Kidney exchange simulation and optimization View Full Text


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Article Info

DATE

2017-12

AUTHORS

Nicolau Santos, Paolo Tubertini, Ana Viana, João Pedro Pedroso

ABSTRACT

One of the challenges in a kidney exchange program (KEP) is to choose policies that ensure an effective and fair management of all participating patients. In order to understand the implications of different policies of patient allocation and pool management, decision makers should be supported by a simulation tool capable of tackling realistic exchange pools and modeling their dynamic behavior. In this paper, we propose a KEP simulator that takes into consideration the wide typology of actors found in practice (incompatible pairs, altruistic donors, and compatible pairs) and handles different matching policies. Additionally, it includes the possibility of evaluating the impact of positive crossmatch of a selected transplant, and of dropouts, in a dynamic environment. Results are compared to those obtained with a complete information model, with knowledge of future events, which provides an upper bound to the objective values. Final results show that shorter time intervals between matches lead to higher number of effective transplants and to shorter waiting times for patients. Furthermore, the inclusion of compatible pairs is essential to match pairs of specific patient–donor blood type. In particular, O-blood type patients benefit greatly from this inclusion. More... »

PAGES

1521-1532

References to SciGraph publications

  • 2012. Paired and Altruistic Kidney Donation in the UK: Algorithms and Experimentation in EXPERIMENTAL ALGORITHMS
  • 2011-06-21. Dynamic Simulations of Kidney Exchanges in OPERATIONS RESEARCH PROCEEDINGS 2010
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    http://scigraph.springernature.com/pub.10.1057/s41274-016-0174-3

    DOI

    http://dx.doi.org/10.1057/s41274-016-0174-3

    DIMENSIONS

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