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.
| Original language | English |
|---|---|
| Title of host publication | Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings |
| Editors | Masoud Fakhimi, Tom Boness, Duncan Robertson |
| Publisher | Operational Research Society |
| Pages | 210-220 |
| Number of pages | 11 |
| ISBN (Electronic) | 9780903440660 |
| DOIs | |
| Publication status | Published - 2021 |
| Event | 10th Operational Research Society Simulation Workshop, SW 2021 - Virtual, Online Duration: 22 Mar 2021 → 26 Mar 2021 |
Publication series
| Name | Operational Research Society 10th Simulation Workshop, SW 2021 - Proceedings |
|---|
Conference
| Conference | 10th Operational Research Society Simulation Workshop, SW 2021 |
|---|---|
| City | Virtual, Online |
| Period | 22/03/21 → 26/03/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Computed tomography
- Covid-19
- Discrete event modelling
- Rich picture
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