The Development of Automated Advanced Data Analysis Techniques for the Detection of Aberrant Patterns of Prescribing Controlled Drugs (2013–2016)

Abstract:
Effective use of the massive amounts of data collected by healthcare systems requires problem specific analysis techniques, but little has been done in the Australian context to apply advanced data analysis to harm minimisation. Our aim is to develop techniques for monitoring prescribing patterns of medications that are essential in pain management but have a high addiction potential. The project is significant in developing the first system using advanced data analysis techniques to detect and predict aberrant behaviours related to harm reduction. Outcomes will include new methods for automated detection of aberrant prescribing in an interactive dashboard, leading to improvements in patient outcomes and efficiency of the healthcare system.
Grant type:
ARC Linkage Projects
Researchers:
  • Associate Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
  • Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
  • Director
    Centre for Youth Substance Abuse
    Faculty of Health and Behavioural Sciences
    Professor
    Princess Alexandra Hospital Southside Clinical Unit
    Faculty of Medicine
    Affiliate Professor
    School of Psychology
    Faculty of Health and Behavioural Sciences
Funded by:
Australian Research Council