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

Author

Listed:
  • K Kotiadis

    (University of Warwick, Coventry, UK)

  • A A Tako

    (Loughborough University, Leicestershire, UK)

  • C Vasilakis

    (University College London, London, UK)

Abstract

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.

Suggested Citation

  • K Kotiadis & A A Tako & C Vasilakis, 2014. "A participative and facilitative conceptual modelling framework for discrete event simulation studies in healthcare," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(2), pages 197-213, February.
    • Handle: RePEc:pal:jorsoc:v:65:y:2014:i:2:p:197-213
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    Citations

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    Cited by:

    1. Robinson, Stewart & Kotiadis, Kathy, 2016. "Can involving clients in simulation studies help them solve their future problems? A transfer of learning experimentAuthor-Name: Monks, Thomas," European Journal of Operational Research, Elsevier, vol. 249(3), pages 919-930.
    2. Pessôa, Leonardo Antonio Monteiro & Lins, Marcos Pereira Estellita & da Silva, Angela Cristina Moreira & Fiszman, Roberto, 2015. "Integrating soft and hard operational research to improve surgical centre management at a university hospital," European Journal of Operational Research, Elsevier, vol. 245(3), pages 851-861.
    3. Baril, Chantal & Gascon, Viviane & Miller, Jonathan & Côté, Nadine, 2016. "Use of a discrete-event simulation in a Kaizen event: A case study in healthcare," European Journal of Operational Research, Elsevier, vol. 249(1), pages 327-339.
    4. Guillaume Lamé & Oualid Jouini & Julie Stal-Le Cardinal, 2020. "Combining Soft Systems Methodology, Ethnographic Observation and Discrete-Event Simulation: A Case Study in Cancer Care," Post-Print hal-02095031, HAL.
    5. Alireza Moumivand & Adel Azar & Abbas Toloie Eshlaghy, 2022. "Combined soft system methodology and agent‐based simulation for multi‐methodological modelling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(2), pages 200-217, March.
    6. Tako, Antuela A. & Kotiadis, Kathy, 2015. "PartiSim: A multi-methodology framework to support facilitated simulation modelling in healthcare," European Journal of Operational Research, Elsevier, vol. 244(2), pages 555-564.
    7. Jesús Isaac Vázquez-Serrano & Rodrigo E. Peimbert-García & Leopoldo Eduardo Cárdenas-Barrón, 2021. "Discrete-Event Simulation Modeling in Healthcare: A Comprehensive Review," IJERPH, MDPI, vol. 18(22), pages 1-20, November.
    8. Alexandre de A. Gomes Júnior & Vanessa B. Schramm, 2022. "Problem Structuring Methods: A Review of Advances Over the Last Decade," Systemic Practice and Action Research, Springer, vol. 35(1), pages 55-88, February.
    9. Kotiadis, K. & Tako, A.A., 2018. "Facilitated post-model coding in discrete event simulation (DES): A case study in healthcare," European Journal of Operational Research, Elsevier, vol. 266(3), pages 1120-1133.
    10. Martin Comis & Catherine Cleophas & Christina Büsing, 2021. "Patients, primary care, and policy: Agent-based simulation modeling for health care decision support," Health Care Management Science, Springer, vol. 24(4), pages 799-826, December.
    11. Harper, Alison & Mustafee, Navonil & Yearworth, Mike, 2021. "Facets of trust in simulation studies," European Journal of Operational Research, Elsevier, vol. 289(1), pages 197-213.
    12. Zichong Lyu & Dirk Pons & Yilei Zhang & Zuzhen Ji, 2022. "Minimum Viable Model (MVM) Methodology for Integration of Agile Methods into Operational Simulation of Logistics," Logistics, MDPI, vol. 6(2), pages 1-28, June.
    13. Proudlove, N.C. & Bisogno, S. & Onggo, B.S.S. & Calabrese, A. & Levialdi Ghiron, N., 2017. "Towards fully-facilitated discrete event simulation modelling: Addressing the model coding stage," European Journal of Operational Research, Elsevier, vol. 263(2), pages 583-595.

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