Active and interactive analysis of prescription data for harm minimisation (2016–2020)

This project aims to provide an innovative solution to assist Queensland Health provide a valued public healthcare system, by enhancing prescription monitoring to reduce and prevent the harms to the public from inappropriate drugs use. The project is significant in developing the first framework integrating active machine learning, interactive data mining, and data visualization into analysis of prescription data. The expected outcomes include new methods in online interactive analysis of large scale prescription data and a new system that can actively interact with health professionals to provide high quality real time prescription monitoring, thereby leading to improvements in patient outcomes and efficiency of the healthcare system.
Grant type:
ARC Linkage Projects
  • Associate Professor
    School of Electrical Engineering and Computer Science
    Faculty of Engineering, Architecture and Information Technology
  • Director, Centre For Youth Substanc
    School of Psychology
    Faculty of Health and Behavioural Sciences
    Princess Alexandra Hospital Southside Clinical Unit
    Faculty of Medicine
Funded by:
Australian Research Council