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: explore whether synthetic data could provide a safer testing resource for Primary Sense while applying and testing the Synthetic Health Data Governance Framework in a real Australian primary-care setting.
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: AI-driven clinical decision support tools like the Ainsoff Deterioration Index (ADI) have the potential to improve patient outcomes, but robust evaluation frameworks are lacking. This project aimed to evaluate the ADI’s performance and clinical impact, supporting evidence-based AI across Australian healthcare.
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: modernise and further develop an existing online platform tailored for health workers for diabetes education as a fit-for-purpose solution for workforce eLearning in clinical 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: quantify and qualify the specialist digital health workforce in Australia through a third national census.
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: This project looked to address foundational questions regarding governance, hosting, auditing, data exploration, data cleaning, and modelling to unlock the research potential of large administrative health datasets.
Opportunity: Enable a personalised digital community health care model that guides case managers to better manage caseloads, prioritise patients for discharge and incorporate additional insights on patients’ health and behaviours outside the clinic.
Copyright © 2026 Digital Health CRC | Privacy Policy
