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: Led by La Trobe University with support from the DHCRC Synthetic Data (SynD) Community of Practice and international experts from Swansea University and the Secure Anonymised Information Linkage (SAIL) Databank, this series addresses critical barriers in health data access, privacy, and interoperability.
Opportunity: independently evaluate whether integrated digital workflow tools such as Alcidion’s Miya Precision platform could improve patient care coordination and hospital performance.
Opportunity: create a foundation that would support the generation of stronger evidence of the impact of menopause on economic outcomes that may help policymakers and employers to support women effectively through this life transition.
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: to better understand the capabilities that are needed to lead and govern digital health transformations effectively, particularly within complex healthcare environments.
Opportunity: explore whether high-quality synthetic health data could bridge a gap in access to realistic health data for training and innovation while maintaining appropriate privacy and confidentiality controls.
Opportunity: to lay the foundations for a nationally recognised Clinical Informatics Fellowship, a pathway through which clinicians can build, demonstrate and receive professional recognition to become an accredited expert in digital health.
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