Thomas Monks
Thomas Monks
Associate Professor of Health Data Science, University of Exeter
Verified email at - Homepage
Cited by
Cited by
How simulation modelling can help reduce the impact of COVID-19
CSM Currie, JW Fowler, K Kotiadis, T Monks, BS Onggo, DA Robertson, ...
Journal of Simulation 14 (2), 83-97, 2020
Systems modelling and simulation in health service design, delivery and decision making
M Pitt, T Monks, S Crowe, C Vasilakis
BMJ quality & safety 25 (1), 38-45, 2016
Maximizing the population benefit from thrombolysis in acute ischemic stroke: a modeling study of in-hospital delays
T Monks, M Pitt, K Stein, M James
Stroke 43 (10), 2706-2711, 2012
Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines
T Monks, CSM Currie, BS Onggo, S Robinson, M Kunc, SJE Taylor
Journal of Simulation 13 (1), 55-67, 2019
Operational research as implementation science: definitions, challenges and research priorities
T Monks
Implementation Science 11 (1), 1-10, 2015
Will delays in treatment jeopardize the population benefit from extending the time window for stroke thrombolysis?
M Pitt, T Monks, P Agarwal, D Worthington, GA Ford, KR Lees, K Stein, ...
Stroke 43 (11), 2992-2997, 2012
Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment
T Monks, S Robinson, K Kotiadis
European Journal of Operational Research 249 (3), 919-930, 2016
Learning from discrete-event simulation: Exploring the high involvement hypothesis
T Monks, S Robinson, K Kotiadis
European Journal of Operational Research 235 (1), 195-205, 2014
Involving patients and the public in healthcare operational research—The challenges and opportunities
M Pearson, T Monks, A Gibson, M Allen, A Komashie, A Fordyce, ...
Operations Research for Health Care 2 (4), 86-89, 2013
A modelling tool for capacity planning in acute and community stroke services
T Monks, D Worthington, M Allen, M Pitt, K Stein, MA James
BMC health services research 16 (1), 1-8, 2016
Researching complex interventions in health: the state of the art
P Craig, I Rahm-Hallberg, N Britten, G Borglin, G Meyer, S Köpke, ...
BMC health services research 16 (1), 1-5, 2016
Evaluating the impact of a simulation study in emergency stroke care
T Monks, M Pearson, M Pitt, K Stein, MA James
Operations Research for Health Care 6, 40-49, 2015
Hyperacute stroke care and NHS England’s business plan
T Monks, M Pitt, K Stein, MA James
Bmj 348, 2014
Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion
P Griffiths, C Saville, J Ball, J Jones, N Pattison, T Monks, ...
International journal of nursing studies 103, 103487, 2020
Modelling self-management pathways for people with diabetes in primary care
ML Penn, AP Kennedy, II Vassilev, CA Chew-Graham, J Protheroe, ...
BMC family practice 16 (1), 1-10, 2015
How many nurses do we need? A review and discussion of operational research techniques applied to nurse staffing
CE Saville, P Griffiths, JE Ball, T Monks
International journal of nursing studies 97, 7-13, 2019
The use of search experimentation in discrete-event simulation practice
K Hoad, T Monks, F O'brien
Journal of the Operational Research Society 66 (7), 1155-1168, 2015
Model reuse versus model development: Effects on credibility and learning
T Monks, S Robinson, K Kotiadis
Proceedings of the 2009 Winter Simulation Conference (WSC), 767-778, 2009
Feasibility of a hyper-acute stroke unit model of care across England: a modelling analysis
M Allen, K Pearn, E Villeneuve, T Monks, K Stein, M James
BMJ open 7 (12), e018143, 2017
Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data
B Keogh, D Culliford, R Guerrero-Ludueña, T Monks
BMJ open 8 (5), 2018
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