Dr. Martin Chapman
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.
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
phenoflow Standardise and share computable disease definitionsreflect Middleware for interacting with wearable devices
consult Modular decision-support system for chronic condition self-management
hands Run AI Search Game Hide-and-Seek simulations as a decision-support tool
learning-errors Abstractly represent software error traces as finite automata.
Talks
Mechanisms for Integrating Real Data into Search Game Simulations: An Application to Winter Health Service Pressures and Preventative Policies AMIA Informatics Summit, Boston, 2024Technical 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
Students
(non-exhaustive)Chenhui Wang, 2023 Using AI to autonomously identify diseases within groups of patientsManik Aggarwal, 2024 hands-visualisation-module
Kithia Ngigi, 2023 phenoflow-server
Dengyi Yan, 2023 cwlviewer
Rishi Ganeshan, 2023 cwl-ml
Antonio López Martínez-Carrasco, 2022 phenoflow-ml
Teaching software
jupyter-teaching Automatically create and configure a collaborative Jupyter environment for teachingLectures
Principles of Health Informatics: Artificial intelligence and machine learningPrinciples of Health Informatics: Clinical decision support systems
Principles of Health Informatics: Evaluating medical software
Principles of Health Informatics: Usability of medical software
Principles of Health Informatics: Social networks, telehealth, and mobile health
Principles of Health Informatics: Communication systems in healthcare
Principles of Health Informatics: Terminologies and classification systems
Principles of Health Informatics: Representing medical knowledge
Principles of Health Informatics: Informatics skills - searching and making decisions
Principles of Health Informatics: Informatics skills - communicating, structuring, and questioning
Principles of Health Informatics: Models, information, and information systems
Assignments
robot 2022 software sustainability workshop solutionLanguages
JavaScriptProcrastinations
coincoin Illustrative cryptocurrency client and middleware.google-scholar-extended nodejs module for listing profile information
not-so-naivecoin Adding Bitcoin-like features to Naivecoin.