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.
Authors
- Yin-Chi Chan (ORCID: https://orcid.org/0000-0002-2405-8472)
- Anandarup Mukherjee (ORCID: https://orcid.org/0000-0002-3165-1151)
- Jorge Merino (ORCID: https://orcid.org/0000-0001-7580-3164)
- Ajith Kumar Parlikad (ORCID: https://orcid.org/0000-0001-6214-1739)
- Nicola Moretti (ORCID: https://orcid.org/0000-0002-7197-8677)
- Duncan McFarlane
- Zahrah Rosun
- M. Nakaoka (ORCID: https://orcid.org/0000-0002-7197-1360)
- Colin Carr
Institutions
- University of Cambridge (GB)
- Addenbrooke's Hospital (GB)
- University College London (GB)
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