@inproceedings{6c8d935d0dfa44dcae342daba1013d87,
title = "Modelling methods-Repurposing a discrete event simulation model to include covid 19 workflow changes in a computed tomography department",
abstract = "The importance of infection control has taken centre stage with the arrival of Covid-19, and radiology staff must take precautions to limit contamination. This paper identified the changes required to an existing discrete event simulation model of a CT service to repurpose it for post COVID-19. Methods: Radiology workflow was mapped using Microsoft Visio to capture changes to roles, tasks and communications. Task and delay times were observed. Interviews with cleaning and clinical staff verified observational findings. Rich picture diagramming was used to include staff perceptions. In partnership with decision makers a culturally desirable and feasible scenario was identified and the increase in the consumed staff time post COVID-19 demonstrated. Conclusion: While CT throughput has decreased, the individual inpatient workload in terms of staff resource utilisation has increased. Separate inpatient and outpatient services are recommended to increase throughput and efficiency.",
keywords = "Computed tomography, Covid-19, Discrete event modelling, Rich picture",
author = "Mary Conlon and Owen Molloy",
note = "Publisher Copyright: {\textcopyright} 2021 SW 2021. All rights reserved.; 10th Operational Research Society Simulation Workshop, SW 2021 ; Conference date: 22-03-2021 Through 26-03-2021",
year = "2021",
doi = "10.36819/SW21.023",
language = "English",
series = "Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings",
publisher = "Operational Research Society",
pages = "210--220",
editor = "Masoud Fakhimi and Tom Boness and Duncan Robertson",
booktitle = "Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings",
}