ArticleComputational and mathematical methods in medicine2019
A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China.
Article in Computational and mathematical methods in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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4 citing papers in PubMed.
- Equity and Prediction of Bed Allocation of the Department of Stomatology in Chinese Hospitals.Risk management and healthcare policy · 2024Article
- The working experience of medical staff in the hospital-wide bed-sharing mode: A qualitative study.Nursing open · 2023Article
- Patient Mix Optimization in Admission Planning under Multitype Patients and Priority Constraints.Computational and mathematical methods in medicine · 2021Article
- Qualitative Analyses of the Reasons Why Patients Do Not Attend Scheduled Inpatient Appointments in a Hospital in Guangzhou, China.Risk management and healthcare policy · 2020Article
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5 authors.
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Abstract
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,
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