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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.

Experts

Associate Professor Marcus Gallagher

Associate Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Marcus Gallagher
Marcus Gallagher

Professor Janet Wiles

Professor
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Janet Wiles
Janet Wiles

Professor Jason Connor

Centre Director of National Centre
National Centre for Youth Substance Use Research
Faculty of Health and Behavioural Sciences
Affiliate of National Centre for Yo
National Centre for Youth Substance Use Research
Faculty of Health and Behavioural Sciences
Affiliate of Parenting and Family S
Parenting and Family Support Centre
Faculty of Health and Behavioural Sciences
Affiliate Professor of School of Ps
School of Psychology
Faculty of Health and Behavioural Sciences
Director, NCYSUR
School of Psychology
Faculty of Health and Behavioural Sciences
Professor
PA Southside Clinical Unit
Faculty of Medicine
Jason Connor
Jason Connor