
My main interests are the application of modelling and machine learning to understanding and improving clinical pathways. Work, for example, includes modelling of the acute stroke pathway, with machine learning being used to understand and predict clinical decision making, allowing us to ask questions such as “what treatment would this patient receive if they went to another hospital?”.
I also have a general interest in how ‘deep reinforcement learning’ may be applied to healthcare. Can, for example, the Deep Mind agents that learned to play Go and Chess learn how to manage escalation/de-escalation policies in a hospital?
Contact by phone
01392 726080
Employed by
University of Exeter
Areas of expertise
Modelling, Data Science, Machine Learning
PenCHORD - Scheduling Community Mental Health Assessment in Devon
PenCHORD - NeoNet: Providing a national demand/capacity model for neonatal care in England PenCHORD - STEMI: Appropriate treatment for ST-elevation heart attacks PenCHORD - Plymouth Community Nursing PenCHORD - Neonatal PenCHORD - Doctor First PenCHORD - 18 week R2T PenCHORD - Cornwall acute and community stroke bed capacity modelling PenCHORD - Torbay and South Devon stroke care SW AHSN/PenCHORD project - Achieving step change in the emergency stroke pathway across the South West peninsula PenCHORD - Maximising access to thrombectomy services for stroke in England PenCHORD - Mapping and reconfiguration of hyperacute stroke services in Wales PenCHORD - SCN urgent care review: Modelling provision for stroke and cardiac services in the South West region Dialysis Service Modelling in Portsmouth Supporting the NHS through Operational Research SAMueL – Stroke Audit Machine LearningOnline
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