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1969. An Integrative Approach to Scheduling the Pre-Treatment and Treatment Radiotherapy
Invited abstract in session WB-10: Integrated planning in healthcare, stream OR in Health Services (ORAHS).
Wednesday, 10:30-12:00Room: 11 (building: 116)
Authors (first author is the speaker)
| 1. | Maxim Frankish
|
| Business Informatics and Operations Management, Ghent University | |
| 2. | Broos Maenhout
|
| Business Informatics and Operations Management, Ghent University |
Abstract
Scheduling patients for radiotherapy within the oncology department is vital for ensuring timely and effective treatment. The patient’s therapy consists of a sequence of pre-treatment consultations, i.e., preliminary investigations to define the required treatment, followed by the radiotherapy treatment sessions on linear accelerators. Timely scheduling of pre-treatment consultations is crucial to prevent unnecessary delays in radiotherapy treatment, thereby impacting patient health. Therefore, we suggest integrating both scheduling problems into one mathematical model formulation. We employ an online stochastic scheduling technique relying on simulation-based optimisation to solve the model. Additionally, we compare our proposed model with benchmark models utilizing a batch scheduling algorithm and ASAP heuristic. A comparison is made between our model and a sequential optimisation approach that subsequently solved the pre-treatment and treatment phase. We use information on the future arrivals of patients to provide a precise overview of anticipated patient flow. The input data was collected from a real-life case study. Our findings highlight the importance of integrating both phases in the scheduling process.
Keywords
- Scheduling
- Stochastic Optimization
- Health Care
Status: accepted
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