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The Extended David-Yechiali Rule for Kidney Allocation

Author

Listed:
  • Amir Elalouf

    (Department of Management, Bar Ilan University, Ramat Gan 52900, Israel)

  • Ariel Rosenfeld

    (Department of Information Science, Bar Ilan University, Ramat Gan 52900, Israel)

  • Ofir Rockach

    (Department of Management, Bar Ilan University, Ramat Gan 52900, Israel)

Abstract

The First Come First Served (FCFS) queuing policy is routinely assumed to be the benchmark policy for “fairness” in waiting-time performance. In this article, we propose a slight modification of the FCFS policy based on a natural extension of the well-established David and Yechiali (DY) rule and analyze it in the context of managing a waiting list for kidney transplants. In the proposed policy, the queuing agents are sequentially offered a stochastically arriving organ on a “first come, first served” basis while applying the individually optimal DY stopping rule. Through a realistic simulation, we show that the proposed policy, which we term Extended David and Yechiali (EDY), favorably compares to the FCFS policy in terms of medical efficiency while maintaining a comparable level of equity (i.e., fairness). Possible implications and practical aspects of the EDY are discussed.

Suggested Citation

  • Amir Elalouf & Ariel Rosenfeld & Ofir Rockach, 2023. "The Extended David-Yechiali Rule for Kidney Allocation," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:2:p:331-:d:1029131
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    References listed on IDEAS

    as
    1. Stefanos A. Zenios & Glenn M. Chertow & Lawrence M. Wein, 2000. "Dynamic Allocation of Kidneys to Candidates on the Transplant Waiting List," Operations Research, INFORMS, vol. 48(4), pages 549-569, August.
    2. Israel David & Uri Yechiali, 1985. "A Time-dependent Stopping Problem with Application to Live Organ Transplants," Operations Research, INFORMS, vol. 33(3), pages 491-504, June.
    3. Bendersky, Michael & David, Israel, 2016. "Deciding kidney-offer admissibility dependent on patients’ lifetime failure rate," European Journal of Operational Research, Elsevier, vol. 251(2), pages 686-693.
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