Opportunity: address challenges in recognising and managing deterioration in a timely manner in residential aged care facilities through digital innovation and evidence-based care coordination.
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: 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 explored how health consumers (e.g., patients, carers, public) perceive the use of Artificial Intelligence (AI) in digital health, with a focus on AI-generated summarisation of health information. As AI tools become increasingly integrated into healthcare systems, understanding how they are received by patients, carers, and the public is critical to ensure safe, ethical, and effective adoption in Australia.
Opportunity: translate vascular research, using retinal images and videos as a window into pressure-related physiological changes, into a practical platform that could assist clinicians with earlier and less invasive screening and triage for patients who may require further investigation for elevated intracranial pressure (ICP).
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: address barriers to optimal care for individuals living with genetic disorders through the development and integration of a scalable digital solution enabling clinical genetics services (CGS).
Opportunity: Establish and deploy an integrated, interoperable and secure scalable platform which could harmonise multimodal healthcare data for data-driven research and development. The project also looked to create a use case to validate platform efficacy.
Opportunity: Determine if AI-assisted detection of pathological findings can improve care delivery and patient outcomes.
Opportunity: explore the opportunity to use routinely collected structured information and free-text clinical records to equip aged care providers to identify deteriorating residents living in their care, so that appropriate care and resources can be provisioned.
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