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Combining Data Mining and Discrete Event Simulation for a value-added view of a hospital emergency department

Author

Listed:
  • R Ceglowski

    (Monash University)

  • L Churilov

    (Monash University)

  • J Wasserthiel

    (Monash University)

Abstract

While simulation models have furthered understanding of the operations of emergency departments (EDs) and the dynamics of the ED within the healthcare system, they only model patient treatment implicitly, tracing the paths patients follow through the ED. By identifying the core patient treatments provided by the ED and incorporating them into a Discrete Event Simulation model, this paper provides insight into the complex relationship between patient urgency, treatment and disposal, and the occurrence of queues for treatment. The essential characteristics of the presented model are used to indicate a generally applicable methodology for identifying bottlenecks in the interface between an ED and a hospital ward.

Suggested Citation

  • R Ceglowski & L Churilov & J Wasserthiel, 2007. "Combining Data Mining and Discrete Event Simulation for a value-added view of a hospital emergency department," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(2), pages 246-254, February.
    • Handle: RePEc:pal:jorsoc:v:58:y:2007:i:2:d:10.1057_palgrave.jors.2602270
    DOI: 10.1057/palgrave.jors.2602270
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    References listed on IDEAS

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    1. D C Lane & C Monefeldt & J V Rosenhead, 2000. "Looking in the wrong place for healthcare improvements: A system dynamics study of an accident and emergency department," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(5), pages 518-531, May.
    2. J B Jun & S H Jacobson & J R Swisher, 1999. "Application of discrete-event simulation in health care clinics: A survey," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(2), pages 109-123, February.
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    Citations

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    Cited by:

    1. Boyle, Laura M. & Marshall, Adele H. & Mackay, Mark, 2022. "A framework for developing generalisable discrete event simulation models of hospital emergency departments," European Journal of Operational Research, Elsevier, vol. 302(1), pages 337-347.
    2. Robert Saltzman & Theresa Roeder & Judith Lambton & Lila Param & Brian Frost & Roxanne Fernandes, 2017. "The Impact of a Discharge Holding Area on the Throughput of a Pediatric Unit," Service Science, INFORMS, vol. 9(2), pages 121-135, June.
    3. K J Glowacka & R M Henry & J H May, 2009. "A hybrid data mining/simulation approach for modelling outpatient no-shows in clinic scheduling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(8), pages 1056-1068, August.
    4. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    5. Amir Elalouf & Guy Wachtel, 2022. "Queueing Problems in Emergency Departments: A Review of Practical Approaches and Research Methodologies," SN Operations Research Forum, Springer, vol. 3(1), pages 1-46, March.
    6. Willoughby, Keith A. & Chan, Benjamin T.B. & Marques, Shauna, 2016. "Using simulation to test ideas for improving speech language pathology services," European Journal of Operational Research, Elsevier, vol. 252(2), pages 657-664.
    7. M. M. Malik & S. Abdallah & M. Ala’raj, 2018. "Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review," Annals of Operations Research, Springer, vol. 270(1), pages 287-312, November.
    8. Brailsford, Sally & Vissers, Jan, 2011. "OR in healthcare: A European perspective," European Journal of Operational Research, Elsevier, vol. 212(2), pages 223-234, July.
    9. H Pilgrim & P Tappenden & J Chilcott & M Bending & P Trueman & A Shorthouse & J Tappenden, 2009. "The costs and benefits of bowel cancer service developments using discrete event simulation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(10), pages 1305-1314, October.
    10. Gouveia, Catarina & Kalakou, Sofia & Cardoso-Grilo, Teresa, 2023. "How to forecast mental healthcare needs? Distinguishing between perceived and unperceived needs and their impact on capacity requirements," Socio-Economic Planning Sciences, Elsevier, vol. 87(PA).

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