simulation
Journal of Medical Systems
Input modeling for hospital simulation models using electronic messages
Winter Simulation Conference
An Application of Business Process Method to the Clinical Efficiency of Hospital
Journal of Medical Systems
Prescription-Filling Process Reengineering of an Outpatient Pharmacy
Journal of Medical Systems
Bi-criteria analysis of ambulance diversion policies
Proceedings of the Winter Simulation Conference
A stochastic control approach to avoiding emergency department overcrowding
Proceedings of the Winter Simulation Conference
Assessing the impact of stochasticity for operating theater sizing
Decision Support Systems
HIKM '13 Proceedings of the Sixth Australasian Workshop on Health Informatics and Knowledge Management - Volume 142
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A discreet event simulation methodology has been used to establish a quantitative relationship between Emergency Department (ED) performance characteristics, such as percent of time on ambulance diversion and the number of patients in queue in the waiting room, and the upper limits of patient length of stay (LOS). A simulation process model of ED patient flow has been developed that took into account a significant difference between LOS distributions of patients discharged home and patients admitted into the hospital. Using simulation model it has been identified that ED diversion could be negligible (less than ~0.5%) if patients discharged home stay in ED not more than 5 h, and patients admitted into the hospital stay in ED not more than 6 h Using full factorial design of experiments with two factors and the model's predicted percent diversion as a response function, other combinations of LOS upper limits have been determined that would result in low ED percent diversion as well. It has also been determined that if the number of patients exceeds 11 in queue in ED waiting room then the diversion percent is rapidly increasing.