Optimising Scheduling for Computed Tomography Imaging in a Healthcare Setting Using Discrete Event Simulation

Dunne, Jack (2023) Optimising Scheduling for Computed Tomography Imaging in a Healthcare Setting Using Discrete Event Simulation. Masters thesis, Dublin, National College of Ireland.

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Abstract

One of the big challenges facing the Irish healthcare system is managing the dramatic increase in the quantity and cost of radiological imaging. Waiting lists are predicted to soar as patient care becomes increasingly complex, and new imaging modalities are being developed and utilised. Discrete Event Simulation is a simulation technique that is used to model and test different scenarios in a virtual environment, to enhance real world decisions. This paper proposes a simulation model that will emulate a radiology department where patients are attending for their scheduled investigations. The model is created using domain-specific-knowledge, with many accurate features as well as incorporating stochastic processes, to best represent a real-life department. By analysing key patient flow factors, such as inter-arrival time and resource utilisation, insights are revealed into scheduling bottlenecks, which can then be addressed to improve the overall efficiency. This model will allow radiology departments to better inform their resource allocation, to increase their departments productivity and enhance patient care.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Trinh, Anh Duong UNSPECIFIED
Uncontrolled Keywords:	Radiology; Computed Tomography; Discrete Event Simulation; Simulation; Operations Research; Ireland; Python
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science R Medicine > RB Pathology T Technology > Biomedical engineering
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Tamara Malone
Date Deposited:	22 Nov 2024 10:40
Last Modified:	22 Nov 2024 10:40
URI:	https://norma.ncirl.ie/id/eprint/7182

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