Using AI to improve care and health outcomes

Masterclass on translating AI into healthcare practice and policy to improve care and health outcomes

This masterclass is designed to help connect healthcare professionals, researchers and AI experts to collaborate and move health AI from promising ideas into everyday practice.

Participants will learn how to identify where AI is not yet being used effectively in care, and how to close these gaps using learning health system approaches. The session will also explore key challenges to implementation—including ethics, data governance, and workforce readiness—and provide practical strategies to address them. By the end, participants will be equipped with a clear, step-by-step framework to guide AI projects from early concept through to safe, effective integration into clinical care.

Participants will gain the expertise to:

  • identify and interrogate research translation gaps in health AI
  • leverage the principles of learning health systems to build the foundation for health AI translation
  • identify key challenges and strategies for the use of AI, including ethical, data governance, and workforce barriers to AI implementation
  • apply a structured framework to guide the translation of AI projects from conception to clinical integration.

Location: Monash University Public Health and Preventive Medicine, Ground Floor, 553 St Kilda Rd, Melbourne VIC 

Event date
25 June 2026
Time
12:00 pm - 05:00 pm AEST
Cost
$0.00
Location
VIC
Event Type
In-person
Host
Monash University
Register to attend event
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