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Lecturer in Health Informatics at King's College London
Examining electronic health record-based digital health interventions, including personalised decision support, and the impact of formalising patient cohort definitions as computable, multi-platform phenotypes.
2019 Research Associate/Fellow in Phenomics at King's College London
Involved in developing models and tooling for computable phenotype definitions, funded by HDR UK and the GSTT BRC.
Ink: Non-Repudiation For Large Language Models (LLMs) In Healthcare 2023
M Chapman, E Fairweather and C Hampson
Mechanisms For Integrating Real Data Into Search Game Simulations: An Application To Winter Health Service Pressures And Preventative Policies 2023
M Chapman, A G-Medhin, 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
Using Version Control Systems To Support High-Quality Phenotype Definitions 2023
M Chapman, L Rasmussen, J Pacheco and V Curcin
Using Microservices To Design Patient-Facing Research Software 2022
M Chapman, I Sassoon, N KΓΆkciyan, E I Sklar and V Curcin
Connecting Computable Phenotypes With Multiple Health It Standards Using The Phenoflow Library 2022
M Chapman, L Rasmussen, J Pacheco 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
REFLECT: Wearable sensors for personalised decision support 2021-2022
EPSRC (Impact Acceleration Award). GBP 55564.64