Abstract
| Language | English |
|---|---|
| Pages | 155-169 |
| Journal | Health Care Management Science |
| Volume | 13 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 3 Dec 2009 |
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Keywords
- Resource management
- Admission scheduling
- Non-homogeneous Markov model
- Stochastic optimal control
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A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system. / Garg, Lalit; McClean, Sally; Meenan, Brian; Millard, Peter.
In: Health Care Management Science, Vol. 13, No. 2, 03.12.2009, p. 155-169.Research output: Contribution to journal › Article
TY - JOUR
T1 - A non-homogeneous discrete time Markov model for admission scheduling and resource planning in a cost or capacity constrained healthcare system
AU - Garg, Lalit
AU - McClean, Sally
AU - Meenan, Brian
AU - Millard, Peter
PY - 2009/12/3
Y1 - 2009/12/3
N2 - 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.
AB - 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.
KW - Resource management
KW - Admission scheduling
KW - Non-homogeneous Markov model
KW - Stochastic optimal control
U2 - 10.1007/s10729-009-9120-0
DO - 10.1007/s10729-009-9120-0
M3 - Article
VL - 13
SP - 155
EP - 169
JO - Health Care Management Science
T2 - Health Care Management Science
JF - Health Care Management Science
SN - 1386-9620
IS - 2
ER -