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A Process Simulation Model for a Histopathology Laboratory

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. Green open access

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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
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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