Projects per year
Personal profile
Research interests
Ying has comprehensive research experience in machine learning and data mining, and now she focuses on the understanding and modelling of hospital data (clinical incident reports and EMR data), especially automatic classification and analysis of clinical incidents and IT safety problems involved in healthcare service. Her research also involves measuring the effects of computer downtime on hospital processes.
Education/Academic qualification
Computer Science, PhD, Human activity recognition and analysis
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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2022 Partnership Projects PRC1: Improving the health system’s response when patients are harmed: a mixed-methods study
Hibbert, P. (Primary Chief Investigator), Braithwaite, J. (Chief Investigator), Westbrook, J. (Chief Investigator), Magrabi, F. (Chief Investigator), Mumford, V. (Chief Investigator), Clay-Williams, R. (Chief Investigator), Lingam, R. (Chief Investigator), Salmon, P. (Chief Investigator), Middleton, S. (Chief Investigator), Roberts, C. M. (Chief Investigator), Arnolda, G. (Associate Investigator), Arya, D. (Partner Investigator), Bradd, P. (Partner Investigator), Sketcher, K. (Partner Investigator) & Wang, Y. (Associate Investigator)
1/04/23 → 31/03/28
Project: Research
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Applying LLMs for Analysis of AI/ML Medical Device Approvals and Safety Events
Wang, Y. (Primary Chief Investigator), Magrabi, F. (Chief Investigator), Lyell, D. (Chief Investigator) & Wang, A. (Research Assistant)
1/01/23 → 31/12/26
Project: Research
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Oracle for Research Fellows
Magrabi, F. (Primary Chief Investigator), Wang, Y. (Chief Investigator), Lyell, D. (Chief Investigator) & Coiera, E. (Chief Investigator)
1/06/23 → 31/05/24
Project: Research
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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) -
Fine-tuning and evaluating large language models for patient safety tasks: classification of contributing factors in incident reports
Wang, Y., Bowditch, L., Molloy, C., Yu, Y., Hibbert, P. & Magrabi, F., 20 May 2026, (E-pub ahead of print) In: Journal of the American Medical Informatics Association : JAMIA. 11 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Applying large language models to AI safety: identifying and monitoring patient safety events associated with AI-enabled medical devices
Wang, Y., Magrabi, F. & Tsiros, D. (Contributor), 29 Sept 2025, In: Digital Health Week. 4, 1, 1 p.Research output: Contribution to journal › Meeting abstract › peer-review
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Applying LLMs for analysis of AI/ML medical device approvals
do Amaral, D. M., Wang, Y. & Magrabi, F., 7 Aug 2025, MEDINFO 2025: Healthcare Smart × Medicine Deep: Proceedings of the 20th World Congress on Medical and Health Informatics . Househ, M. S., Tariq, Z. U. A., Al-Zubaidi, M., Shah, U. & Huesing, E. (eds.). Amsterdam: IOS Press, p. 1798-1799 2 p. (Studies in Health Technology and Informatics; vol. 329).Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review
Open AccessFile43 Downloads (Pure)