An emergency department simulation and a neural network metamodel.
This paper describes a discrete event stochastic simulation of a hospital emergency department, and the development of a metamodel of that simulation. The metamodeling technique used is artificial neural networks, which are trained utilizing the output of the simulation. The performance of the neural network metamodel is compared to the simulation performance for estimating the mean and variance of patient time in the emergency department.
Kilmer
R A
RA
Army War College, Carlisle, PA, USA.
Smith
A E
AE
Shuman
L J
LJ
D001071:Appointments and Schedules; D003198:Computer Simulation; D004636:Emergency Service, Hospital / Q000458:organization & administration* / Q000706:statistics & numerical data; D006753:Hospital Records; D006801:Humans; D017146:Models, Organizational; D016571:Neural Networks, Computer; D017064:Process Assessment, Health Care; D015203:Reproducibility of Results; D012985:Software Design; D013996:Time and Motion Studies; D014218:Triage; D000078329:Workforce