Projects 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 2024 → 1 Jul 2026
Advisor, Australian Digital Health Agency
2023 → 2025
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)
2013 → 31 Dec 2022
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Collaborations and top research areas from the last five years
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MRFF2024: A novel AI-augmented digital system for medication deprescribing in residential aged care: the AiCT-Med national cluster randomised controlled trial
Wabe, N. (Primary Chief Investigator), Raban, M. (Chief Investigator), Page, A. T. (Chief Investigator), Yu, S. (Chief Investigator), Saunders, R. (Chief Investigator), Ailabouni, N. (Chief Investigator), Liao, Z. (Chief Investigator), O’Donnell, L. K. (Chief Investigator), Nguyen, A. (Chief Investigator), Churruca, K. (Chief Investigator), Mumford, V. (Chief Investigator), Ahumada-Canale, A. (Chief Investigator), Westbrook, J. (Associate Investigator), Magrabi, F. (Associate Investigator), Scott, I. (Associate Investigator), Braithwaite, J. (Associate Investigator), Gray, L. (Associate Investigator), Manius, E. (Associate Investigator), Pont, L. (Associate Investigator), Day, R. (Associate Investigator), Dunn, A. (Associate Investigator), Baysari, M. (Associate Investigator), Khalil, H. (Associate Investigator), Hoyle, D. (Associate Investigator), Huang, G. (Associate Investigator), Wright, R. (Associate Investigator) & Fagan, M. (Associate Investigator)
1/09/25 → 31/08/30
Project: Research
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DHCRC: Ensuring AI implementation in healthcare is safe and effective
Coiera, E. (Primary Chief Investigator), Magrabi, F. (Chief Investigator), Dorricott, P. (Project Co-ordinator), Chan, A. (Research Assistant) & Morgan, C. (Other)
1/07/25 → 31/12/26
Project: Research
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DP25: 'No' to Black Box: Towards Transparent and Safe AI in Healthcare
Matulionyte, R. (Primary Chief Investigator), Magrabi, F. (Chief Investigator), Beheshti, A. (Chief Investigator), Lee, J.-A. (Partner Investigator) & Kim, D. (Partner Investigator)
1/06/25 → 31/05/28
Project: Research
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Improving the governance of AI in Australian health services
Magrabi, F. (Primary Chief Investigator), Coiera, E. (Chief Investigator), Freeman, S. (Chief Investigator), Wang, A. (Research Assistant), Sharif, S. (Partner Investigator) & Mirapuri, A. (Partner Investigator)
1/05/25 → 30/11/26
Project: Research
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AI advisories for health professionals
Magrabi, F. (Primary Chief Investigator), Coiera, E. (Chief Investigator), Carter, S. (Chief Investigator), Blakely, B. (Chief Investigator), Aquino, Y. S. J. (Chief Investigator), Fraile Navarro, D. (Chief Investigator) & Liu, S. (Chief Investigator)
24/02/25 → …
Project: Consultancy
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Designing AI tools to advance health equity in resource-constrained low- and middle-income countries
Susanto, A. P., Lyell, D., Widyantoro, B., Berkovsky, S. & Magrabi, F., Feb 2026, In: Digital Health. 12, p. 1-9 9 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Downloads (Pure) -
Don't Walk. Run. AI in healthcare - The 3rd National Policy Roadmap
Coiera, E., Magrabi, F., Silvera-Tawil, D., Tyagi, S. & Chan, A., 22 Jul 2026, Macquarie University. 30 p.Research output: Book/Report › Commissioned report › peer-review
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Do patient safety incident investigations align with systems thinking? An analysis of contributing factors and recommendations
Bowditch, L., Molloy, C., King, B., Abedi, M., Jackson, S., Bierbaum, M., Yu, Y., Raggett, L., Salmon, P., Braithwaite, J., Westbrook, J. I., Clay-Williams, R., Lingam, R., Middleton, S., Magrabi, F., Mumford, V. & Hibbert, P., 18 Jun 2026, In: BMJ Quality and Safety. 35, 7, p. 443-455 13 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile12 Link opens in a new tab Citations (Scopus) -
Feasibility of Using LLMs to Automate Analysis of AI/ML Medical Device Approvals
Wang, Y., Monteiro do Amaral, D. & Magrabi, F., 23 Feb 2026, Proceedings of 2025 18th Conference on Health Informatics Knowledge Management (HIKM 2025). New York: Association for Computing Machinery, Inc, p. 1-4 4 p. 13Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile -
Fine-tuning and evaluating large language models for patient safety tasks: classification of incident reports by type
Wang, Y., Bowditch, L., Molloy, C., Yu, Y., Hibbert, P. & Magrabi, F., 8 May 2026, (Accepted/In press) In: Machine Learning: Health.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Downloads (Pure)
Prizes
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Fellow of the Assuring Autonomy International Programme, University of York, United Kingdom
Magrabi, F. (Recipient), 2019
Prize: Honorary award
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International Medical Informatics Association “IMIA Working Group of the Year Award 2014”
Georgiou, A. (Recipient) & Magrabi, F. (Recipient), Sept 2015
Prize
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International Medical Informatics Association “IMIA Working Group of the Year Award 2015”
Georgiou, A. (Recipient) & Magrabi, F. (Recipient), 28 Aug 2016
Prize
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Collaborating with AI safely and responsibly in health care
Magrabi, F. (Speaker)
12 Feb 2026Activity: Talk or presentation › Invited talk
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Design Considerations for AI/ML in Medical Devices
Magrabi, F. (Speaker)
6 May 2025 → 8 May 2025Activity: Talk or presentation › Presentation
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AI Technologies in Health Care
Magrabi, F. (Speaker)
24 Apr 2025Activity: Talk or presentation › Presentation
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Lessons from improving the governance of AI in Australian healthcare organisations
Magrabi, F. (Speaker)
9 Jul 2025Activity: Talk or presentation › Presentation
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Leveraging AI safely and effectively at the health service level
Magrabi, F. (Speaker)
7 Mar 2025Activity: Talk or presentation › Presentation
Press/Media
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Second opinion: Doctors split over letting AI diagnose patients
Lyell, D. & Magrabi, F.
4/06/23
1 item of Media coverage
Press/Media: Research
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A new breed of AI is changing healthcare. But it comes with a warning.
Lyell, D. & Magrabi, F.
29/04/23
1 item of Media coverage
Press/Media: Research