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1998 …2026

Research activity per year

Personal profile

Biography

BE (Hons 1), PhD, FAIDH, FACMI, FIAHSI

Farah Magrabi is a Professor of AI and Patient Safety at the Australian Institute of Health Innovation, Macquarie University. With a background in Electrical and Biomedical engineering, she is an internationally recognised leader in the design, safety, and evaluation of digital health and AI technologies for clinicians and consumers.

Her research focuses on advancing methods to evaluate the safety, effectiveness, and real-world performance of digital health and AI-enabled systems. She has made seminal contributions to identifying and characterising patient safety risks associated with digital health and AI, drawing on large-scale analyses of safety events across Australia, the United States, and United Kingdom. This work has directly informed policy and international standards, including the development of International Organization for Standardization specification ISO/TS 20405 for the surveillance and analysis of digital health safety events. 

Professor Magrabi’s contributions have been recognised through multiple national and international honours. She received the Sax Institute’s Research Action Award for impact on policy and practice, and has been identified as Australia’s leading researcher in medical informatics. She is a Fellow of the Australian Institute of Digital Health, Fellow of the American College of Medical Informatics and the International Academy of Health Sciences Informatics—among the highest honours in the field—and an inaugural recipient of the Telstra Health Brilliant Women in Digital Health Award.

She leads the AI Systems Safety research stream and plays a key role in national and international AI governance. She is Co-Chair of the safety, quality and ethics working group for the Australian Alliance for AI in Healthcare and serves on the AI Technical Reference Group for the Therapeutic Goods Administration. She is also an Associate Editor of the Journal of the American Medical Informatics Association and represents Australia in the OECD Global Partnership on AI.

 

Research interests

Farah Magrabi’s research focuses on the safety, effectiveness, and real-world evaluation of digital health and AI systems. Her work develops and applies rigorous methods to detect, analyse, and mitigate patient safety risks arising from AI-enabled technologies, including post-deployment monitoring, audit of clinical decision-making, and evaluation of impacts on care quality and outcomes. She has a particular interest in next-generation evaluation frameworks for generative AI, combining experimental, observational, and data-driven approaches to support safe, scalable, and evidence-based implementation in health systems.

Research engagement

NHMRC Centre for Research Excellence in Digital Health

NHMRC Centre for Research Excellence in Digital Technology to Transform Chronic Disease Outcomes

Australian Institute of Digital Health (AIDH)

American Medical Informatics Association (AMIA)

International Medical Informatics Association (IMIA)

Education/Academic qualification

Biomedical Engineering, PhD, The University of New South Wales

Electrical & Electronics Engineering, Bachelor, University of Auckland

External positions

Enabled Care Expert Advisory Group, Australian Digital Health Agency

2026 → …

AI Program Advisory Group, Australian Commission on Safety and Quality in Health Care

2025 → …

Expert Advisory Group Diversity in Health and Medical Sciences Decadal Plan, Australian Academy of Health and Medical Sciences

Sept 2024 → …

Member, Technical Reference Group for SaMD and AI, Therapeutic Goods Administration

30 Jun 20241 Jul 2026

Advisor, Australian Digital Health Agency

20232025

Associate Editor, Journal of the American Medical Informatics Association

2020 → …

Member, ITU/WHO Focus Group on Artificial Intelligence for Health (FG-AI4H)

2020 → …

Co-chair, Working Group on Safety, Quality and Ethics, Australian Alliance for Artificial Intelligence in Healthcare (AAAiH)

2019 → …

Co-chair, Working Group on Technology Assessment and Quality Development, International Medical Informatics Association (IMIA)

201331 Dec 2022

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