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Dr Martin Chapman is a Lecturer in Health Informatics at King's College London. His research examines electronic health record-based digital health interventions, including personalised decision support, and the impact of formalising patient cohort definitions as computable, multi-platform phenotypes.

Martin has a background in informatics, and holds a Ph.D. on the topics of artificial intelligence (multi-agent simulation) and network security. Following his Ph.D. studies he lectured for several years in the Department of Informatics at King's, where he received a Teaching Excellence Award for his work teaching programming and qualified as a Fellow of the Higher Education Academy.

His work in health informatics has included the development of digital interventions for stroke patients based on EHR and wearable device data, which are used within the CONSULT decision support system (DSS); the REFLECT project, which he devised and led, that also explored the impact of wearable device data on digital interventions, and resulted in the integration of this data with the commercial DSS developed by Metadvice Ltd., a global health technology company; and the HDR UK national phenotype library initiative, for which he developed Phenoflow, a platform that standardises phenotype definitions and provides researchers with the means to computationally derive patient cohorts from local datasets.