Garg, Lalit, McClean, Sally, Meenan, Brian and Millard, Peter (2009) A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system. Health Care Management Science, 13 (2). pp. 155-169. [Journal article]
Full text not available from this repository.
Healthcare resource planners need to develop policies that ensure optimal allocation of scarce healthcare resources. This goal can be achieved by forecasting daily resource requirements for a given admission policy. If resources are limited, admission should be scheduled according to the resource availability. Such resource availability or demand can change with time. We here model patient flow through the care system as a discrete time Markov chain. In order to have a more realistic representation, a non-homogeneous model is developed which incorporates time-dependent covariates, namely a patient’s present age and the present calendar year. The model presented in this paper can be used for admission scheduling, resource requirement forecasting and resource allocation, so as to satisfy the demand or resource constraints or to meet the expansion or contraction plans in a hospital and community based integrated care system. Such a model can be used with both fixed and variable numbers of admissions per day and should prove to be a useful tool for care managers and policy makers who require to make strategic management decisions. We also describe an application of the model to an elderly care system, using a historical dataset from the geriatric department of a London hospital.
|Item Type:||Journal article|
|Keywords:||Resource management - Admission scheduling - Non-homogeneous Markov model - Stochastic optimal control Resource management - Admission scheduling - Non-homogeneous Markov model - Stochastic optimal control Resource management - Admission scheduling - Non-homogeneous Markov model - Stochastic optimal control Resource management - Admission scheduling - Non-homogeneous Markov model - Stochastic optimal control|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Information Engineering
Faculty of Computing & Engineering > School of Engineering
|Research Institutes and Groups:||Computer Science Research Institute|
Engineering Research Institute
Computer Science Research Institute > Information and Communication Engineering
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
|Deposited By:||Professor Sally McClean|
|Deposited On:||15 Jul 2011 10:09|
|Last Modified:||15 Jul 2011 10:09|
Repository Staff Only: item control page