@article {194,
	title = {A BPMN extension to support discrete-event simulation for healthcare applications: An explicit representation of queues, attributes and data-driven decision points},
	journal = {Journal of the Operational Research Society},
	volume = {69},
	year = {2018},
	pages = {788-802},
	doi = {10.1057/s41274-017-0267-7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021790477\&doi=10.1057\%2fs41274-017-0267-7\&partnerID=40\&md5=f0f30c77b3cccc771c50d7b8b6c878d4},
	author = {Onggo, B.S.S. and Proudlove, N.C. and D{\textquoteright}Ambrogio, A. and Calabrese, A. and Bisogno, S. and Levialdi Ghiron, N.}
}
@article {149,
	title = {A BPMN extension to support discrete-event simulation for healthcare applications: an explicit representation of queues, attributes and data-driven decision points},
	journal = {Journal of the Operational Research Society},
	year = {2017},
	pages = {1-15},
	abstract = {<p>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. {\textcopyright} 2017 The Operational Research Society</p>},
	keywords = {BPMN, Business process model and notation (BPMN), Computer aided software engineering, Computer software, Conceptual design, Data driven decision, Discrete event simulation, Explicit representation, Health care, Health care application, Model driven architectures, Simulation projects, Software architecture, Software design, Stakeholder engagement},
	issn = {01605682},
	doi = {10.1057/s41274-017-0267-7},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021790477\&doi=10.1057\%2fs41274-017-0267-7\&partnerID=40\&md5=f0f30c77b3cccc771c50d7b8b6c878d4},
	author = {Onggo, B.S.S. and Proudlove, N.C. and D{\textquoteright}Ambrogio, A. and Calabrese, A. and Bisogno, S. and Levialdi Ghiron, N.}
}
@conference {Antonacci2016124,
	title = {A BPMN-based automated approach for the analysis of healthcare processes},
	booktitle = {Proceedings - 25th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2016},
	year = {2016},
	note = {cited By 0},
	pages = {124-129},
	publisher = {Institute of Electrical and Electronics Engineers Inc.},
	organization = {Institute of Electrical and Electronics Engineers Inc.},
	abstract = {<p>Healthcare organizations are increasingly pushed to improve the quality of care service taking into account the increasing complexity in patient treatment and the continuous reduction of available resources. The adoption of Business Process Management (BPM) practices is thus becoming a key enabler for the improvement of healthcare processes (HPs). Accordingly, methods and tools are required to address behavioral and performance aspects from the early phases of the process lifecycle in order to improve the quality of healthcare, reduce costly reworks and increase the effectiveness of BPM approaches. This paper specifically addresses the specification and analysis phases of the process lifecycle and introduces a model-driven method for healthcare process simulation. The proposed method is based on a model transformation approach that takes as input the process specification in BPMN, appropriately extended to include the performance properties of the process, and yields as output the corresponding process simulation code, ready to be executed. In order to illustrate the method and its effectiveness, the paper describes an example application to a process dealing with the hip fracture for elderly patients. {\textcopyright} 2016 IEEE.</p>},
	keywords = {Administrative data processing, BPMN, Business process management, Enterprise resource management, Health care, Healthcare process, Life cycle, Model transformation, Patient treatment, Process simulations, Specifications},
	isbn = {9781509016631},
	doi = {10.1109/WETICE.2016.35},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84983805389\&partnerID=40\&md5=524846f6fc6c8c3f937421168f86515c},
	author = {Antonacci, G. and Calabrese, A. and Andrea D{\textquoteright}Ambrogio and Giglio, A. and Intrigila, B. and Ghiron, N.L.},
	editor = {Reddy S.M., Gaaloul W.}
}
