The University of Southampton
University of Southampton Institutional Repository

Simulation of stroke care systems

Simulation of stroke care systems
Simulation of stroke care systems
Stroke is major cause of disability internationally, the leading cause of disability in England, and the third most common cause of death worldwide. The good news is that there is growing evidence that simulation modeling can play an important role in understanding and designing improvements in acute stroke systems in order to reduce this disability burden. This paper presents an overview of simulation methodology to tackle logistical and capacity planning problems in stroke. Four contributions are made to accelerate studies in this area. First, a grounding in the basic processes and operational issues that occur in stroke pathways is given. Second, modeling approaches for single and multiple hospitals in emergency and rehabilitation settings are described along with guidance on selection of performance measures. Third, common data issues are highlighted. Last, a range of model simplifications are presented to mitigate potential data and complexity issues that are inherent to stroke systems.
1391-1402
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Allen, Michael
a177adf5-62e3-4e62-b154-d9bf4d0cae5a
Pearn, Kerry
378600fc-7eaf-4667-a1f0-8bc6df773810
Monks, Thomas
fece343c-106d-461d-a1dd-71c1772627ca
Allen, Michael
a177adf5-62e3-4e62-b154-d9bf4d0cae5a
Pearn, Kerry
378600fc-7eaf-4667-a1f0-8bc6df773810

Monks, Thomas, Allen, Michael and Pearn, Kerry (2015) Simulation of stroke care systems. 2015 Winter Simulation Conference (WSC), Huntington Beach, United States. 06 - 09 Dec 2015. pp. 1391-1402 . (doi:10.1109/WSC.2015.7408262).

Record type: Conference or Workshop Item (Paper)

Abstract

Stroke is major cause of disability internationally, the leading cause of disability in England, and the third most common cause of death worldwide. The good news is that there is growing evidence that simulation modeling can play an important role in understanding and designing improvements in acute stroke systems in order to reduce this disability burden. This paper presents an overview of simulation methodology to tackle logistical and capacity planning problems in stroke. Four contributions are made to accelerate studies in this area. First, a grounding in the basic processes and operational issues that occur in stroke pathways is given. Second, modeling approaches for single and multiple hospitals in emergency and rehabilitation settings are described along with guidance on selection of performance measures. Third, common data issues are highlighted. Last, a range of model simplifications are presented to mitigate potential data and complexity issues that are inherent to stroke systems.

Text
p1391-monks.pdf - Version of Record
Restricted to Repository staff only
Request a copy

More information

e-pub ahead of print date: December 2015
Venue - Dates: 2015 Winter Simulation Conference (WSC), Huntington Beach, United States, 2015-12-06 - 2015-12-09
Organisations: Faculty of Health Sciences

Identifiers

Local EPrints ID: 391246
URI: http://eprints.soton.ac.uk/id/eprint/391246
PURE UUID: a71be78e-3395-48b9-99e2-b65cc3f13ced
ORCID for Thomas Monks: ORCID iD orcid.org/0000-0003-2631-4481

Catalogue record

Date deposited: 11 Apr 2016 09:18
Last modified: 14 Mar 2024 23:27

Export record

Altmetrics

Contributors

Author: Thomas Monks ORCID iD
Author: Michael Allen
Author: Kerry Pearn

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×