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A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points

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A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points. / Onggo, Bhakti Satyabuhdi Stephan; Proudlove, Nathan; D'Ambrogio, Andrea et al.
In: Journal of the Operational Research Society, Vol. 69, No. 5, 05.2018, p. 788-802.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Onggo, BSS, Proudlove, N, D'Ambrogio, A, Calabrese, A & Bisogno, S 2018, 'A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points', Journal of the Operational Research Society, vol. 69, no. 5, pp. 788-802. https://doi.org/10.1057/s41274-017-0267-7

APA

Onggo, B. S. S., Proudlove, N., D'Ambrogio, A., Calabrese, A., & Bisogno, S. (2018). A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points. Journal of the Operational Research Society, 69(5), 788-802. https://doi.org/10.1057/s41274-017-0267-7

Vancouver

Onggo BSS, Proudlove N, D'Ambrogio A, Calabrese A, Bisogno S. A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points. Journal of the Operational Research Society. 2018 May;69(5):788-802. Epub 2017 Jul 3. doi: 10.1057/s41274-017-0267-7

Author

Onggo, Bhakti Satyabuhdi Stephan ; Proudlove, Nathan ; D'Ambrogio, Andrea et al. / A BPMN extension to support discrete-event simulation for healthcare applications : an explicit representation of queues, attributes and data-driven decision points. In: Journal of the Operational Research Society. 2018 ; Vol. 69, No. 5. pp. 788-802.

Bibtex

@article{359ebfcaad8f4658a8f0d9e4085a052f,
title = "A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points",
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 {\textquoteleft}model coding{\textquoteright} 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.",
keywords = "discrete-event simulation , facilitated modelling, healthcare , BPMN , model-driven architecture ",
author = "Onggo, {Bhakti Satyabuhdi Stephan} and Nathan Proudlove and Andrea D'Ambrogio and Armando Calabrese and Stefania Bisogno",
note = "The final publication is available at Springer via http://dx.doi.org/10.1057/s41274-017-0267-7",
year = "2018",
month = may,
doi = "10.1057/s41274-017-0267-7",
language = "English",
volume = "69",
pages = "788--802",
journal = "Journal of the Operational Research Society",
issn = "0160-5682",
publisher = "Taylor and Francis Ltd.",
number = "5",

}

RIS

TY - JOUR

T1 - A BPMN extension to support discrete-event simulation for healthcare applications

T2 - an explicit representation of queues, attributes and data-driven decision points

AU - Onggo, Bhakti Satyabuhdi Stephan

AU - Proudlove, Nathan

AU - D'Ambrogio, Andrea

AU - Calabrese, Armando

AU - Bisogno, Stefania

N1 - The final publication is available at Springer via http://dx.doi.org/10.1057/s41274-017-0267-7

PY - 2018/5

Y1 - 2018/5

N2 - 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.

AB - 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.

KW - discrete-event simulation

KW - facilitated modelling

KW - healthcare

KW - BPMN

KW - model-driven architecture

U2 - 10.1057/s41274-017-0267-7

DO - 10.1057/s41274-017-0267-7

M3 - Journal article

VL - 69

SP - 788

EP - 802

JO - Journal of the Operational Research Society

JF - Journal of the Operational Research Society

SN - 0160-5682

IS - 5

ER -