Opportunity: Implementation of Artificial Intelligence (AI) technologies in health care services is challenging with an absence of best-practice guidance, presenting an urgent need to bring together stakeholders who have a vested interest in the opportunities to establish a coherent, collaborative, and sustainable national approach supporting the implementation of AI in the Australian health system.
Opportunity: Australia’s national interoperability initiative, including the Australian Core Data for Interoperability (AUCDI) and the Sparked‑AU Program depend on a capable workforce with clinical information modelling (CIM) skills—a specialised discipline that transforms clinical knowledge into structured, consensus-driven data models.
Opportunity: This was a feasibility project that explored leveraging large language models (LLMs) to create a dashboard prototype for identifying and analysing emerging medication shortage-related trends in social media.
Opportunity: Learning from the PreHaRM experience, identifying points of convergence and disconnect, between policy and practice is critical for reducing implementation delays, and ensuring that AI technologies are introduced in ways that genuinely support clinical staff and improve patient outcomes.
Opportunity: This project will develop an online tool to help classify different types of Artificial Intelligence (AI) solutions used in Australian healthcare. The online tool will adapt the Organisation for Economic Cooperation and Development (OECD) AI Classification Framework to the Australian context, reflecting recent government policies, including proposed mandatory guardrails for AI across the Australian economy.
Opportunity: Existing AI ethics frameworks have been largely theoretical and difficult to operationalise within complex healthcare environments. This project addressed this by developing and testing a practical governance framework and AI maturity model within a leading Australian health service.
Opportunity: analyse linked data for evidence to improve service planning and policy development towards better outcomes for those diagnosed with mental health conditions in WA.
Opportunity: Identify robust statistical and data science methods for addressing challenges of comparing clinicians and interpreting healthcare information with respect of quality, cost and outcomes, while also identifying opportunities to reduce low-value care.
Opportunity: co-designing and creating a comprehensive digital mental health service platform (MChart) to facilitate local navigation of mental health care for health professionals and decision makers.
Opportunity: Health systems collect vast amounts of information about healthcare use, yet often lack visibility of the geographic and environmental factors that influence health outcomes. This project explored how geospatial technologies can enrich health data to better support health planning and risk management.
Opportunity: Utilise linked data to investigate the clinical trajectory and early onset of chronic kidney disease (CKD).
Opportunity: evaluate the implementation of intelligent decision support solutions within a digital hospital system.
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