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2023 | OriginalPaper | Chapter

Real-Time Scheduling of Bed Resource Allocation to Improve Emergency Overcrowding

Authors : Shao-Jen Weng, Chih-Hao Chen, Yao-Te Tsai, Shih-Chia Liu

Published in: Intelligent and Transformative Production in Pandemic Times

Publisher: Springer International Publishing

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Abstract

Previous studies usually investigated improve the overcrowding in the emergency department (ED) as the research goal. In the case of limited medical resources, the congestion in the ED was due to the capacity of the hospital, and the imbalance of resources in the hospital is one of the bottlenecks. For this problem, we simulated the use of bed resources in different departments through discrete events, and dispatched the allocation of bed resources in real time. Finally, we compared three bed resource scheduling plans. This study shows that the best plan can improve the proportion of admitted patients held >48 h from the original 5.08 to 1.83%; The proportion of admitted patients held >24 h, stays dropped from 19.49 to 16.21%, and the variance of daily ED occupancy was reduced by 7%.

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previous chapter Dual Resource Scheduling in Trauma Care Centre with Time Varying Patient Demand
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Metadata
Title
Real-Time Scheduling of Bed Resource Allocation to Improve Emergency Overcrowding
Authors
Shao-Jen Weng
Chih-Hao Chen
Yao-Te Tsai
Shih-Chia Liu
Copyright Year
2023
Book
Intelligent and Transformative Production in Pandemic Times

Print ISBN: 978-3-031-18640-0

Electronic ISBN: 978-3-031-18641-7

Copyright Year: 2023

DOI
https://doi.org/10.1007/978-3-031-18641-7_81

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