Projects per year
BE (Hons 1), PhD, FAIDH, FACMI, FIAHSI
Farah Magrabi is a Professor of Biomedical and Health Informatics at the Australian Institute of Health Innovation, Macquarie University. She has a background in Electrical and Biomedical Engineering and is an expert in the design and evaluation of digital health and artificial Intelligence (AI) technologies for clinicians and consumers.
Farah’s research seeks to investigate the clinical safety and effectiveness of digital health and AI technologies. She is internationally recognised as a leader in this area, and has made major contributions to documenting the patient safety risks of digital health by examining safety events in Australia, the USA and England. Her work has shaped policy and practice including a new specification by ISO, the International Organization for Standardization (ISO/TS 20405) for the surveillance and analysis of safety events.
In 2015, she received the Sax Institute’s Research Action Award for the international impact of her research on policy and practice to improve digital health safety. She was twice identified as the national research leader in the field of Medical Informatics in 2018 and 2020 by the Australian; and is the third most highly rated Patient Safety expert in Australia across the years 2010-2021 according to expertscape. Farah was elected to Fellow of the American College of Medical Informatics in 2020; and to Fellow of the International Academy of Health Sciences Informatics in 2021 which is one of the highest international honours in the field of biomedical and health informatics. She is an inaugural recipient of Telstra Health’s Brilliant Women in Digital Health award (2021).
Farah leads the NHMRC Centre of Research Excellence in Digital Health's Safety research stream; is Co-chair of the Australian AI Alliance’s Working Group on safety, quality and ethics; Advisor to the Australian Digital Health Agency (2023-25); Co-chair of Medinfo, the 2023 World Congress for Medical Informatics; holds a Fellowship at the University of York with the Assuring Autonomy International Programme; is an Associate Editor of the Journal of the American Medical Informatics Association (2020-present); and is one of Australia's representatives on the OECD Global Partnership for AI (GPAI).
Safety and effectiveness of digital health and artificial Intelligence (AI) technologies for clinicians and consumers.
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)
Biomedical Engineering, PhD, The University of New South Wales
Electrical & Electronics Engineering, Bachelor, University of Auckland
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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Oldenburg, B., Maddison, R., Kostakos, V., Boyle, D., Borland, R., Lau, A., Furler, J., Scuffham, P. A., Abraham, C., Taylor, C., Moy, C., Magrabi, F., Wadley, G., Car, J., Yan, L., Varnfield, M., Brooks, P., Absetz, P., Scibilia, R. & Mohan, S.
1/11/19 → 31/10/24
Magrabi, F., Sittig, D. & Runciman, W.
1/01/17 → …
Lyell, D. & Magrabi, F., 2023, (E-pub ahead of print) In: Internal Medicine Journal. 7 p.
Research output: Contribution to journal › Article › peer-reviewOpen Access
Effects of machine learning-based clinical decision support systems on decision-making, care delivery, and patient outcomes: a scoping reviewSusanto, A. P., Lyell, D., Widyantoro, B., Berkovsky, S. & Magrabi, F., 30 Aug 2023, (E-pub ahead of print) In: Journal of the American Medical Informatics Association : JAMIA. 14 p.
Research output: Contribution to journal › Review article › peer-review
Evaluation of machine learning-based models for prediction of clinical deterioration: a systematic literature reviewJahandideh, S., Ozavci, G., Sahle, B. W., Kouzani, A. Z., Magrabi, F. & Bucknall, T., Jul 2023, In: International Journal of Medical Informatics. 175, p. 1-14 14 p., 105084.
Research output: Contribution to journal › Review article › peer-reviewOpen AccessFile
Magrabi, F., Cresswell, K. & Fraser, H. S. F., 10 Feb 2023, Clinical decision support and beyond: progress and opportunities in knowledge-enhanced health and healthcare. Greenes, R. A. & Del Fiol, G. (eds.). 3rd ed. London: Elsevier Academic Press, p. 145-188 44 p.
Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
More than algorithms: an analysis of safety events involving ML-enabled medical devices reported to the FDALyell, D., Wang, Y., Coiera, E. & Magrabi, F., 20 Jun 2023, In: Journal of the American Medical Informatics Association. 30, 7, p. 1227-1236 10 p.
Research output: Contribution to journal › Article › peer-review
Magrabi, Farah (Recipient), 2019
Prize: Honorary award
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1 item of Media coverage