Associate Professor Anupama Ginige


Associate Professor in Health Informatics


Anupama has completed her undergraduate studies in Applied Mathematics and postgraduate studies in Information Technology. Before joining academia in 2003, Anupama worked in the software industry for over five years. She was awarded her PhD in 2008 for a project where she extended the use of Klnee Algebra with Tests for tracking the propagating impact of business process changes in fully and partially automated information systems. Since 2015, she has concentrated her efforts in Applied Computing in Health and Wellbeing.

Her current research projects include applying AI technologies in clinical classification & coding, eye tracking, "smart spaces" for remote patient monitoring, and health data management. In addition, she is also supervising students researching legislative frameworks associated with using mobile app solutions as digital therapeutic products.

Her predominant teaching activities are around healthcare data and clinical classification. In addition, she has been coordinating the successful computing capstone program engaging many industry partners and giving students industry-based experience during their studies.

With her experience in the software industry, Anupama is leading major software development tasks related to health in Australia. For example, the current IT system used to manage the Clinical Classification and Coding system in Australia was developed under her guidance through the ACCD (Australian Consortium for Classification Development) – a joint initiative between WSU and USyd. Also, she has supported many research teams in developing the digital tools needed in conducting their major clinical trials, such as the popular Maintain Your Brain and the upcoming C-STAM (Computerised- Sydney Test of Activities of Daily Living in Memory Disorders) study. In addition, Anupama has been instrumental in developing the online training package for ICD-11 (International Classification of Disease Version 11) for the World Health Organisation.

Anupama is the Associate Dean – Engagement in the School of Computer, Data and Mathematical Sciences. She has been serving the Research Advisory Committee for HIMAA – Health Information Management Association, Australia, since 2016. In addition, she is co-chairing the Information and Terminology Committee of the WHO-FIC (WHO – Family of Classification Development) Network.

To summarise her biography, Anupama's passion lies in utilising technology to advance the health & wellbeing of people worldwide.

Research Interests

  • Automated and/or voice-controlled Clinical Classification & Coding
  • AI technologies for clinical classification code-systems mapping
  • ‘Sensor Enabled Smart Spaces’ for remote patient monitoring with AI technologies
  • AI technologies & edge computing for tracking eye movements using mobile cameras
  • Healthcare data management and visualisation for precision medicine and decision making
  • Improving digital literacy of healthcare workforce
  • Legislative frameworks & mHealth as digital therapeutic products

Qualifications and Recognition

  • B. Applied Mathematics (1998) – University of Peradeniya, Sri Lanka
  • M. ICT (2001) – University of Western Sydney, Australia
  • PhD (2008) - University of Western Sydney, Australia
  • M. Health Science (continuing) – Western Sydney University

Research and Publications

Contact Details