We're developing a range of digital health innovations in collaboration with health industry and government partners.
We're developing online and mobile health technologies to improve access to services and health outcomes.
We’ve developed a unique smartphone chatbot app that uses artificial intelligence to provide at-home social and communication therapy.
We're investigating the use of a mobile health platform to support Indigenous health.
We've developed an app to help clinicians communicate with patients from Culturally and Linguistically Diverse (CALD) backgrounds.
We’ve teamed up with Metro North Hospital and Health Service and the University of Queensland to develop a mobile platform for pain intervention.
Our video streaming app is helping parents stay connected with their premature babies during extended hospital stays.
We've developed and trialled a mobile health platform to help patients and clinicians better track and monitor gestational diabetes.
We’ve developed and trialled a mobile health platform to support patients on peritoneal dialysis and their care team.
We’ve developed an online cardiac rehabilitation platform to support cardiac patients in recovery and reduce hospital re-admissions, now known as Cardihab™.
Our technology is helping to provide quality, out-of-hospital care to the elderly, people living in rural and remote communities, and patients managing chronic diseases.
We're developing a low-cost, non-invasive sensor, monitoring and support system to enable older people to live in their own homes for longer.
Helping to save the eyesight of people with diabetes, we've developed new AI technology to enable GPs to screen for diabetic retinopathy.
We’ve developed new technology to deliver specialist eye care to Indigenous and older Australians living in rural and remote areas.
We're supporting our hospital and health systems with technology to help improve the quality, delivery and management of patient care.
Our researchers have developed Ontoserver, a smart terminology server that helps health management systems 'talk' to each other for improved patient care.
Our predictive risk model is helping identify patients at risk of hospitalisation in the next 12 months.
Using software developed by our scientists, hospitals can predict how many patients will arrive in emergency and how many will be admitted or discharged.
We're trialling social robots as tools to support education and therapy for children on the autism spectrum.