A Process Simulation Model for a Histopathology Laboratory

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.

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Publication Details

Published
2024-12-15
DOI
https://doi.org/10.1109/wsc63780.2024.10838731
Citations
1
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.49
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article

A Process Simulation Model for a Histopathology Laboratory

Yin-Chi Chan, Anandarup Mukherjee, Jorge Merino, Ajith Kumar Parlikad et al.
1 citations
Simulation Techniques and Applications
0.49
article

A Process Simulation Model for a Histopathology Laboratory

Yin-Chi Chan, Anandarup Mukherjee, Jorge Merino, Ajith Kumar Parlikad, Nicola Moretti, Duncan McFarlane, Zahrah Rosun, M. Nakaoka, Colin Carr
article en
1 citations

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.

University of Cambridge (GB), Addenbrooke's Hospital (GB), University College London (GB)
Openalex Percentile: Top 27%
Simulation Techniques and Applications
0.49
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A Process Simulation Model for a Histopathology Laboratory — Yin-Chi Chan, Anandarup Mukherjee, et al. · (2024) | TGRS Research Map | TGRS