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A framework to accelerate simulation studies of hyperacute stroke systems

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
fece343c-106d-461d-a1dd-71c1772627ca
Van der Zee, Durk-Jouke
c9e5df5b-502c-4209-a10a-f42ca7b61a33
Lahr, Maarten M.H
bb414b65-2e56-48b4-922b-209e63d29a89
Pearn, Kerry
378600fc-7eaf-4667-a1f0-8bc6df773810
James, Martin A.
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Buskens, Erik
8c931b70-d453-4416-a78f-a281c3000b84
Luijckx, Gert-Jan
51af1e7b-bee6-459c-9ca6-852eab2df11a
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Van der Zee, Durk-Jouke
c9e5df5b-502c-4209-a10a-f42ca7b61a33
Lahr, Maarten M.H
bb414b65-2e56-48b4-922b-209e63d29a89
Pearn, Kerry
378600fc-7eaf-4667-a1f0-8bc6df773810
James, Martin A.
b77536bf-9471-436c-a95e-c921e4f90f5a
Buskens, Erik
8c931b70-d453-4416-a78f-a281c3000b84
Luijckx, Gert-Jan
51af1e7b-bee6-459c-9ca6-852eab2df11a

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).

Record type: Article

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

Identifiers

Local EPrints ID: 415203
URI: http://eprints.soton.ac.uk/id/eprint/415203
PURE UUID: 8c0e2ec0-ef88-43a7-adaa-0f533cebb5bd
ORCID for Thomas Monks: ORCID iD orcid.org/0000-0003-2631-4481

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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 ORCID iD
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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