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Booker, M.T, O’Connell, R.J., Desai, B. and Duddalwar, V.A. (2016) Quality Improvement with Discrete Event Simulation: A Primer for Radiologists. Journal of the American College of Radiology, 13, 417-423.
http://www.sciencedirect.com/science/article/pii/S1546144015013411
http://dx.doi.org/10.1016/j.jacr.2015.11.028

has been cited by the following article:

• TITLE: Modeling and Simulating for Emergency Medical Service System Optimizing Based on Discrete Event System Theory

  AUTHORS: Tian Xie, Yaoyao Wei, Leilei Pan, Tieli Wang, Hairong Chen

  KEYWORDS: Discrete Event System, Simulating, Optimizing, Emergency Medical Service System

  JOURNAL NAME: Open Journal of Social Sciences, Vol.4 No.7, July 21, 2016

  ABSTRACT: Due to the complexity and randomness of emergency demands, it is difficult to describe and analyze the Emergency Medical Service Systems (EMSS) just by certain modeling. Therefore, a stochastic modeling and simulating method for EMSS optimizing is proposed based on the Discrete Event System theory. With a fictive and stochastic medical emergency scenario, the relevant simulation model is constructed with the FLEXSIM software quickly and explicitly. And by simulating and analyzing, it is easily to discover the bottlenecks and to optimize the EMSS system.