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

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.