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Markovian decision-support model for patient-to-ward assignment problem in a random environment

Citation

Heydar, M and O'Reilly, MM, Markovian decision-support model for patient-to-ward assignment problem in a random environment, Proceedings of the 10th International Conference on Matrix-Analytic Methods in Stochastic Models, 13-15 February 2019, Hobart, Australia, pp. 33-34. ISBN 978-0-646-99707-0 (2019) [Conference Extract]


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Abstract

The purpose of this research is to model the decision making process in a hospital in which patients are allocated to beds in different wards, according to their needs, priorities, as well as availability of the resources. The problem analysed here is a generalisation of the advanced patient admission scheduling (APAS) problem studied in [1, 2, 6], in which patients are admitted and allocated to the hospital capacitated resources [2] over some planning horizon.

Item Details

Item Type:Conference Extract
Keywords:patient assignment problem, Markov decision processes, healthcare systems
Research Division:Mathematical Sciences
Research Group:Applied Mathematics
Research Field:Operations Research
Objective Division:Economic Framework
Objective Group:Management and Productivity
Objective Field:Public Sector Productivity
UTAS Author:Heydar, M (Dr Mojtaba Heydar)
UTAS Author:O'Reilly, MM (Associate Professor Malgorzata O'Reilly)
ID Code:131307
Year Published:2019
Deposited By:Office of the School of Natural Sciences
Deposited On:2019-03-12
Last Modified:2019-03-18
Downloads:3 View Download Statistics

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