A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare

Article OPEN
K Kotiadis ; A A Tako ; C Vasilakis (2014)

Existing approaches to conceptual modelling (CM) in discrete-event simulation do not formally support the participation of a group of stakeholders. Simulation in healthcare can benefit from stakeholder participation as it makes possible to share multiple views and tacit knowledge from different parts of the system. We put forward a framework tailored to healthcare that supports the interaction of simulation modellers with a group of stakeholders to arrive at a common conceptual model. The framework incorporates two facilitated workshops. It consists of a package including: three key stages and sub-stages; activities and guidance; tools and prescribed outputs. The CM framework is tested in a real case study of an obesity system. The benefits of using this framework in healthcare studies and more widely in simulation are discussed. The paper also considers how the framework meets the CM requirements.
  • References (14)
    14 references, page 1 of 2

    Ackoff R, (1979). Resurrecting the future of operational research. The Journal of the Operational Research Society. 30(3). 189-199.

    Andersen DF, Richardson GP and Vennix JAM, (1997). Group model building: adding more science to the craft. System Dynamics Review 13(2): 187-201.

    Balci, O. (2010) Golden Rules of Verification, Validation, Testing, and Certification of Modeling and Simulation Applications.” SCS M&S Magazine, Oct. 2010 Issue 4. Vista, CA: The Society for Modeling and Simulation International (SCS).

    Balci O (2011) How to successfully conduct large-scale modeling and simulation Projects. In Proceedings of the 2011 Winter Simulation Conference, S. Jain, R.R. Creasey, J. Himmelspach, K.P. White, and M. Fu, eds. December 2011. Phoenix. AZ Balci O, Arthur JD and Nance RE (2008) Accomplishing reuse with a simulation conceptual model. In Proceedings of the 2008 Winter Simulation Conference. S. J. Mason, R. R. Hill, L. Mönch, O. Rose, T.

    Balci O and Nance RE (1985). Formulated problem verification as an explicit requirement of model credibility. Simulation. 45(2). 753-763.

    Balci O and Ormsby W F (2007), Conceptual Modeling for Designing Large-Scale Simulations, Journal of Simulation 1(3) 175-186.

    Banks J, Carson J, Nelson BL and Nicol D (2005) Discrete-Event System Simulation, Prentice-Hall, (4E) Blackett PM S (1950). Operational Research. Operational Research Quarterly (1950-1952) 1(1): 3-6.

    Lowery JC (1994). Barriers to implementing simulation in health care. In Proceedings of the 1994 Winter Simulation Conference, Tew J.D, Mannivannan S, Sadowski D.A. and Seila A.F. (eds) December 11-14.

    1994. Lake Buena Vista, FL, USA. ACM. 868-875.

    Mingers J and Rosenhead J (2004). Problem structuring methods in action. European Journal of Operational Research. 152 (3). 530-555.

  • Metrics
    views in OpenAIRE
    views in local repository
    downloads in local repository

    The information is available from the following content providers:

    From Number Of Views Number Of Downloads
    Kent Academic Repository - IRUS-UK 0 30
Share - Bookmark