Chan, YC;
Mukherjee, A;
Moretti, N;
Nakaoka, M;
Merino, J;
Rosun, Z;
Carr, C;
... Parlikad, AK; + view all
(2025)
A Process Simulation Model for a Histopathology Laboratory.
In:
2024 Winter Simulation Conference (WSC).
(pp. pp. 846-857).
IEEE: Orlando, FL, USA.
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Abstract
Currently, although simulation models considering pathology departments exist, either in isolation or as part of a larger hospital model, they generally do not consider the individual steps within the histopathology process itself, instead adopting a high-level view of the histopathology laboratory. This prevents the study of policies that can improve efficiency, reduce the laboratory turnaround time (TAT), and/or reduce the staffing costs required to achieve a certain level of laboratory throughput. In this paper, we consider a discrete-event simulation model for a histopathology department at a hospital in the East of England, UK. Our model captures the histopathology department with a higher level of detail than currently exists in the literature, and address some specific simulation challenges that arise from such a modeling approach. We then demonstrate how our simulation model can be used to answer various management questions regarding staffing levels, TAT and the trade-offs between them.
Type: | Proceedings paper |
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Title: | A Process Simulation Model for a Histopathology Laboratory |
Event: | 2024 Winter Simulation Conference (WSC) |
Dates: | 15 Dec 2024 - 18 Dec 2024 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/WSC63780.2024.10838731 |
Publisher version: | https://doi.org/10.1109/wsc63780.2024.10838731 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
URI: | https://discovery.ucl.ac.uk/id/eprint/10206207 |



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