A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations

  title={A High-Fidelity, Machine-Learning Enhanced Queueing Network Simulation Model For Hospital Ultrasound Operations},
  author={Yihan Pan and Zhenghang Xu and Jin Guang and Jingjing Sun and Chengwenjian Wang and Xuanming Zhang and Xinyun Chen and Jim G. Dai and Yichuan Ding and P. Shi and Hongxin Pan and Kairan Yang and Song Wu},
  journal={2021 Winter Simulation Conference (WSC)},
We collaborate with a large teaching hospital in Shenzhen, China and build a high-fidelity simulation model for its ultrasound center to predict key performance metrics, including the distributions of queue length, waiting time and sojourn time, with high accuracy. The key challenge to build an accurate simulation model is to understand the complicated patient routing at the ultrasound center. To address the issue, we propose a novel two-level routing component to the queueing network model and… 
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