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Improving the performance of surgery-based clinical pathways: a simulation-optimization approach

Author

Listed:
  • Yasar A. Ozcan

    (Virginia Commonwealth University)

  • Elena Tànfani

    (University of Genova)

  • Angela Testi

    (University of Genova)

Abstract

This paper aims to improve the performance of clinical processes using clinical pathways (CPs). The specific goal of this research is to develop a decision support tool, based on a simulation-optimization approach, which identify the proper adjustment and alignment of resources to achieve better performance for both the patients and the health-care facility. When multiple perspectives are present in a decision problem, critical issues arise and often require the balancing of goals. In our approach, meeting patients’ clinical needs in a timely manner, and to avoid worsening of clinical conditions, we assess the level of appropriate resources. The simulation-optimization model seeks and evaluates alternative resource configurations aimed at balancing the two main objectives—meeting patient needs and optimal utilization of beds and operating rooms. Using primary data collected at a Department of Surgery of a public hospital located in Genoa, Italy. The simulation-optimization modelling approach in this study has been applied to evaluate the thyroid surgical treatment together with the other surgery-based CPs. The low rate of bed utilization and the long elective waiting lists of the specialty under study indicates that the wards were oversized while the operating room capacity was the bottleneck of the system. The model enables hospital managers determine which objective has to be given priority, as well as the corresponding opportunity costs.

Suggested Citation

  • Yasar A. Ozcan & Elena Tànfani & Angela Testi, 2017. "Improving the performance of surgery-based clinical pathways: a simulation-optimization approach," Health Care Management Science, Springer, vol. 20(1), pages 1-15, March.
  • Handle: RePEc:kap:hcarem:v:20:y:2017:i:1:d:10.1007_s10729-016-9371-5
    DOI: 10.1007/s10729-016-9371-5
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    References listed on IDEAS

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    Cited by:

    1. Sean Harris & David Claudio, 2022. "Current Trends in Operating Room Scheduling 2015 to 2020: a Literature Review," SN Operations Research Forum, Springer, vol. 3(1), pages 1-42, March.
    2. Farouq Halawa & Sreenath Chalil Madathil & Alice Gittler & Mohammad T. Khasawneh, 2020. "Advancing evidence-based healthcare facility design: a systematic literature review," Health Care Management Science, Springer, vol. 23(3), pages 453-480, September.

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