Primary Healthcare Delivery Network Simulation using Stochastic Metamodels
Fatma, N; Mohd, S; Ramamohan, V; et al.Mustafee, N
Date: 29 March 2021
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publisher DOI
Abstract
A discrete-event simulation (DES) of the network of primary health centers (PHCs) in a region can be used to
evaluate the effect of changes in patient flow on operational outcomes across the network, and can also form
the base simulation to which simulations of secondary and tertiary care facilities can be added. We present
a DES ...
A discrete-event simulation (DES) of the network of primary health centers (PHCs) in a region can be used to
evaluate the effect of changes in patient flow on operational outcomes across the network, and can also form
the base simulation to which simulations of secondary and tertiary care facilities can be added. We present
a DES of a network of PHCs using stochastic metamodels developed from more detailed DES models of
PHCs (‘parent’ simulations), which were developed separately for comprehensively analyzing individual
PHC operations. The stochastic metamodels are DESs in their own right. They are simplified versions of
the parent simulation with full-featured representations of only those components relevant to the analysis
at hand. We show that the outputs of interest from the metamodels and the parent simulations (including
the network simulations) are statistically similar and that our metamodel-based network simulation yields
reductions of up to 80% in runtimes.
Management
Faculty of Environment, Science and Economy
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