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Lecturer in Health Informatics at King's College London
My research broadly focuses on decision support, primarily in healthcare but also in other domains. This includes the use of AI to simulate human behaviour and evaluate public health interventions; formalising patient cohort definitions as computable, multi-platform phenotypes to aid disease identification; and data integration for clinical decision support systems, all to guide decision-making.
I am an Academic Co-Lead for the Principles of Health Informatics module on the Masters of Public Health Programme.
Mechanisms For Integrating Real Data Into Search Game Simulations: An Application To Winter Health Service Pressures And Preventative Policies 2024
M Chapman, K Daneshi, T Bramwell, S Durbaba, V Curcin, D Parmar, H Boulding, L Becares, C Morgan, M Molokhia, P McBurney, S Harding, I Wolfe, M Ashworth and L Poston
Ink: Non-Repudiation For Large Language Models (LLMs) In Healthcare 2023
M Chapman, E Fairweather and C Hampson
Connecting Computable Phenotypes With Multiple Health It Standards Using The Phenoflow Library 2022
M Chapman, L V Rasmussen, J A Pacheco and V Curcin
Using Microservices To Design Patient-Facing Research Software 2022
M Chapman, I Sassoon, N Kökciyan, E I Sklar and V Curcin
Using AI to understand how preventative interventions can improve the health of children in the UK and reduce winter pressures on the NHS 2023
HDR UK and the NIHR. GBP 54070.69