Support-based distributed optimisation: An approach to radiotherapy scheduling

Citation data:

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, ISSN: 1867-8211, Vol: 69 LNICST, Page: 327-334

Publication Year:
2011
Usage 10
Abstract Views 10
Captures 3
Readers 3
Citations 1
Citation Indexes 1
Repository URL:
http://ro.uow.edu.au/eispapers/1659
DOI:
10.1007/978-3-642-23635-8_41
Author(s):
Billiau, Graham; Chang, Chee Fon; Ghose, Aditya; Miller, Andrew Alexis
Publisher(s):
Springer Nature
Tags:
Computer Science; radiotherapy; scheduling; approach; support; optimisation; distributed; Engineering; Science and Technology Studies
conference paper description
The public health system is plagued by inefficient use of resources. Frequently, the results are lengthy patient treatment waiting times. While many solutions for patient scheduling in health systems exist, few address the problem of coordination between independent autonomous departments. In this study, we describe the use of a distributed dynamic constraint optimisation algorithm (Support Based Distributed Optimisation) for the generation and optimisation of schedules across autonomous units. We model the problem of scheduling radiotherapy patients across several independent oncology units as a dynamic distributed constraint optimisation problem. Such an approach minimises the sharing of private information such as department operation details as well as patient privacy information while taking into consideration patient preferences as well as resource utilisation to find a pareto-optimal solution. © 2011 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering.