MM2026

Limitless

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S6

Back to the future: Using real-world data to predict therapy response to prevent diabetes complications 

Date & Time: Friday 23 October · 1215-1245

This research seeks to ensure that transparent economic models are available to policy makers to understand the potential impacts of new interventions (whether clinician based, technology based, or medication based) on the incidence of diabetes and prevention of complications of diabetes. 

After this session, participants will be able to:  

  • Gain an appreciation of data linkage, and how historical data can be used to build models to predict future events.
  • Gain an appreciation of the steps involved in building a economic models that are used for deciding whether therapies are adopted by the PBS.
  • See an application of combining epidemiology of big data with economics to create an open source tool for assessing the relative benefits of different interventions in preventing diabetes complications.

Speakers

Dr
Adam
Livori
FANZCAP (Cardiol., Research)
Senior Pharmacist - Advanced Practice and Innovation, Grampians Health, Ballarat, Vic; Research Fellow, Baker Heart and Diabetes Institute, Melbourne, Vic

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