A Data-Driven Hybrid Three-Stage Framework for Hospital Bed Allocation: A Case Study in a Large Tertiary Hospital in China
المؤلفون المشاركون
Luo, Li
Li, Jialing
Xu, Xueru
Shen, Wenwu
Xiao, Lin
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-05-02
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص 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.
نمط استشهاد جمعية علماء النفس الأمريكية (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
نمط استشهاد الجمعية الأمريكية للغات الحديثة (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
نمط استشهاد الجمعية الطبية الأمريكية (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
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130689
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر