Paper Info
Title
Simulating the micro-level behavior of emergency department for macro-level features prediction.
Abstract
Emergency departments are currently facing major pressures due to rising demand caused by population growth, aging and high expectations of service quality. With changes continuing to challenge healthcare systems, developing solutions and formulating policies require a good understanding of the complex and dynamic nature of the relevant systems. However, as a typically complex system, it is hard to grasp the nonlinear association between macro-level features and micro-level behavior for a systematic understanding. Instead of describing all the potential causes of this complex issue, in this paper we present a layer-based application framework to discover knowledge of an emergency department system through simulating micro-level behaviors of its components to facilitate a systematic understanding. Finally, case studies are used to demonstrate the potential use of the proposed approach. Results show that the proposed framework can significantly reflect the non-linear association between micro-level behavior and macro-level features.
Year
DOI
Venue
2015
10.1109/WSC.2015.7408162
Winter Simulation Conference
Keywords
Field
DocType
nonlinear association,knowledge discovery,layer-based application framework,healthcare systems,service quality,aging,population growth,macro-level feature prediction,emergency department,microlevel behavior simulation
GRASP,Service quality,Computer science,Emergency department,Simulation,Population growth,Macro,Healthcare system,Application framework
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-4673-9741-4
4
PageRank 
References 
Authors
0.56
9
5
Name
Order
Citations
PageRank
Zhengchun Liu14912.14
Dolores Rexachs219543.20
Emilio Luque31097176.18
Francisco Epelde48610.21
Eduardo Cabrera5776.60