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

@article{Pan2021AHM,
  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)},
  year={2021},
  pages={1-12}
}
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… 
1 Citations
Learning and Information in Stochastic Networks and Queues
  • N. Walton, Kuang Xu
  • Computer Science
    Tutorials in Operations Research: Emerging Optimization Methods and Modeling Techniques with Applications
  • 2021
TLDR
It is proved that the MaxWeight and BackPressure policies are an application of Blackwell’s Approachability Theorem, which connects queueing theoretic results with adversarial learning.

References

SHOWING 1-10 OF 23 REFERENCES
Improving patient flow at hospital emergency services — A simulation study
TLDR
This paper develops a queueing model and numerically test possible strategies to alleviate crowding and proposes a plan for further research and some open questions.
A decision-support simulator for improving patient flow and increasing capacity at an eye outpatient department
  • C. K. Lin
  • Business, Medicine
    2013 IEEE Symposium on Computational Intelligence in Healthcare and e-health (CICARE)
  • 2013
TLDR
A decision support tool based on computer simulation is developed to identify dynamic bottlenecks and assess the impact of improvement scenarios with the aim to increase service capacity by combining promising improvement scenarios.
A simulation model of patient flow through the emergency department to determine the impact of a short stay unit on hospital congestion
TLDR
A discrete-event simulation model of a hospital system (ED, inpatient units, and SSUs) is introduced and it is contended that performance metrics, e.g. time to first contact, critically depend on downstream hospital units.
Evaluating an Emergency Department Care Redesign: A Simulation Approach
TLDR
This paper seeks to compare a pod system against the unit-based design at Southeastern Health’s ED using a discrete event simulation and shows the pod system maintains quality of care metrics while increasing resource utilization, establishing proof of concept that an optimized pod system can improve flow in the ED.
Using simulation modeling to improve patient flow at an outpatient orthopedic clinic
TLDR
Statistical analysis of data taken before and after the implementation of discrete event simulation modeling indicate that waiting time measures were significantly improved and overall patient time in the clinic was reduced.
Improvement of chemotherapy patient flow and scheduling in an outpatient oncology clinic
TLDR
The results show that patient waiting times and clinic total working times can be reduced, and a more balanced resource utilisation can be achieved using better scheduling methods.
A simulation based analysis on reducing patient waiting time for consultation in an outpatient eye clinic
TLDR
Analysis and recommendations for reducing patient waiting time at the eye clinic are provided and it is found that patients' irregular arrival pattern during a day is one of the main causes of the long waiting time.
Outpatient clinic scheduling - a simulation approach
TLDR
A simulation framework for the evaluation and optimization of scheduling rules is presented and an experience with a preliminary implementation for the Division of Pediatric Ophthalmology at Cincinnati Children's Hospital Medical Center is summarized.
A Simulation Study of Outpatient Surgery Clinic with Stochastic Patient Re-Entrance
TLDR
A simulation model is developed to study the operational performance of an MMS clinic with a given appointment schedule used in practice and reveals how the waiting time and clinic overtime is affected by different stochastic factors.
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