ozCAT
The Australian Computer Aided Theragnostics network
Many patients do not meet randomised clinical trial criteria on which radiotherapy treatment guidelines are based. An Australian distributed radiotherapy data network has been established including international partners. The aim of this data-network is to enable the generation of additional clinical evidence to support treatment decisions for patients by machine learning of prediction models. Next to this, it aims to yield more effective clinical trials, detecting cancer practice variations. Furthermore, the data-network drives improvement of data collection and accuracy in Australia to improve outcome prediction models.
Funded by Australia's NSW Health, ozCAT started in 2013 and is one of the first projects developing distributed learning concept which led to the Personal Health Train (PHT). It has established a distributed learning network in New South Wales and is extending to other states and territories. The ozCAT consortium will join the Personal Health Train community to make sure the ozCAT and PHT solutions for distributed learning are interoperable. The ozCAT PHT implementation has been applied in lung cancer and head-and-neck cancer and is deployed in more than 4 hospitals.
The Project Lead
The Team
Partners
- Liverpool and Macarthur Cancer Therapy Centres and Ingham Institute, Australia
- University of Wollongong, Australia
- Cancer Therapy Centre Liverpool Hospital, Australia
- Illawarra Health and Medical Research Institute, Wollongong, Australia
- Sydney West Radiation Oncology Network, Australia
- Calvary Mater Hospital Newcastle, Australia
- MAASTRO Clinic, Maastricht, The Netherlands
- University of Sydney, Australia