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
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
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
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
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
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
Operational research as implementation science: definitions, challenges and research priorities
T Monks
Implementation Science 11, 1-10, 2015
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
Beyond ratios-flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: A simulation and economic modelling study
P Griffiths, C Saville, JE Ball, J Jones, T Monks, ...
International Journal of Nursing Studies 117, 103901, 2021
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, 1-8, 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
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
Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making
BS Onggo, CG Corlu, AA Juan, T Monks, R de la Torre
Enterprise Information Systems 15 (2), 230-247, 2021
The Safer Nursing Care Tool as a guide to nurse staffing requirements on hospital wards: observational and modelling study
P Griffiths, C Saville, JE Ball, R Chable, A Dimech, J Jones, Y Jeffrey, ...
Costs and consequences of using average demand to plan baseline nurse staffing levels: a computer simulation study
C Saville, T Monks, P Griffiths, JE Ball
BMJ quality & safety 30 (1), 7-16, 2021
A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic
M Allen, A Bhanji, J Willemsen, S Dudfield, S Logan, T Monks
PLoS One 15 (8), e0237628, 2020
Researching complex interventions in health: the state of the art: Exeter, UK. 14-15 October 2015
P Craig, I Rahm-Hallberg, N Britten, G Borglin, G Meyer, S Köpke, ...
BMC health services research 16, 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
A framework to accelerate simulation studies of hyperacute stroke systems
T Monks, DJ Van der Zee, MMH Lahr, M Allen, K Pearn, MA James, ...
Operations Research for Health Care 15, 57-67, 2017
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