Publication

A framework to accelerate simulation studies of hyperacute stroke systems

Monks, T., van der Zee, D. J., Lahr, M., Allen, M., Pearn, K., James, M. A., Buskens, E. & Luijckx, G. J., Dec-2017, In : Operations Research for Health Care. 15, p. 57-67 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

APA

Monks, T., van der Zee, D. J., Lahr, M., Allen, M., Pearn, K., James, M. A., ... Luijckx, G. J. (2017). A framework to accelerate simulation studies of hyperacute stroke systems. Operations Research for Health Care, 15, 57-67. https://doi.org/10.1016/j.orhc.2017.09.002

Author

Monks, Thomas ; van der Zee, D.J. ; Lahr, Maarten ; Allen, Michael ; Pearn, Kerry ; James, Martin A. ; Buskens, Erik ; Luijckx, Gert Jan. / A framework to accelerate simulation studies of hyperacute stroke systems. In: Operations Research for Health Care. 2017 ; Vol. 15. pp. 57-67.

Harvard

Monks, T, van der Zee, DJ, Lahr, M, Allen, M, Pearn, K, James, MA, Buskens, E & Luijckx, GJ 2017, 'A framework to accelerate simulation studies of hyperacute stroke systems', Operations Research for Health Care, vol. 15, pp. 57-67. https://doi.org/10.1016/j.orhc.2017.09.002

Standard

A framework to accelerate simulation studies of hyperacute stroke systems. / Monks, Thomas; van der Zee, D.J.; Lahr, Maarten; Allen, Michael; Pearn, Kerry; James, Martin A.; Buskens, Erik; Luijckx, Gert Jan.

In: Operations Research for Health Care, Vol. 15, 12.2017, p. 57-67.

Research output: Contribution to journalArticleAcademicpeer-review

Vancouver

Monks T, van der Zee DJ, Lahr M, Allen M, Pearn K, James MA et al. A framework to accelerate simulation studies of hyperacute stroke systems. Operations Research for Health Care. 2017 Dec;15:57-67. https://doi.org/10.1016/j.orhc.2017.09.002


BibTeX

@article{5d6098c42c09474688802e7a8cbc0516,
title = "A framework to accelerate simulation studies of hyperacute stroke systems",
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.",
keywords = "Reuse, Stroke, Modelling framework, Simulation, ACUTE ISCHEMIC-STROKE, CONCEPTUAL MODELING FRAMEWORK, TISSUE-PLASMINOGEN ACTIVATOR, DISCRETE-EVENT SIMULATION, POPULATION BENEFIT, CARE SYSTEMS, THROMBOLYSIS, TIME, THROMBECTOMY, DELAYS",
author = "Thomas Monks and {van der Zee}, D.J. and Maarten Lahr and Michael Allen and Kerry Pearn and James, {Martin A.} and Erik Buskens and Luijckx, {Gert Jan}",
year = "2017",
month = "12",
doi = "10.1016/j.orhc.2017.09.002",
language = "English",
volume = "15",
pages = "57--67",
journal = "Operations Research for Health Care",
issn = "2211-6923",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - A framework to accelerate simulation studies of hyperacute stroke systems

AU - Monks, Thomas

AU - van der Zee, D.J.

AU - Lahr, Maarten

AU - Allen, Michael

AU - Pearn, Kerry

AU - James, Martin A.

AU - Buskens, Erik

AU - Luijckx, Gert Jan

PY - 2017/12

Y1 - 2017/12

N2 - 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.

AB - 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.

KW - Reuse

KW - Stroke

KW - Modelling framework

KW - Simulation

KW - ACUTE ISCHEMIC-STROKE

KW - CONCEPTUAL MODELING FRAMEWORK

KW - TISSUE-PLASMINOGEN ACTIVATOR

KW - DISCRETE-EVENT SIMULATION

KW - POPULATION BENEFIT

KW - CARE SYSTEMS

KW - THROMBOLYSIS

KW - TIME

KW - THROMBECTOMY

KW - DELAYS

U2 - 10.1016/j.orhc.2017.09.002

DO - 10.1016/j.orhc.2017.09.002

M3 - Article

VL - 15

SP - 57

EP - 67

JO - Operations Research for Health Care

JF - Operations Research for Health Care

SN - 2211-6923

ER -

ID: 48347318