Digital Health Equity seminar: Equitable Large Language Models (LLMs) for health: the role of patients and the public
| Dates: | 9 September 2026 |
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| Times: | 13:00 - 14:00 |
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| What is it: | Seminar |
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| Organiser: | Digital Futures |
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| Who is it for: | University staff, External researchers, Adults, Alumni, Current University students, General public |
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| Speaker: | Mel Ramasawmy |
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The next seminar in the University of Manchester Digital Health Equity Seminar Series is on Wed 9th-Sep, 1-2pm via Zoom: https://zoom.us/j/99298120163. Mel Ramasawmy (Queen Mary University of London) will talk about Equitable Large Language Models (LLMs) for health: the role of patients and the public.
In this talk, Mel will describe a co-design approach where she developed educational animations about LLMs to support patient and public involvement and engagement (PPIE) in health AI research. She will share some examples of how approaches to supporting AI literacy can strengthen PPIE insights into AI-focused health research, drawing on her own programme of work in equity in patient-facing AI tools.
Find more information about the talk and the speaker on our webpage.
Speaker
Mel Ramasawmy
Role: Qualitative health services researcher
Organisation: Queen Mary University of London
Biography: Dr Mel Ramasawmy is a qualitative health services researcher at the Queen Mary University of London, working at the intersection of digital health, equity, and patient experiences of access and care for long-term health conditions including cardiometabolic disease, Long Covid, cancer, and depression. She holds a PhD in Anthropology from Roehampton University, and has a background in health policy, covering medicine and medical device safety, and social care. Mel is currently supported by the NIHR Pre-Application Support Fund, to develop a programme of work on understanding inequity in patient-facing AI.
Travel and Contact Information
