A data-driven approach to solve the RT scheduling problem
The algorithm's ability to produce quick results may save significant time that the scheduling staff otherwise need to assess individual patient profiles. RT departments can incorporate such algorithms to accelerate their scheduling decisions and enhance their overall scheduling performance before going through major organizational changes.
Authors
- Caroline Olsson (ORCID: https://orcid.org/0000-0003-3254-8903)
- Jesper Lindberg (ORCID: https://orcid.org/0000-0002-9993-8642)
- Thomas Björk‐Eriksson (ORCID: https://orcid.org/0000-0003-3680-5196)
- Mruga Gurjar
Institutions
- Sahlgrenska University Hospital (SE)
- Region Västra Götaland (SE)
- University of Gothenburg (SE)
Publication Details
- Journal
- Technical Innovations & Patient Support in Radiation Oncology
- Published
- 2024-10-16
- DOI
- https://doi.org/10.1016/j.tipsro.2024.100282
- Primary Topic
- Distributed and Parallel Computing Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Vetenskapsrådet
- Familjen Kamprads Stiftelse
- Stiftelsen Jubileumsklinikens Forskningsfond mot Cancer