Optimization Model for Allocation of Hospital Beds Under the Trend of Aging Population
Yuze “Edward” Gu, Qianwen “Chloe” Luo
Yuze “Edward” Gu
Available Online 20 December 2019.
- https://doi.org/10.2991/aebmr.k.191217.053How to use a DOI?
- Hospital bed allocation, Ageing issues, Optimization model
- Currently, there is an increasing trend for the demand of hospital beds. Due to the increasing cost of healthcare services and the aging of population, the hospitals need to pay more attention to integration of the resource management and hospital bed allocation. In this study, Gini coefficients and Lorenz Curve are used to predict the aging of population, which helps to build up the supply and demand curve of the hospital beds in the long time run. The Erlang Loss Formula is used to analyze the patient flow in the hospitals of the region with the different situations of area and the need for medical care. The Logistic model is used to predict the future outcome of allocation of hospital beds. In the next step, the optimization model is proceeded to get the optimal arrangement of hospital bed allocation.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yuze “Edward” Gu AU - Qianwen “Chloe” Luo PY - 2019 DA - 2019/12/20 TI - Optimization Model for Allocation of Hospital Beds Under the Trend of Aging Population BT - Proceedings of the 2019 International Conference on Economic Management and Cultural Industry (ICEMCI 2019) PB - Atlantis Press SP - 289 EP - 306 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.191217.053 DO - https://doi.org/10.2991/aebmr.k.191217.053 ID - Gu2019 ER -