Optimization Model for Allocation of Hospital Beds Under the Trend of Aging Population

DOI

10.2991/aebmr.k.191217.053How to use a DOI?

Keywords

Hospital bed allocation, Ageing issues, Optimization model

Abstract

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.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/aebmr.k.191217.053
ID  - Gu2019
ER  -