Digital health systems for improved healthcare

A digital health program to support e-Health, psycho-oncology, care interventions and health communications.

This digital health program draws upon citizen-centred health initiatives and partnerships with government and industry to provide insight into current management techniques for health data.

The digital health program will investigate ways of supporting and promoting citizen-centred health initiatives, including:

  • e-Health
  • Psycho-oncology
  • supportive care interventions
  • other aspects of health communication and promotion, including the data management of individual health care records.

Partnerships with the following government and industry bodies will provide insights into current management techniques and the existing gaps in health data management:

  • federal, state and local government
  • large corporates
  • international development agencies
  • governments in target partner countries
  • health insurers.


Current projects

AstroMedical Innovation: An astronomy-inspired, data-driven approach to the early detection of heart disease

Early identification or prediction of the likely onset of cardiovascular disease, diabetes and obesity are crucial to improving public health.

AstroMedical Innovation is the translation of data-driven processes and techniques from astronomy and astrophysics into the domain of medical imaging and diagnosis, with the aim of developing faster, more robust, and more powerful diagnostic tools.

Collaborating with the Baker Heart and Diabetes Institute, we will apply established and well-tested methods from astrophysics to the early detection of heart disease, through two initial projects:

  1. detection of early aortic valve disease; and
  2. quantification of cardiac calcification.

In both cases, discovery and diagnosis requires new visualisation and analysis methods within a data-intensive context.

This project is led by: A/Prof Christopher Fluke and Dr Ned Taylor

DiaMonD: diabetes motoring device

This longitudinal study is focused on assessing the benefits of a bespoke mobile health solution on: 

  1. improving self-empowerment of various populations with diabetes to enable better management of this chronic condition
  2. enabling a high quality of life; and
  3. gaining higher clinician and patient satisfaction.

Pilot studies to date have been run in Canada, China, Germany, Australia and US.

Funding for various aspects of this project has been received from ATN-DAAD, DAAD-UA, Epworth Medical Foundation, Harbin Institute of Technology, a Schoeller Senior Research Fellowship. It is led by Prof Nilmini Wickramasinghe and Mr Steve Goldberg.


Evaluating Hospital Information Systems

Currently, a plethora of health information systems such as electronic medical record systems and point of care solutions are being implemented into healthcare organisations. However, it is unclear:

  1. what their return on investment is
  2. how to ensure that the expected benefits are realised; or
  3. how to ensure high patient and clinical satisfaction as well as good technical and clinical outcomes.

This research, based at Epworth HealthCare, is developing a rubric around best practices for the design, development and deployment of digital health solutions in healthcare contexts. This is designed to ensure such solutions enable high value, high quality patient-centred care to ensue.

This project is currently being funded by an Epworth Research Institute seed grant and is led by Prof Nilmini Wickramasinghe and Ms Lou O'Connor. 


Loneliness research

A project led by Dr Michelle Lim with partner, Relationships Australia Victoria, has been awarded funding to analyse ‘A digital prototype addressing loneliness in older adults.’


Minimising medication errors

This project will develop an Internet of Things (IoT) device linked to patient electronic medical records to ensure the correct medication at the correct dose is delivered to the correct patient at the correct time.


Towards diagnostic improvements in female sexual and reproductive health: mitigating risks and reducing unplanned readmission.

Reducing unplanned readmissions and mitigating risks in acute care contexts is important for providing high quality care and a superior patient experience. It is also having far reaching consequences on the ability of healthcare organisations to provide high value care.

Together with individuals at Epworth HealthCare, an Australian health data model is being developed so that it will be possible to accurately predict patients with a high likelihood for readmission at the time of initial admission, as well as mitigate likely risks during their patient journey.

This project is currently being funded by an Epworth Research Institute seed grant and is led by Prof Nilmini Wickramasinghe, Ms Lou O'Connor, Ms Day Delgado and Mr Steve McConchie.


Contact the Iverson Health Innovation Research Institute

There are many ways to engage with us. If your organisation is dealing with a complex problem, then get in touch to discuss how we can work together to provide solutions.

Call +61 3 9214 8180