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University of Exeter Medical School

 Kerry Pearn

Kerry Pearn

Associate Research Fellow


 +44 (0) 1392 726086

 South Cloisters 2.30


South Cloisters, University of Exeter, St Luke's Campus, Heavitree Road, Exeter, EX1 2LU, UK


I joined the Medical School in September 2014 to work within PenCHORD as a modeller. My key role is to apply mathematical optimisation techniques to improve the efficiency and quality of healthcare systems. I am currently investigating how different configurations of hospitals within the South West region, which offer Emergency and Urgent Care, have an impact on the regions patients. Prior to joining PenCHORD, I gained a Mathematics and Sports Science BSc degree from Birmingham University and pursued my enjoyment of Operational Research at Silsoe Research Institute and Cranfield University, applying mathematical modelling techniques to optimise agricultural systems.

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Journal articles

Pearn K, Allen M, Laws A, Monks T, Everson R, James M (2023). What would other emergency stroke teams do? Using explainable machine learning to understand variation in thrombolysis practice. European Stroke Journal Abstract.
Allen M, Pearn K, Ford GA, White P, Rudd AG, McMeekin P, Stein K, James M (2022). National implementation of reperfusion for acute ischaemic stroke in England: How should services be configured? a modelling study. European Stroke Journal, 7(1), 28-40. Abstract.
Allen M, James C, Frost J, Liabo K, Pearn K, Monks T, Everson R, Stein K, James M (2022). Use of Clinical Pathway Simulation and Machine Learning to Identify Key Levers for Maximizing the Benefit of Intravenous Thrombolysis in Acute Stroke. Stroke, 53(9), 2758-2767. Abstract.  Author URL.
Allen M, James C, Frost J, Liabo K, Pearn K, Monks T, Zhelev Z, Logan S, Everson R, James M, et al (2022). Using simulation and machine learning to maximise the benefit of intravenous thrombolysis in acute stroke in England and Wales: the SAMueL modelling and qualitative study. Health and Social Care Delivery Research, 10(31), 1-148. Abstract.
Allen M, Pearn K, Monks T (2021). Developing an OpenAI Gym-compatible framework and simulation environment. for testing Deep Reinforcement Learning agents solving the Ambulance Location. Problem.  Abstract.  Author URL.
Allen M, Pearn K, Ford GA, White P, Rudd A, McMeekin P, Stein K, James M (2021). Implementing the NHS England Long Term Plan for stroke: how should reperfusion services be configured? a modelling study.  Abstract.
Allen M, Pearn K, Stein K, James M (2020). Estimation of stroke outcomes based on time to thrombolysis and thrombectomy.  Abstract.
Allen M, Pearn K, Monks T, Bray BD, Everson R, Salmon A, James M, Stein K (2019). Can clinical audits be enhanced by pathway simulation and machine learning? an example from the acute stroke pathway. BMJ Open, 9(9). Abstract.  Author URL.
Allen M, Pearn K, James M, Ford GA, White P, Rudd AG, McMeekin P, Stein K (2019). Maximising access to thrombectomy services for stroke in England: a modelling study. European Stroke Journal, 4(1), 39-49. Abstract.
Allen M, Pearn K, Villeneuve E, James M, Stein K (2019). Planning and Providing Acute Stroke Care in England: the Effect of Planning Footprint Size. FRONTIERS IN NEUROLOGY, 10 Author URL.
Monks T, van der Zee DJ, Lahr MMH, Allen M, Pearn K, James MA, Buskens E, Luijckx GJ (2017). A framework to accelerate simulation studies of hyperacute stroke systems. Operations Research for Health Care, 15, 57-67. Abstract.
Allen M, Pearn K, Villeneuve E, Monks T, Stein K, James M (2017). Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysis. BMJ Open, 7(12). Abstract.  Author URL.
Delgado J, Pollard S, Pearn K, Snary EL, Black E, Prpich G, Longhurst P (2017). UK Foot and Mouth Disease: a Systemic Risk Assessment of Existing Controls. RISK ANALYSIS, 37(9), 1768-1782. Author URL.
Webb J, Audsley E, Williams A, Pearn K, Chatterton J (2014). Can UK livestock production be configured to maintain production while meeting targets to reduce emissions of greenhouse gases and ammonia?. Journal of Cleaner Production, 83, 204-211.
Audsley E, Trnka M, Sabaté S, Maspons J, Sanchez A, Sandars D, Balek J, Pearn K (2014). Interactively modelling land profitability to estimate European agricultural and forest land use under future scenarios of climate, socio-economics and adaptation. Climatic Change, 128(3-4), 215-227.
WHEELER TR, AUDSLEY E, BONSALL MB, POWERS SJ, PIRIE EJ, NEMETH C, TOPP CFE, REES RM, MUETZELFELDT RI, OUGHAM H, et al (2009). Proceedings of the Forty-first Meeting of the Agricultural Research Modellers' Group. The Journal of Agricultural Science, 147(6), 731-742.
Henriques C, Holman IP, Audsley E, Pearn K (2008). An interactive multi-scale integrated assessment of future regional water availability for agricultural irrigation in East Anglia and North West England. Climatic Change, 90(1-2), 89-111.
Holman IP, Rounsevell MDA, Cojacaru G, Shackley S, McLachlan C, Audsley E, Berry PM, Fontaine C, Harrison PA, Henriques C, et al (2008). The concepts and development of a participatory regional integrated assessment tool. CLIMATIC CHANGE, 90(1-2), 5-30. Author URL.
Audsley E, Pearn K, Harrison PA, Berry PM (2008). The impact of future socio-economic and climate changes on agricultural land use and the wider environment in East Anglia and North West England using a metamodel system. Climatic Change: an interdisciplinary, international journal devoted to the description, causes and implications of climatic change, 90, 57-88. Abstract.
Audsley E, Pearn KR, Simota C, Cojocaru G, Koutsidou E, Rounsevell MDA, Trnka M, Alexandrov V (2006). What can scenario modelling tell us about future European scale agricultural land use, and what not?. ENVIRONMENTAL SCIENCE & POLICY, 9(2), 148-162. Author URL.


Pearn K, Manzi S, Winterton L (2018). Visualisation of the service use for individual clients with a Personality Disorder at Devon Partnership Trust to support clinical decision making. ORAHS 2018. 30th Jul - 3rd Aug 2018. Abstract.
Monks T, Pearn K, Allen M (2016). Simulation of stroke care systems.  Abstract.

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