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Using Large Language Models (LLMs) to understand medication shortage-related trends in social media

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.

By |2026-09-14T10:11:20+09:307 August 2025|Comments Off on Using Large Language Models (LLMs) to understand medication shortage-related trends in social media

Foundational data science for US Medicaid research

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.

By |2026-08-24T11:39:07+09:3010 March 2023|Comments Off on Foundational data science for US Medicaid research

Interpreting health information and low value care using data science techniques

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. 

By |2026-09-14T10:38:45+09:3010 March 2023|Comments Off on Interpreting health information and low value care using data science techniques

Phase 2 COVID-19: utilising near real-time electronic general practice data to establish effective care and best-practice policy

Opportunity: Bring together researchers, PHNs and a digital health technology partner to harness near real-time clinical data to help better understand the impact of long COVID on patients and the primary care system.

By |2026-08-24T12:12:00+09:308 March 2023|Comments Off on Phase 2 COVID-19: utilising near real-time electronic general practice data to establish effective care and best-practice policy

A local navigation tool for mental health care (MChart)

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. 

By |2026-09-15T10:04:51+09:308 March 2023|Comments Off on A local navigation tool for mental health care (MChart)

Spatial management of health risk: Applying geospatial technology for risk visualisation, hotspot identification, and analysis of geographic variation

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. 

By |2026-08-24T11:21:01+09:302 October 2022|Comments Off on Spatial management of health risk: Applying geospatial technology for risk visualisation, hotspot identification, and analysis of geographic variation

Predictive modelling of health trajectories

Opportunity: Use Health Management System’s (HMS) extensive data collections to create algorithms that can predict an individual’s risk of chronic disease

By |2026-08-21T15:26:43+09:3018 September 2022|Comments Off on Predictive modelling of health trajectories

COVID-19 – utilising near real-time electronic general practice data to establish effective care and best-practice policy

Opportunity: This project sought to harness near real-time electronic general practice (GP) data to provide actionable insights for policy and healthcare decision-making.

By |2026-08-26T17:23:18+09:3010 September 2022|Comments Off on COVID-19 – utilising near real-time electronic general practice data to establish effective care and best-practice policy
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