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Data and optimisation requirements for Kidney Exchange Programs.
Smeulders, Bart; Pettersson, William; Viana, Ana; Andersson, Tommy; Bolotinha, Catarina; Chromy, Pavel; Gentile, Margherita; Hadaya, Karine; Hemke, Aline; Klimentova, Xenia; Kuypers, Dirk; Manlove, David; Robb, Matthew; Slavcev, Antonij; Tubertini, Paolo; Valentin, María O; van de Klundert, Joris; Ferrari, Paolo.
Affiliation
  • Smeulders B; Eindhoven University of Technology, The Netherlands.
  • Pettersson W; University of Glasgow, UK.
  • Viana A; INESC TEC, Portugal.
  • Andersson T; Polytechnic of Porto, Portugal.
  • Bolotinha C; Lund University, Sweden.
  • Chromy P; Instituto Portugues do Sangue e da Transplantacao, Portugal.
  • Gentile M; Independent Researcher.
  • Hadaya K; Italian National Institute of Health, Italy.
  • Hemke A; Geneva University Hospitals, Switzerland.
  • Klimentova X; Nederlandse Transplantatie Stichting (NTS), The Netherlands.
  • Kuypers D; INESC TEC, Portugal.
  • Manlove D; University Hospitals Leuven, Belgium.
  • Robb M; University of Glasgow, UK.
  • Slavcev A; NHS Blood and Transplant, UK.
  • Tubertini P; Institute for Clinical and Experimental Medicine, Czech Republic.
  • Valentin MO; Azienda USL di Bologna Process re-Engineering, Italy.
  • van de Klundert J; Organización Nacional de Trasplantes (ONT), Spain.
  • Ferrari P; Prince Mohammad Bin Salman School of Business and Entrepreneurship, Kingdom of Saudi Arabia.
Health Informatics J ; 27(2): 14604582211009918, 2021.
Article in En | MEDLINE | ID: mdl-33878984
ABSTRACT
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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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation Limits: Humans Language: En Journal: Health Informatics J Year: 2021 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Kidney Transplantation Limits: Humans Language: En Journal: Health Informatics J Year: 2021 Document type: Article Affiliation country: