Modelling and optimisation in European Kidney Exchange Programmes

Bíró, Péter; Klundert, Joris van de; Manlove, David F.; Pettersson, William; Andersson, Tommy; Burnapp, Lisa; Chromý, Pavel; Delgado, Pablo; Dworczak, Piotr; Haase, Bernadette; Hemke, Aline C.; Rj, Johnson; Klimentova, Xenia; Kuypers, Dirk; Costa, Alessandro Nanni; Smeulders, Bart; Spieksma, Frits; Valentín, María O.; Viana, Ana

doi:10.1016/j.ejor.2019.09.006

Cited by 66 publications

(62 citation statements)

References 21 publications

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“…Some Differences Across Platforms Although, in general, the logistics are similar, it is worth pointing out some differences. See also Biró et al (2019c) for a detailed description of logistics of KE programs in European countries.…”

Section: Common Operations In Kidneymentioning

confidence: 99%

“…One way in which pools of patient-donor pairs available for kidney exchange can be merged is via international exchanges, across borders. Recent examples include a Czech-Austrian exchange (Böhmig et al 2017), a chain between Israel and Czech Republic, 69 the newly formed kidney exchange network of Scandiatransplant, which creates a single pool of patient-donor pairs across the Nordic countries, and efforts to merge pools among kidney exchange networks elsewhere in Europe (Biró et al 2019c).…”

Section: How and Whether To Mergementioning

confidence: 99%

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Kidney Exchange: An Operations Perspective

Ashlagi

Roth

2021

Management Science

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Many patients in need of a kidney transplant have a willing but incompatible (or poorly matched) living donor. Kidney exchange programs arrange exchanges among such patient-donor pairs, in cycles and chains of exchange, so that each patient receives a compatible kidney. Kidney exchange has become a standard form of transplantation in the United States and a few other countries, in large part because of continued attention to the operational details that arose as obstacles were overcome and new obstacles became relevant. We review some of the key operational issues in the design of successful kidney exchange programs. Kidney exchange has yet to reach its full potential, and the paper further describes some open questions that we hope will continue to attract attention from researchers interested in the operational aspects of dynamic exchange. This paper was accepted by David Simchi Levi, Special Section of Management Science: 65th Anniversary.

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Section: Common Operations In Kidneymentioning

confidence: 99%

Section: How and Whether To Mergementioning

confidence: 99%

Kidney Exchange: An Operations Perspective

Ashlagi

Roth

2021

Management Science

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“…In each case, the problem is formulated, and a solution is found. 25,26 Modelling first takes data from the database and calculates compatibility information. Often this result is presented in the form of a compatibility graph: a graph where each vertex represents a recipient and their donor(s), and weighted edges indicate compatibility between a donor and a recipient.…”

Section: Modelling and Solvingmentioning

confidence: 99%

“…Each donor and recipient can be represented by an anonymous identifier, with only a minimum set of required data associated with each of them. 25 Once a matching run has been modelled, it needs to be solved. This is the process by which an optimal solution, comprising a set of exchanges, is determined.…”

Section: Modelling and Solvingmentioning

confidence: 99%

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Data and optimisation requirements for Kidney Exchange Programs

Smeulders

Pettersson

Viana

et al. 2021

Health Informatics J

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Kidney Exchange Programs (KEP) are valuable tools to increase the options of living donor kidney transplantation for patients with end-stage kidney disease with an immunologically incompatible live donor. Maximising the benefits of a KEP requires an information system to manage data and to optimise transplants. The data input specifications of the systems that relate to key information on blood group and Human Leukocyte Antigen (HLA) types and HLA antibodies are crucial in order to maximise the number of identified matched pairs while minimising the risk of match failures due to unanticipated positive crossmatches. Based on a survey of eight national and one transnational kidney exchange program, we discuss data requirements for running a KEP. We note large variations in the data recorded by different KEPs, reflecting varying medical practices. Furthermore, we describe how the information system supports decision making throughout these kidney exchange programs.

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