Decision Support Systems for Managing Chronic Disease Using Artificial Intelligence

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Development of clinical decision support systems using machine learning techniques for telehealth systems to better support patients with chronic diseases, and reduce the clinical care burden on the health system.

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Competitive advantage

  • Advanced knowledge of artificial intelligence and deep learning
  • Access to patient clinics and study groups
  • Engagement of clinicians and stakeholders to promote user-centricsystems design

Impact

  • Reduce hospital readmissions and patient mortality
  • Early identification of deteriorating patient which enables healthcare workers to assess disease severity from a remote command centre
  • Making possible to initiate early interventions that can change the clinical outcome in patients with chronic condition

Successful outcomes

  • Will be exploited in a clinical trial throughout NSW hospitals for reducing hospital readmissions in the case of cardiovascular disease

Capabilities and facilities

  • Working to integrate the artificial intelligence based predictive anlytics into a 'smart-home' designed for older Australians and Australians with Dementia
  • Collaborating with a network of dedicated software developers

Our partners

  • Neuroscience Research Australia (NeuRA)
  • Prince of Wales Hospital