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Differentiated waiting time management according to patient class in an emergency care center using an open Jackson network integrated with pooling and prioritizing

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  • Sumi Kim
  • Seongmoon Kim

Abstract

Unlike ordinary outpatient clinics, an emergency care center sees a variety of patients with diverse diseases and injuries of different levels of severity. Since patients who are in a critical condition face serious consequences, target waiting times must be determined based on patient acuity levels. To reflect the special situation in emergency care centers included in this study, patient flows are formulated using an open Jackson network with multiple patient classes. This paper is unique because of the integration of pooling and prioritizing patient classes with the open Jackson network. In particular, a hybrid priority model is presented in which a first-come-first-served discipline is applied in some processes and a priority discipline is applied in other processes in the open Jackson network, in order to minimize waiting times for patients with more urgent concerns. A case study based on actual data from an emergency care center demonstrates that the proposed model of pooling and prioritizing patient classes is effective in decreasing waiting times for higher-priority classes without substantially sacrificing those for lower-priority classes. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • Sumi Kim & Seongmoon Kim, 2015. "Differentiated waiting time management according to patient class in an emergency care center using an open Jackson network integrated with pooling and prioritizing," Annals of Operations Research, Springer, vol. 230(1), pages 35-55, July.
  • Handle: RePEc:spr:annopr:v:230:y:2015:i:1:p:35-55:10.1007/s10479-013-1477-2
    DOI: 10.1007/s10479-013-1477-2
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    References listed on IDEAS

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    1. James R. Jackson, 1957. "Networks of Waiting Lines," Operations Research, INFORMS, vol. 5(4), pages 518-521, August.
    2. Papadopoulos, H. T. & Heavey, C., 1996. "Queueing theory in manufacturing systems analysis and design: A classification of models for production and transfer lines," European Journal of Operational Research, Elsevier, vol. 92(1), pages 1-27, July.
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    5. Brant E. Fries, 1976. "Bibliography of Operations Research in Health-Care Systems," Operations Research, INFORMS, vol. 24(5), pages 801-814, October.
    6. Lixiang Jiang & Ronald Giachetti, 2008. "A queueing network model to analyze the impact of parallelization of care on patient cycle time," Health Care Management Science, Springer, vol. 11(3), pages 248-261, September.
    7. Richard Charles Larson, 2002. "Public Sector Operations Research: A Personal Journey," Operations Research, INFORMS, vol. 50(1), pages 135-145, February.
    8. James R. Jackson, 1963. "Jobshop-Like Queueing Systems," Management Science, INFORMS, vol. 10(1), pages 131-142, October.
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    Cited by:

    1. Trigos, Federico & Vazquez, Alan R. & Cárdenas-Barrón, Leopoldo Eduardo, 2019. "A simulation-based heuristic that promotes business profit while increasing the perceived quality of service industries," International Journal of Production Economics, Elsevier, vol. 211(C), pages 60-70.
    2. Hosang Jung & Chi-Guhn Lee & Chelsea White, 2015. "Socially responsible service operations management: an overview," Annals of Operations Research, Springer, vol. 230(1), pages 1-16, July.

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