Simulation as a tool to model potential workflow enhancements in radiotherapy treatment pathways – A systematic review

Robinson, Andrew; Asaduzzaman, Md; Jena, Raj; Naemi, Roozbeh

Abstract

This systematic review aimed to synthesize and summarize the use of simulation of radiotherapy pathways. The objective was to establish the suitability of those simulations in modeling the potential introduction of processes and technologies to speed up radiotherapy pathways. A systematic literature search was carried out using PubMed and Scopus databases to evaluate the use of simulation in radiotherapy pathways. Full journal articles and conference proceedings were considered, and the search was limited to the English language only. To be eligible for inclusion, articles had to model multiple sequential processes in the radiotherapy pathway concurrently to demonstrate the suitability of simulation modeling in typical pathways. Papers solely modeling scheduling, capacity, or queuing strategies were excluded. In total, 151 potential studies were identified and screened to find 18 relevant studies in October 2022. Studies showed that various pathways could be modeled, including the entire pathway from referral to end of treatment or the constituent phases such as pre-treatment, treatment, or other subcomponents. The data required to generate models varied from study to study, but at least 3 months of data were needed. This review demonstrates that modeling and simulation of radiotherapy pathways are feasible and that model output matches real-world systems. Validated models give researchers confidence to modify models with potential workflow enhancements to assess their potential effect on real-world systems. It is recommended that researchers follow best practice guidelines when building models to ensure that they are fit for purpose and to enable decision makers to have confidence in their results.

Citation

Robinson, A., Asaduzzaman, M., Jena, R., & Naemi, R. (2023). Simulation as a tool to model potential workflow enhancements in radiotherapy treatment pathways – A systematic review. Journal of Applied Clinical Medical Physics, 24(10), https://doi.org/10.1002/acm2.14132

• Journal Article Type: Article
• Acceptance Date: Aug 7, 2023
• Publication Date: 2023-10
• Deposit Date: Apr 9, 2024
• Publicly Available Date: Apr 10, 2024
• Journal: Journal of Applied Clinical Medical Physics
• Print ISSN: 1526-9914
• Publisher: American Association of Physicists in Medicine
• Peer Reviewed: Peer Reviewed
• Volume: 24
• Issue: 10
• DOI: https://doi.org/10.1002/acm2.14132