loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Li-Hui Lee 1 ; Yang-Yu Ou 1 ; Yu-Ting Cheng 1 ; Ying-Chou Sun 2 ; Hsiu-Mei Wu 2 and Wan-You Guo 2

Affiliations: 1 Department of Health Care Management, National Taipei University of Nursing and Health Sciences, No. 89, Neijiang Street, Wanhua District, Taipei City and Taiwan ; 2 Department of Radiology, Taipei Veterans General Hospital, No.201, Sec. 2, Shipai Rd., Beitou Dist., Taipei City 112 and Taiwan

Keyword(s): Agent-based, Magnetic Resonance Imaging, Waiting Time, Throughput, Cost-effectiveness Analysis.

Related Ontology Subjects/Areas/Topics: Computer Simulation Techniques ; Discrete-Event Simulation ; Formal Methods ; Simulation and Modeling ; Simulation Tools and Platforms

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. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.234.165.107

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
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 - SIMULTECH; ISBN 978-989-758-381-0; ISSN 2184-2841, SciTePress, pages 309-316. DOI: 10.5220/0007932003090316

@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 - SIMULTECH},
year={2019},
pages={309-316},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007932003090316},
isbn={978-989-758-381-0},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - 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
IS - 2184-2841
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
PB - SciTePress