Journal of System Simulation
Abstract
Abstract: In order to characterize the self-organized tempo-spatial patterns of wait times in a healthcare service system, a multi-agent cardiac surgery service model (MA-CSS model) was proposed based on the multi-agent modeling within the context of cardiac surgery services. This model pays a special attention to how patients' and hospitals' behaviors and interactions affect the dynamics and relevant patterns of wait times with respect to some key factors, such as geographic accessibility to services, hospital resourcefulness, and wait times. By experimenting with the MA-CSS model, it was observed that certain regularities in wait times emerged from the simulation, which were similar to those discovered from the real world. It reveals the patients' hospital-selection behaviors, hospitals' service-adjustment behaviors, and their interactions via wait times may account for the self-organized tempo-spatial patterns of wait times in cardiac surgery services.
Recommended Citation
Li, Tao; Liang, Luo; Zhang, Zili; Hong, Lai; and Xiao, Fuyuan
(2020)
"Multi-Agent Based Modelling and Simulation for Understanding Tempo-Spatial Patterns of Surgery Wait Times,"
Journal of System Simulation: Vol. 29:
Iss.
5, Article 7.
DOI: 10.16182/j.issn1004731x.joss.201705007
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol29/iss5/7
First Page
979
Revised Date
2016-10-31
DOI Link
https://doi.org/10.16182/j.issn1004731x.joss.201705007
Last Page
987
CLC
TP391.9
Recommended Citation
Tao Li, Luo Liang, Zhang Zili, Lai Hong, Xiao Fuyuan. Multi-Agent Based Modelling and Simulation for Understanding Tempo-Spatial Patterns of Surgery Wait Times[J]. Journal of System Simulation, 2017, 29(5): 979-987.
DOI
10.16182/j.issn1004731x.joss.201705007
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