Research Article
Support-Based Distributed Optimisation: An Approach to Radiotherapy Scheduling
@INPROCEEDINGS{10.1007/978-3-642-23635-8_41, author={Graham Billiau and Chee Chang and Aditya Ghose and Andrew Miller}, title={Support-Based Distributed Optimisation: An Approach to Radiotherapy Scheduling}, proceedings={5th International Workshop on Agents Applied in Health Care}, proceedings_a={A2HC}, year={2012}, month={10}, keywords={}, doi={10.1007/978-3-642-23635-8_41} }- Graham Billiau
Chee Chang
Aditya Ghose
Andrew Miller
Year: 2012
Support-Based Distributed Optimisation: An Approach to Radiotherapy Scheduling
A2HC
Springer
DOI: 10.1007/978-3-642-23635-8_41
Abstract
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.
