A framework to accelerate simulation studies of hyperacute stroke systems
A framework to accelerate simulation studies of hyperacute stroke systems
Stroke care has been identified as an area where operations research has great potential. In recent years there has been a small but sustained stream of discrete-event simulation case studies in modelling hyperacute stroke systems. The nature of such case studies has led to a fragmented knowledge base and high entry cost to stroke modelling research. Two common issues have faced researchers in stroke care: understanding the logistics and clinical aspects of stroke care and moving from these findings to an appropriately detailed model. We aim to accelerate studies in this area by introducing a conceptual modelling framework that is domain specific for stroke. A domain specific framework trades-off the wide applicability of a general framework against increased efficiency and reuse to support modelling in the problem domain. This compromise is appropriate when the problem domain is complex, of high value to society, and where the saving in future modelling effort is likely to be greater than the effort to create the framework. We detail the requirements of a domain specific conceptual model and then provide domain specific knowledge to support modellers in gaining an understanding of the problem situation, translating this knowledge into selected model outputs, inputs and content in the case of hyperacute stroke. We illustrate the use of the framework with an example based at a large hospital in the United Kingdom.
Stroke, Modelling framework, Simulation, Reuse
Monks, Thomas
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Van der Zee, Durk-Jouke
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Lahr, Maarten M.H
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Pearn, Kerry
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James, Martin A.
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Buskens, Erik
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Luijckx, Gert-Jan
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Monks, Thomas
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Van der Zee, Durk-Jouke
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Lahr, Maarten M.H
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Pearn, Kerry
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James, Martin A.
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Buskens, Erik
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Luijckx, Gert-Jan
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Monks, Thomas, Van der Zee, Durk-Jouke, Lahr, Maarten M.H, Pearn, Kerry, James, Martin A., Buskens, Erik and Luijckx, Gert-Jan
(2017)
A framework to accelerate simulation studies of hyperacute stroke systems.
Operations Research for Health Care.
(doi:10.1016/j.orhc.2017.09.002).
Abstract
Stroke care has been identified as an area where operations research has great potential. In recent years there has been a small but sustained stream of discrete-event simulation case studies in modelling hyperacute stroke systems. The nature of such case studies has led to a fragmented knowledge base and high entry cost to stroke modelling research. Two common issues have faced researchers in stroke care: understanding the logistics and clinical aspects of stroke care and moving from these findings to an appropriately detailed model. We aim to accelerate studies in this area by introducing a conceptual modelling framework that is domain specific for stroke. A domain specific framework trades-off the wide applicability of a general framework against increased efficiency and reuse to support modelling in the problem domain. This compromise is appropriate when the problem domain is complex, of high value to society, and where the saving in future modelling effort is likely to be greater than the effort to create the framework. We detail the requirements of a domain specific conceptual model and then provide domain specific knowledge to support modellers in gaining an understanding of the problem situation, translating this knowledge into selected model outputs, inputs and content in the case of hyperacute stroke. We illustrate the use of the framework with an example based at a large hospital in the United Kingdom.
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Accepted/In Press date: 15 September 2017
e-pub ahead of print date: 21 September 2017
Keywords:
Stroke, Modelling framework, Simulation, Reuse
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Local EPrints ID: 415203
URI: http://eprints.soton.ac.uk/id/eprint/415203
PURE UUID: 8c0e2ec0-ef88-43a7-adaa-0f533cebb5bd
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Date deposited: 02 Nov 2017 17:30
Last modified: 15 Mar 2024 16:36
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Contributors
Author:
Thomas Monks
Author:
Durk-Jouke Van der Zee
Author:
Maarten M.H Lahr
Author:
Kerry Pearn
Author:
Martin A. James
Author:
Erik Buskens
Author:
Gert-Jan Luijckx
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