Using a Hybrid Simulation Model to Maximize Patient Throughput of Magnetic Resonance Imaging in a Medical Center

Li-Hui Lee, Yang-Yu Ou, Yu-Ting Cheng, Ying-Chou Sun, Hsiu-Mei Wu, Wan-You Guo

2019

Abstract

The purpose of this study is to shorten the waiting time of a patient to undergo a magnetic resonance imaging (MRI) examination as well as to increase the utilization rates of the five MRI scanners in a 2,735-bed medical center of Taiwan. We simulate the current MRI examination workflow through a hybrid simulation model, consisting of discrete event and agent-based simulations. Then, we maximize the MRI patient throughput per day with more radiographers during current business hours. For reasons of feasibility, a cost-effectiveness analysis is also conducted. AnyLogic, Excel, and SAS were used for building the simulation models and conducting the statistical analysis. The results show that providing 248 additional patient examinations with one additional radiographer employed during the 11:00 to 19:00 time frame would shorten the waiting time of a patient to undergo an MRI examination by 2.51 days, increase the utilization rate of each MRI scanner by an average of 6.15%, and bring an additional gross income of US$38,424 to US$69,169 per 31-day month.

Paper Citation

in Harvard Style

Lee L., Ou Y., Cheng Y., Sun Y., Wu H. and Guo W. (2019). Using a Hybrid Simulation Model to Maximize Patient Throughput of Magnetic Resonance Imaging in a Medical Center.In Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH, ISBN 978-989-758-381-0, pages 309-316. DOI: 10.5220/0007932003090316

in Bibtex Style

@conference{simultech19,
author={Li-Hui Lee and Yang-Yu Ou and Yu-Ting Cheng and Ying-Chou Sun and Hsiu-Mei Wu and Wan-You Guo},
title={Using a Hybrid Simulation Model to Maximize Patient Throughput of Magnetic Resonance Imaging in a Medical Center},
booktitle={Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,},
year={2019},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007932003090316},
isbn={978-989-758-381-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - Using a Hybrid Simulation Model to Maximize Patient Throughput of Magnetic Resonance Imaging in a Medical Center
SN - 978-989-758-381-0
AU - Lee L.
AU - Ou Y.
AU - Cheng Y.
AU - Sun Y.
AU - Wu H.
AU - Guo W.
PY - 2019
SP - 309
EP - 316
DO - 10.5220/0007932003090316