Data and optimization requirements for Kidney Exchange Programs

Smeulders, B. et al. (2021) Data and optimization requirements for Kidney Exchange Programs. Health Informatics Journal, 27(2), pp. 1-15. (doi: 10.1177/14604582211009918) (PMID:33878984)

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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.

Item Type:Articles
Additional Information:This article is based upon work from the ENCKEP COST Action (CA15210), supported by COST (European Cooperation in Science and Technology). The authors acknowledge travel reimbursements by COST. Financial support from the School of Computing Science, University of Glasgow, for the article processing charges, is also gratefully acknowledged.
Glasgow Author(s) Enlighten ID:Manlove, Professor David and Pettersson, Dr William
Authors: Smeulders, B., Pettersson, W., Viana, A., Andersson, T., Bolotinha, C., Chromy, P., Gentile, M., Hadaya, K., Hemke, A., Klimentova, X., Kuypers, D., Manlove, D., Robb, M., Slavcev, A., Tubertini, P., Valentin, M. O., van de Klundert, J., and Ferrari, P.
College/School:College of Science and Engineering > School of Computing Science
Journal Name:Health Informatics Journal
Publisher:SAGE Publications
ISSN (Online):1741-2811
Published Online:20 April 2021
Copyright Holders:Copyright © 2021 The Authors
First Published:First published in Health Informatics Journal 27(2): 1-15
Publisher Policy:Reproduced under a Creative Commons License

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