Dr. Martin Chapman

Lecturer in Health Informatics at King's College London

My research broadly focuses on the area of decision support, primarily for 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.

Selected publications

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

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

Software
hands  Run AI Search Game Hide-and-Seek simulations as a decision-support tool
learning-errors  Abstractly represent software error traces as finite automata.
reflect  Middleware for interacting with wearable devices
social-traders  A plugin for the multi-market simulator JCAT, enabling social interaction between autonomous traders.
drg  Infrastructure for running a distributed HANDS research game.

Talks

Mechanisms for Integrating Real Data into Search Game Simulations: An Application to Winter Health Service Pressures and Preventative Policies  AMIA Informatics Summit, Boston, 2024
Technical Validation through Automated Testing  Computational Phenotyping and Software Engineering, AMIA Informatics Summit, Boston, 2024
Scalable architectures for phenotype libraries  Building (inter)national phenotype libraries, AMIA Annual Symposium, New Orleans, 2023
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

Service

2022 - 2024  Programme Comittee  Workshop on Trusted Smart Contracts (WTSC) 
2022  Reviewer  Drug Safety 
2023  Reviewer  Software and Systems Modelling 
2023  Reviewer  International Journal of Medical Informatics 
2023  Reviewer  Research Involvement and Engagement 
2024  Programme Comittee  Artificial Intelligence in Medicine (AIME) 
2024  Reviewer  JAMIA Open 
2024  Reviewer  AMIA Annual Symposium 

Languages

JavaScript

Procrastinations

coincoin  Illustrative cryptocurrency client and middleware.
google-scholar-extended  nodejs module for listing profile information
not-so-naivecoin  Adding Bitcoin-like features to Naivecoin.

© Martin Chapman

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