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Utility function-based patient prioritisation in the emergency department

Author

Listed:
  • David Claudio
  • Gul E. Okudan

Abstract

With the increased awareness of productivity problems in healthcare operations, many researchers have proposed the implementation of tools and methods developed in other fields to benefit healthcare delivery. Accordingly, we present in this paper an exploratory work using a hypothetical example of a decision-making methodology, the multi-attribute utility analysis, to healthcare. The hypothetical sample problem presented involves patient prioritisation in an Emergency Department (ED), where several patients require immediate attention and they all have the same acuity level. Utility theory is selected for this application to appropriately account for the uncertainty in the decision problem. [Submitted 01 March 2008; Revised 05 September 2008; Revised 02 February 2009; Accepted 07 February 2009]

Suggested Citation

  • David Claudio & Gul E. Okudan, 2010. "Utility function-based patient prioritisation in the emergency department," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 4(1), pages 59-77.
  • Handle: RePEc:ids:eujine:v:4:y:2010:i:1:p:59-77
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    Cited by:

    1. O. H. Salman & A. A. Zaidan & B. B. Zaidan & Naserkalid & M. Hashim, 2017. "Novel Methodology for Triage and Prioritizing Using “Big Data” Patients with Chronic Heart Diseases Through Telemedicine Environmental," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(05), pages 1211-1245, September.
    2. Elalouf, Amir & Wachtel, Guy, 2016. "An alternative scheduling approach for improving emergency department performance," International Journal of Production Economics, Elsevier, vol. 178(C), pages 65-71.
    3. 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.

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