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Staff Profile

Dr Mike Allen

Senior Research Fellow in Applied Healthcare Modelling and Data Science

Kath Maguire

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?

Email me

Contact by phone
01392 726080

Employed by
University of Exeter

Areas of expertise
Modelling, Data Science, Machine Learning

Projects

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 Learning

Publications

Providing one-to-one care in labour. Analysis of 'Birthrate Plus' labour ward staffing in real and simulated labour ward environments

Right cot, right place, right time: improving the design and organisation of neonatal care networks

Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysis

Maximising access to thrombectomy services for stroke in England: A modelling study

Can clinical audits be enhanced by pathway simulation and machine learning? An example from the acute stroke pathway.

Planning and providing acute stroke care in England: the effect of planning footprint size

Involving patients and the public in healthcare operational research - the challenges and opportunities

Exploring the cost-effectiveness of mechanical thrombectomy beyond six hours following advanced imaging in the UK

Involving patients and the public in healthcare operational research

A framework to accelerate simulation studies of hyperacute stroke systems

A framework to accelerate simulation studies of hyperacute stroke systems

How can frontline expertise and new models of care best contribute to safely reducing avoidable acute admissions? A mixed-methods study of four acute hospitals.

Upcoming Events

Jan
21

PPI Advice Clinic

Online

Patient and Public Involvement Advice Clinics Whatever your query, from finding out more about Patient and...
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Jan
26

Searching and Review Clinic

Online

COVID-19 update: As a result of the pandemic, all PenARC staff are currently working remotely. While...
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Calendar

News

Could physical activity help minimise drug and alcohol use?

17 December 2020

Figures and surveys have shown that high-risk alcohol consumption increased during lockdown periods, while exercise...
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£300,000 from NIHR to investigate the views of older adults on strategies to improve recovery from planned surgery

10 December 2020

A team of researchers from across the University of Exeter Medical School, Royal Devon &...
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'Why physical activity matters more than ever'

01 December 2020

Professor of Health Service Research, Adrian Taylor, discusses motivation, exercise schemes, and the future impact on...
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News

Research Projects

Police Service Modelling Associates (PSMA) Programme

Theme: ARC - Methods for Research & Improvement

The PSMA Programme is a pilot programme which supports analytical staff working in policing to...
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Remote-by-Default Care in the COVID-19 Pandemic

Theme: ARC - Public Health

A research project to investigate how to ensure the delivery of effective care accessed remotely...
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Research Projects