Using AI to improve care and health outcomes
Using AI 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.
This is an event exclusively for Monash Partners.
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.
Speakers
Dr Robab Abdolkhani
Lead; Data-driven Healthcare and Informatics Platform, Monash Partners Health Translation Network
Dr Abdolkhani’swork focuses on bridging academia and the healthcare and tech industries by advancing AI and digital health solutions, fostering innovation and translating research into healthcare practice and policy. As a health AI strategist, she is involved in large-scale collaborations, such as the Global Agency for Responsible AI in Health, Open Digital Health, the Australasian Institute of Digital Health, the Australian Digital Health Agency, and the Australian Health Research Alliance.
Associate Professor Lynden Roberts
Chief Medical Information Officer (CMIO), Monash Health
Associate Professor Roberts leads digital transformation having been a contributor to over 65 publications that delve into healthcare evaluation and health system innovation – with his most recent one focusing on the challenges of implementing generative AI into healthcare. In 2024, he also spent six months with the Australian Digital Health Research Centre (CSIRO) exploring the potential of the various forms of ‘AI’ and analytics to transform healthcare.
Professor Shonali Krishnaswamy
Director, Monash AI Institute ; Associate Dean Innovation, Faculty of IT - Monash University
Prof Shonali Krishnaswamy is the Director of the Monash AI Institute and the Associate Dean Innovation in the Faculty of Information Technology at Monash University. Prior to this Shonali, was the CTO and Co-Founder of AiDA Technologies (www.aidatech.io), a multi-award winning Machine Learning (ML) start-up from Singapore, delivering AI-based Claims Processing technologies for Health Insurers in Singapore and the ASEAN region. AiDA was acquired by AIA.
AiDA's marquee product SMART-CLAIMS is an AI-based solution for automating the processing of Health Insurance Claims and detecting/preventing Fraud, Waste, and Abuse. SMART-CLAIMS has been adopted by several major insurers in Singapore and increasingly in the ASEAN region.
Before starting her entrepreneurial journey, Shonali was Head of the Data Analytics Department at the Institute for Infocomm Research (I2R), which is part of the Singapore Government's national R&D arm, the Agency for Science, Technology and Research (A*STAR). As Head of Data Analytics at I2R, Shonali led a research team of 70 Data Science researchers and engineers and focused on R&D innovation labs and collaboration projects across multiple industry sectors including Financial Services, Telecommunications, Healthcare and Aerospace. She has also previously held academic/professorial appointments in Australia at Monash University and Swinburne University.
Shonali is the recipient of several national and international awards including an ARC Australian Postdoctoral Fellowship, Monash University Vice-Chancellor's Award for Excellence in Research by an Early Career Researcher, the Institute of Engineers Singapore Prestigious Engineering Award, the ASEAN Outstanding Engineering Award, and an IBM Innovation Award. In 2020, Shonali was recognised as one of Singapore's Inaugural 100 Women in Technology by the Infocomm Media Development Authority (IMDA) and the Singapore Computer Society (SCS). More recently, in March 2024, Shonali was recognised as one of Asia's Top 50 Women Technology Leaders.
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