Dr. Martin Chapman

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.

Previous position(s)

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.

Selected publications

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

Funding

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

Software
phenoflow  Portable, workflow-based phenotype definitions
hands  Run Search Game Hide-and-Seek simulations.
withings  Middleware for interacting with Withings Nokia Health devices.
jupyter  πŸ‹ JupyterHub Docker configuration
tmrweb  Store clinical guidelines and determine their interactions.

Talks

Using AI to understand how preventative interventions can improve the health of children in the UK and reduce winter pressures on the NHS.  Rethinking Poverty, Insecurity and the Cost of Living Crisis in the North West and Beyond, Liverpool, 2023
Using AI to understand how preventative interventions can improve the health of children in the UK and reduce winter pressures on the NHS  Health Foundation (All Analysts Series - Housing Conditions and Young People’s Health), London, 2023
Using AI to understand how preventative interventions can improve the health of children in the UK and reduce winter pressures on the NHS  HDR UK, London, 2023
Using Microservices to Design Patient-facing Research Software  IEEE 18th International Conference on e-Science, Salt Lake City, USA, 2022
Phenoflow: An Architecture for Computable Phenotypes  Applying FAIR principles to computable phenotype libraries, ELIXIR All Hands, Amsterdam, 2022
Phenoflow 2021  Clinical Natural Language Processing Group, University of Edinburgh, 2021
COVID-19 Analytics in Jupyter: Intuitive Provenance Integration using ProvIt  Provenance Week, 2021
Using computable phenotypes in point of care clinical trial recruitment  Medical Informatics Europe (MIE), 2021
Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions  AMIA Informatics Summit, 2021

Service

2021 - 2023  Programme Comittee  Workshop on Trusted Smart Contracts (WTSC) 
2021  Reviewer  AMIA Annual Symposium 
2021  Reviewer  Learning Health Systems 
2022  Reviewer  Drug Safety 
2023  Reviewer  Software and Systems Modeling 
2023  Reviewer  International Journal of Medical Informatics 
2023  Reviewer  Research Involvement and Engagement 

Languages

JavaScript

© Martin Chapman

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