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Using system dynamics principles for conceptual modelling of publicly funded hospitals

Author

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  • H J Wong

    (1] University of Toronto, Toronto, Canada[2] University Health Network, Toronto, Canada)

  • D Morra

    (1] University of Toronto, Toronto, Canada[2] University Health Network, Toronto, Canada)

  • R C Wu

    (1] University of Toronto, Toronto, Canada[2] University Health Network, Toronto, Canada)

  • M Caesar

    (University Health Network, Toronto, Canada)

  • H Abrams

    (1] University of Toronto, Toronto, Canada[2] University Health Network, Toronto, Canada)

Abstract

This paper examines the long-standing operational issue of patients boarding in the emergency department (ED), who have been admitted to hospital (inpatient ‘boarders’). From this analysis we design a conceptual model that provides a roadmap to create sustainable improvements in ED waiting times. The conceptual model is built using system dynamics methodology, and illustrates the use of system archetypes, a set of common causal feedback loops that illustrate how well-intended decisions have unintentional side effects. This paper outlines the journey taken by one large academic health centre to address these issues, and highlights the larger implications and recommendations that are applicable to other publicly funded hospitals.

Suggested Citation

  • H J Wong & D Morra & R C Wu & M Caesar & H Abrams, 2012. "Using system dynamics principles for conceptual modelling of publicly funded hospitals," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 63(1), pages 79-88, January.
  • Handle: RePEc:pal:jorsoc:v:63:y:2012:i:1:p:79-88
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    Citations

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    Cited by:

    1. Negar Darabi & Niyousha Hosseinichimeh, 2020. "System dynamics modeling in health and medicine: a systematic literature review," System Dynamics Review, System Dynamics Society, vol. 36(1), pages 29-73, January.
    2. Chih‐Tung Hsiao & Chun‐Cheng Chen & Lee‐Kai Lin & Chung‐Shu Liu, 2023. "A systems view of responding to the COVID‐19 pandemic: A causal loop model for Taiwan's approach," Systems Research and Behavioral Science, Wiley Blackwell, vol. 40(1), pages 194-206, January.
    3. Jiuping Xu & Jiuzhou Dai & Renqiao Rao & Huaidong Xie & Yi Lu, 2016. "Critical Systems Thinking on the Inefficiency in Post-Earthquake Relief: A Practice in Longmen Shan Fault Area," Systemic Practice and Action Research, Springer, vol. 29(5), pages 425-448, October.

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