Demand and Capacity Modelling in Healthcare Using Discrete Event Simulation ()
ABSTRACT
The NHS is right now confronting huge pressures
relating to demand and capacity in radiology. The purpose of this research has
been to provide information about MRI usage, details of operational aspects of
MRI services, and to ascertain the planning intentions of NHS radiology
services to keep up and create MRI capacity. The report expands on using
Discrete Event Simulation (DES) to inspect and plan the utilisation of NHS
hospital resources for the radiology department to help a 24 hr service that is
available to outpatients which will help with diminishing patient waiting time,
better resource usage, understanding the capacity and demand. Consequently,
this research examines to adjust staff and resources with the demand of the
MRI. The research was investigated using DES in various scenarios to find which
resources are inactive; patients are treated slowly. DES helped in discovering
resource utilisation and outpatient throughout the system. It additionally
helped in distinguishing the bottlenecks in patient flow. The DES simulation
results demonstrated that time for the outpatient in the system is less and
more outpatients have been treated too. There is a higher level of outpatient
patients leaving the system under 120 minutes. The report uncovered an MRI
report interpretation time. Reception room time and MRI waiting room time are decreased
significantly. It additionally exhibited with an expanded outflow of
outpatients, resources, for example, MRI capacity and radiographer utilisation
expanded.
Share and Cite:
Singla, S. (2020) Demand and Capacity Modelling in Healthcare Using Discrete Event Simulation.
Open Journal of Modelling and Simulation,
8, 88-107. doi:
10.4236/ojmsi.2020.84007.