Vision and mission

The Centre strives to translate all findings into improved outcomes for Epworth patients and provide support to Epworth clinicians; assisting in facilitating the consistent delivery of high value, efficient and effective care.

Research into digital health conducted by the Centre for Health Informatics aligns with Epworth’s research strategy, goals and priorities. The Centre also builds international and industry partnerships, with the goal of developing global and industry collaborations to assist in conducting leading edge research.

The capabilities of the Centre, led by Professor Nilmini Wickramasinghe, have been further strengthened by Epworth’s collaboration with Swinburne University of Technology, formalised in 2019.

Key activities

  • Assessment of the value of digital health solutions
  • Design, development and deployment of responsible digital health solutions to support patient care
  • Use of practice analytics to provide insights into key healthcare metrics
  • Use of predictive analytics to assess risk mitigation and minimisation

The Centre also hosts the Digital Health Futures Forum, sponsored by Notitia, to facilitate better understanding of the possibilities and potential of digital health solutions and how they can best support the delivery of superior care.

Key partnerships

The Centre collaborates with various industry partners and research groups including:

  • Case Western Reserve University, USA
  • Cleveland Clinic, USA
  • DB Results, Australia
  • Curve Tomorrow, Australia
  • Notitia, Australia
  • Freidrich Alexander University, Germany
  • DHBW, Germany
  • OneView Harbin Institute of Technology, China


  • Prof Nilmini Wickramasinghe
  • Dr John Zelcer
  • Dr Chinedu Ossai
  • Dr Nadeem Shuakat

Active projects

  • Analytics – identifying best analytics techniques to assess unplanned re-admissions
  • teleassessment – a mobile solution to facilitate self-management around rehab
  • Digital Twins – leveraging advances in AI and ML as well as knowledge discovery, to develop decision support systems that are tailored and still accurate to provide better patient care.
  • eRisk – identifying approaches and developing algorithms to support better risk management and mitigation
  • Evaluation of digital health solutions
  • Designing digital health solutions

Contact details

Professor Nilmini Wickramasinghe
Email: [email protected]