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A BPMN extension to support discrete-event simulation for healthcare applications

A BPMN extension to support discrete-event simulation for healthcare applications
A BPMN extension to support discrete-event simulation for healthcare applications
Stakeholder engagement in simulation projects is important, especially in healthcare where there is a plurality of stakeholder opinions, objectives and power. One promising approach for increasing engagement is facilitated modelling. Currently, the complexity of producing a simulation model means that the ‘model coding’ stage is performed without the involvement of stakeholders, interrupting the possibility of a fully-facilitated project. Early work demonstrated that with currently-available software tools we can represent a simple healthcare process using Business Process Model and Notation (BPMN) and generate a simulation model automatically. However, for more complex processes, BPMN currently has a number of limitations, namely the ability to represent queues and data-driven decision points. To address these limitations, we propose a conceptual design for an extension to BPMN (BPMN4SIM) using Model Driven Architecture. Application to an elderly emergency care pathway in a UK hospital shows that BPMN4SIM is able to represent a more-complex business process.
discrete-event simulation, facilitated modelling, healthcare, BPMN, model-driven architecture
0160-5682
788-802
Onggo, Bhakti Satyabuhdi Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Proudlove, Nathan
342d341a-3c1b-4aba-af79-b313a914b21d
D'Ambrogio, Andrea
94e4cfa0-26e3-48c4-8efb-c33ba7da4176
Calabrese, Armando
e5c5e89d-d717-4036-90c7-087b05e370d6
Bisogno, Stefania
3560cb85-b31c-4b67-a853-486c14ddea62
Levialdi Ghiron, Nathan
815f0fa0-0acf-459e-9b1f-dbdf6c4f2e15
Onggo, Bhakti Satyabuhdi Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Proudlove, Nathan
342d341a-3c1b-4aba-af79-b313a914b21d
D'Ambrogio, Andrea
94e4cfa0-26e3-48c4-8efb-c33ba7da4176
Calabrese, Armando
e5c5e89d-d717-4036-90c7-087b05e370d6
Bisogno, Stefania
3560cb85-b31c-4b67-a853-486c14ddea62
Levialdi Ghiron, Nathan
815f0fa0-0acf-459e-9b1f-dbdf6c4f2e15

Onggo, Bhakti Satyabuhdi Stephan, Proudlove, Nathan, D'Ambrogio, Andrea, Calabrese, Armando, Bisogno, Stefania and Levialdi Ghiron, Nathan (2018) A BPMN extension to support discrete-event simulation for healthcare applications. Journal of the Operational Research Society, 69 (5), 788-802. (doi:10.1057/s41274-017-0267-7).

Record type: Article

Abstract

Stakeholder engagement in simulation projects is important, especially in healthcare where there is a plurality of stakeholder opinions, objectives and power. One promising approach for increasing engagement is facilitated modelling. Currently, the complexity of producing a simulation model means that the ‘model coding’ stage is performed without the involvement of stakeholders, interrupting the possibility of a fully-facilitated project. Early work demonstrated that with currently-available software tools we can represent a simple healthcare process using Business Process Model and Notation (BPMN) and generate a simulation model automatically. However, for more complex processes, BPMN currently has a number of limitations, namely the ability to represent queues and data-driven decision points. To address these limitations, we propose a conceptual design for an extension to BPMN (BPMN4SIM) using Model Driven Architecture. Application to an elderly emergency care pathway in a UK hospital shows that BPMN4SIM is able to represent a more-complex business process.

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More information

Accepted/In Press date: 2 June 2017
e-pub ahead of print date: 28 March 2018
Published date: May 2018
Keywords: discrete-event simulation, facilitated modelling, healthcare, BPMN, model-driven architecture

Identifiers

Local EPrints ID: 425084
URI: http://eprints.soton.ac.uk/id/eprint/425084
ISSN: 0160-5682
PURE UUID: 51e786d0-e4c7-4c11-a860-87091ec002cc
ORCID for Bhakti Satyabuhdi Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 10 Oct 2018 16:30
Last modified: 28 Apr 2022 02:26

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Contributors

Author: Nathan Proudlove
Author: Andrea D'Ambrogio
Author: Armando Calabrese
Author: Stefania Bisogno
Author: Nathan Levialdi Ghiron

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