Inpatient bed allocation policy under uncertain capacity

Liu, Xing; Chen, Youhua; Luo, Li; Zhu, Ting; Shen, Wenwu; Taiwo, Enayon Sunday

doi:10.1016/j.jmse.2020.01.003

Cited by 5 publications

(1 citation statement)

References 31 publications

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“…There are various research conducted on bed allocation problem and many frameworks have been evolved. A data-driven hybrid framework for bed allocation was suggested in the paper [1] , multistage healthcare service interactions under blocking [2] , meta modelbased simulation optimization [3] , Plan validation based methods [4] and the various other bed allocation problem framework [6][7][8][9][10] were presented. The previous papers on bed allocation problem concentrated on emergency departments where the patient's inflow might not be predictable.…”

Section: Hospital Bed Allocation Problemmentioning

confidence: 99%

An Enhanced Resource Allocation Algorithm to Allocate Hospital Beds during the COVID19 Pandemic

Gayathri

2021

2021 Third International Conference on Inventive Research in Computing Applications (ICIRCA)

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The Covid 19 or corona virus Pandemic in the current situation is growing tremendously in India and there are huge numbers of positive cases recorded daily. The nature of the pandemic is that it causes respiratory infections ranging from common cold to severe infection. During the respiratory infections the patients would need hospital beds in critical care and ventilator support. The patients with high critical conditions are being allocated with hospital beds where the number patients are in huge number. This paper has developed an enhanced resource allocation algorithm based on the evolutionary algorithm multi objective dragonfly algorithm and queuing theory which can be utilized for bed allocation in general hospitals.

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