A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China
Joint Authors
Luo, Li
Li, Jialing
Xu, Xueru
Shen, Wenwu
Xiao, Lin
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-05-02
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Beds are key, scarce medical resources in hospitals.
The bed occupancy rate (BOR) amongst different departments within large tertiary hospitals is very imbalanced, a situation which has led to problems between the supply of and the demand for bed resources.
This study aims to balance the utilization of existing beds in a large tertiary hospital in China.
We developed a data-driven hybrid three-stage framework incorporating data analysis, simulation, and mixed integer programming to minimize the gaps in BOR among different departments.
The first stage is to calculate the length of stay (LOS) and BOR of each department and identify the departments that need to be allocated beds.
In the second stage, we used a fitted arrival distribution and median LOS as the input to a generic simulation model.
In the third stage, we built a mixed integer programming model using the results obtained in the first two stages to generate the optimal bed allocation strategy for different departments.
The value of the objective function, Z, represents the severity of the imbalance in BOR.
Our case study demonstrated the effectiveness of the proposed data-driven hybrid three-stage framework.
The results show that Z decreases from 0.7344 to 0.0409 after re-allocation, which means that the internal imbalance has eased.
Our framework provides hospital bed policy makers with a feasible solution for bed allocation.
American Psychological Association (APA)
Luo, Li& Li, Jialing& Xu, Xueru& Shen, Wenwu& Xiao, Lin. 2019. A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1130689
Modern Language Association (MLA)
Luo, Li…[et al.]. A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1130689
American Medical Association (AMA)
Luo, Li& Li, Jialing& Xu, Xueru& Shen, Wenwu& Xiao, Lin. A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1130689
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130689