208. Redistributing Oncology treatments to Regional Outpatient Clinics within Isala Clinics
Contributed abstract in session FB-5: (Multi)Appointment /2, stream Regular talks.
Friday, 11:00-12:30Room: Room S6
Authors (first author is the speaker)
| 1. | Andre Poncelet
|
| Research and Teaching Area Combinatorial Optimization, RWTH Aachen University | |
| 2. | Jedidja Lok - Visser
|
| CHOIR, University of Twente | |
| 3. | Christina Büsing
|
| Lehr- und Forschungsgebiet Kombinatorische Optimierung, RWTH Aachen University | |
| 4. | Gréanne Leeftink
|
| CHOIR, University of Twente |
Abstract
The scheduling of chemotherapy treatments and the corresponding allocation of staff and resources have been extensively explored in the operations research literature. Generally, this is based on a central treatment facility. However, this is not always necessary: Although some chemotherapy treatments must be administered in a clinic and with an oncologist and complex support systems nearby, many treatments only require limited equipment, personnel and additional safety regulations and can therefore be administered in locations such as doctor's offices and community centers with comparatively little additional cost. This may eliminate long travel times for patients, increasing patient satisfaction.
In this talk, we explore two research problems: Frist, how oncology treatments can be scheduled to maximize patient satisfaction (while considering cost and resource capacity) when there are multiple locations available. And second, if necessary, how to select additional locations that enable efficient treatment scheduling and minimize travel times.
We present multiple algorithms based on local search and greedy metaheuristics. The algorithms are then evaluated in a computational study using real-world data from the oncology department of a large, Dutch hospital, Isala Clinics.
Keywords
- (Multi) appointment scheduling
- Patient scheduling
- Workforce planning and scheduling
Status: accepted
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