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Support-based distributed optimisation: An approach to radiotherapy scheduling

Conference Paper


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.

Publication Date


  • 2011

Citation


  • Billiau, G., Chang, C., Ghose, A. & Miller, A. Alexis. (2011). Support-based distributed optimisation: An approach to radiotherapy scheduling. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (pp. 327-334). Heidelberg, Germany: Springer.

Scopus Eid


  • 2-s2.0-84885884536

Start Page


  • 327

End Page


  • 334

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.

Publication Date


  • 2011

Citation


  • Billiau, G., Chang, C., Ghose, A. & Miller, A. Alexis. (2011). Support-based distributed optimisation: An approach to radiotherapy scheduling. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering (pp. 327-334). Heidelberg, Germany: Springer.

Scopus Eid


  • 2-s2.0-84885884536

Start Page


  • 327

End Page


  • 334