Tom Monks

Tom Monks#

Associate Professor of Health Data Science

Publications#

2023#

Monks, T., Harper, A. (2023). Improving the usability of open health service delivery simulation models using Python and web apps. National Institute for Health and Care Research. dx.doi.org/10.3310/nihropenres.13467.2

Harper, A., Monks, T., Wilson, R., Redaniel, M., Eyles, E., Jones, T., Penfold, C., Elliott, A., Keen, T., Pitt, M., Blom, A., Whitehouse, M., Judge, A. (2023). Development and application of simulation modelling for orthopaedic elective resource planning in England. BMJ. dx.doi.org/10.1136/bmjopen-2023-076221

Monks, T., Harper, A., Mustafee, N. (2023). Towards Sharing Tools and Artefacts for Reusable Simulations in Healthcare. Center for Open Science. dx.doi.org/10.31219/osf.io/zrqve

Harper, A., Monks, T., Manzi, S. (2023). Deploying Healthcare Simulation Models Using Containerization and Continuous Integration. Center for Open Science. dx.doi.org/10.31219/osf.io/qez45

Monks, T., Harper, A. (2023). Improving the usability of open health service delivery simulation models using Python and web apps. National Institute for Health and Care Research. dx.doi.org/10.3310/nihropenres.13467.1

Monks, T., Harper, A. (2023). Computer model and code sharing practices in healthcare discrete-event simulation: a systematic scoping review. Informa UK Limited. dx.doi.org/10.1080/17477778.2023.2260772

Monks, T., Harper, A. (2023). Computer model and code sharing practices in healthcare discrete-event simulation: a systematic scoping review. Center for Open Science. dx.doi.org/10.31219/osf.io/c4ytf

Harper, A., Monks, T., Wilson, R., Redaniel, M., Eyles, E., Jones, T., Penfold, C., Elliott, A., Keen, T., Pitt, M., Blom, A., Whitehouse, M., Judge, A. (2023). POST-COVID ORTHOPAEDIC ELECTIVE RESOURCE PLANNING USING SIMULATION MODELLING. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2023.05.31.23290774

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. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2023.04.24.23289017

Crowe, S., Grieco, L., Monks, T., Keogh, B., Penn, M., Clancy, M., Elkhodair, S., Vindrola-Padros, C., Fulop, N., Utley, M. (2023). Here’s something we prepared earlier: Development, use and reuse of a configurable, inter-disciplinary approach for tackling overcrowding in NHS hospitals. Informa UK Limited. dx.doi.org/10.1080/01605682.2023.2199094

2022#

Allen, M., James, C., Frost, J., Liabo, K., Pearn, K., Monks, T., Zhelev, Z., Logan, S., Everson, R., James, M., Stein, K. (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. National Institute for Health and Care Research. dx.doi.org/10.3310/GVZL5699

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. Ovid Technologies (Wolters Kluwer Health). dx.doi.org/10.1161/STROKEAHA.121.038454

Monks, T., Harper, A., Anagnostou, A., Taylor, S. (2022). Open Science for Computer Simulation. Center for Open Science. dx.doi.org/10.31219/osf.io/zpxtm

2021#

Monks, T., Allen, M., Harper, A., Mayne, A., Collins, L. (2021). Forecasting the daily demand for emergency medical ambulances in England and Wales: A benchmark model and external validation. Center for Open Science. dx.doi.org/10.31219/osf.io/a6nu5

Griffiths, P., Saville, C., Ball, J., Jones, J., Monks, T. (2021). Beyond ratios - flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: A simulation and economic modelling study. Elsevier BV. dx.doi.org/10.1016/j.ijnurstu.2021.103901

2020#

Onggo, B., Corlu, C., Juan, A., Monks, T., de la Torre, R. (2020). Combining symbiotic simulation systems with enterprise data storage systems for real-time decision-making. Informa UK Limited. dx.doi.org/10.1080/17517575.2020.1777587

Griffiths, P., Saville, C., Ball, J., Jones, J., Monks, T. (2020). Beyond ratios - flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: a simulation and economic modelling study. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2020.11.30.20240945

Allen, M., Bhanji, A., Willemsen, J., Dudfield, S., Logan, S., Monks, T. (2020). A simulation modelling toolkit for organising outpatient dialysis services during the COVID-19 pandemic. Public Library of Science (PLoS). dx.doi.org/10.1371/journal.pone.0237628

Allen, M., Bhanji, A., Willemsen, J., Dudfield, S., Logan, S., Monks, T. (2020). Organising outpatient dialysis services during the COVID-19 pandemic. A simulation and mathematical modelling study. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/2020.04.22.20075457

Currie, C., Fowler, J., Kotiadis, K., Monks, T., Onggo, B., Robertson, D., Tako, A. (2020). How simulation modelling can help reduce the impact of COVID-19. Informa UK Limited. dx.doi.org/10.1080/17477778.2020.1751570

Saville, C., Monks, T., Griffiths, P., Ball, J. (2020). Costs and consequences of using average demand to plan baseline nurse staffing levels: a computer simulation study. BMJ. dx.doi.org/10.1136/bmjqs-2019-010569

Griffiths, P., Saville, C., Ball, J., Jones, J., Pattison, N., Monks, T. (2020). Nursing workload, nurse staffing methodologies and tools: A systematic scoping review and discussion. Elsevier BV. dx.doi.org/10.1016/j.ijnurstu.2019.103487

2019#

Penn, M., Monks, T., Kazmierska, A., Alkoheji, M. (2019). Towards generic modelling of hospital wards: Reuse and redevelopment of simple models. Informa UK Limited. dx.doi.org/10.1080/17477778.2019.1664264

Keogh, B., Monks, T. (2019). The impact of delayed transfers of care on emergency departments: common sense arguments, evidence and confounding. BMJ. dx.doi.org/10.1136/emermed-2018-207917

Griffiths, P., Saville, C., Ball, J., Culliford, D., Pattison, N., Monks, T. (2019). Performance of the Safer Nursing Care Tool to measure nurse staffing requirements in acute hospitals: a multi-centre observational study. Cold Spring Harbor Laboratory. dx.doi.org/10.1101/19011320

Saville, C., Griffiths, P., Ball, J., Monks, T. (2019). How many nurses do we need? A review and discussion of operational research techniques applied to nurse staffing. Elsevier BV. dx.doi.org/10.1016/j.ijnurstu.2019.04.015

2018#

Penn, M., Monks, T., Pope, C., Clancy, M. (2018). A mixed methods study of the impact of consultant overnight working in an English Emergency Department. BMJ. dx.doi.org/10.1136/emermed-2018-207571

Monks, T., Currie, C., Onggo, B., Robinson, S., Kunc, M., Taylor, S. (2018). Strengthening the reporting of empirical simulation studies: Introducing the STRESS guidelines. Informa UK Limited. dx.doi.org/10.1080/17477778.2018.1442155

Johnson, M., Cross, L., Sandison, N., Stevenson, J., Monks, T., Moore, M. (2018). Funding and policy incentives to encourage implementation of point-of-care C-reactive protein testing for lower respiratory tract infection in NHS primary care: a mixed-methods evaluation. BMJ. dx.doi.org/10.1136/bmjopen-2018-024558

Keogh, B., Culliford, D., Guerrero-Ludueña, R., Monks, T. (2018). Exploring emergency department 4-hour target performance and cancelled elective operations: a regression analysis of routinely collected and openly reported NHS trust data. BMJ. dx.doi.org/10.1136/bmjopen-2017-020296

2017#

Penn, M., Meskarian, R., Monks, T. (2017). Using Health Systems Analytics to Help the NHS. Informa UK Limited. dx.doi.org/10.1080/2058802X.2017.11969258

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. dx.doi.org/10.1136/bmjopen-2017-018143

Taylor, S., Anagnostou, A., Fabiyi, A., Currie, C., Monks, T., Barbera, R., Becker, B. (2017). Open science: Approaches and benefits for modeling & simulation. IEEE. dx.doi.org/10.1109/WSC.2017.8247813

Monks, T., Meskarian, R. (2017). Using simulation to help hospitals reduce emergency department waiting times: Examples and impact. IEEE. dx.doi.org/10.1109/WSC.2017.8248000

Monks, T., van der Zee, D., Lahr, M., Allen, M., Pearn, K., James, M., Buskens, E., Luijckx, G. (2017). A framework to accelerate simulation studies of hyperacute stroke systems. Elsevier BV. dx.doi.org/10.1016/j.orhc.2017.09.002

Meskarian, R., Penn, M., Williams, S., Monks, T. (2017). A facility location model for analysis of current and future demand for sexual health services. Public Library of Science (PLoS). dx.doi.org/10.1371/journal.pone.0183942

2016#

Monks, T., Worthington, D., Allen, M., Pitt, M., Stein, K., James, M. (2016). A modelling tool for capacity planning in acute and community stroke services. Springer Science and Business Media LLC. dx.doi.org/10.1186/s12913-016-1789-4

Craig, P., Rahm-Hallberg, I., Britten, N., Borglin, G., Meyer, G., Köpke, S., Noyes, J., Chandler, J., Levati, S., Sales, A., Thabane, L., Giangregorio, L., Feeley, N., Cossette, S., Taylor, R., Hill, J., Richards, D., Kuyken, W., von Essen, L., Williams, A., Hemming, K., Lilford, R., Girling, A., Taljaard, M., Dimairo, M., Petticrew, M., Baird, J., Moore, G., Odendaal, W., Atkins, S., Lutge, E., Leon, N., Lewin, S., Payne, K., van Achterberg, T., Sermeus, W., Pitt, M., Monks, T. (2016). Researching Complex Interventions in Health: The State of the Art. Springer Science and Business Media LLC. dx.doi.org/10.1186/s12913-016-1274-0

Monks, T., Robinson, S., Kotiadis, K. (2016). Can involving clients in simulation studies help them solve their future problems? A transfer of learning experiment. Elsevier BV. dx.doi.org/10.1016/j.ejor.2015.08.037

2015#

Monks, T. (2015). Operational research as implementation science: definitions, challenges and research priorities. Springer Science and Business Media LLC. dx.doi.org/10.1186/S13012-016-0444-0

Monks, T., Pearn, K., Allen, M. (2015). Simulation of stroke care systems. IEEE. dx.doi.org/10.1109/WSC.2015.7408262

Pitt, M., Monks, T., Crowe, S., Vasilakis, C. (2015). Systems modelling and simulation in health service design, delivery and decision making. BMJ. dx.doi.org/10.1136/bmjqs-2015-004430

Monks, T., Pearson, M., Pitt, M., Stein, K., James, M. (2015). Evaluating the impact of a simulation study in emergency stroke care. Elsevier BV. dx.doi.org/10.1016/j.orhc.2015.09.002

Penn, M., Kennedy, A., Vassilev, I., Chew-Graham, C., Protheroe, J., Rogers, A., Monks, T. (2015). Modelling self-management pathways for people with diabetes in primary care. Springer Science and Business Media LLC. dx.doi.org/10.1186/s12875-015-0325-7

Hoad, K., Monks, T., O’Brien, F. (2015). The use of search experimentation in discrete-event simulation practice. Informa UK Limited. dx.doi.org/10.1057/jors.2014.79

2014#

Monks, T., Pitt, M., Stein, K., James, M. (2014). Hyperacute stroke care and NHS England’s business plan. BMJ. dx.doi.org/10.1136/bmj.g3049

Monks, T., Robinson, S., Kotiadis, K. (2014). Learning from discrete-event simulation: Exploring the high involvement hypothesis. Elsevier BV. dx.doi.org/10.1016/j.ejor.2013.10.003

2013#

Pearson, M., Monks, T., Gibson, A., Allen, M., Komashie, A., Fordyce, A., Harris-Golesworthy, F., Pitt, M., Brailsford, S., Stein, K. (2013). Involving patients and the public in healthcare operational research—The challenges and opportunities. Elsevier BV. dx.doi.org/10.1016/j.orhc.2013.09.001

2012#

Monks, T., Pitt, M., Stein, K., James, M. (2012). Maximizing the Population Benefit From Thrombolysis in Acute Ischemic Stroke. Ovid Technologies (Wolters Kluwer Health). dx.doi.org/10.1161/strokeaha.112.663187

Pitt, M., Monks, T., Agarwal, P., Worthington, D., Ford, G., Lees, K., Stein, K., James, M. (2012). Will Delays in Treatment Jeopardize the Population Benefit From Extending the Time Window for Stroke Thrombolysis?. Ovid Technologies (Wolters Kluwer Health). dx.doi.org/10.1161/strokeaha.111.638650

2011#

Hoad, K., Monks, T. (2011). A note on the use of multiple comparison scenario techniques in education and practice. IEEE. dx.doi.org/10.1109/wsc.2011.6148081

2009#

Monks, T., Robinson, S., Kotiadis, K. (2009). Model reuse versus model development: Effects on credibility and learning. IEEE. dx.doi.org/10.1109/wsc.2009.5429691