A New Simulation Model for Kidney Transplantation in the United States

Burhaneddin Sandikci, Sait Tunc, Bekir Tanriover

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The United Network for Organ Sharing (UNOS) has been using simulation models for over two decades to guide the evolution of organ allocation policies in the United States. UNOS kidney simulation model (KPSAM), which played a crucial role in the 2014 U.S. kidney allocation policy update, is also available to the general public as an executable file. However, this format offers little flexibility to its users in trying out different policy proposals. We describe the development of a discrete-event simulation model as an alternative to KPSAM. It is similar to KPSAM in incorporating many clinical and operational details. On the other hand, it offers more flexibility in evaluating various policy proposals and runs significantly faster than KPSAM due to its efficient use of modern computing technologies. Simulated results closely match actual U.S. kidney transplantation outcomes, building confidence in the accuracy and validity of the model.

Original languageEnglish
Title of host publication2019 Winter Simulation Conference, WSC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1079-1090
Number of pages12
ISBN (Electronic)9781728132839
DOIs
Publication statusPublished - Dec 2019
Externally publishedYes
Event2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States
Duration: 8 Dec 201911 Dec 2019

Publication series

NameProceedings - Winter Simulation Conference
Volume2019-December
ISSN (Print)0891-7736

Conference

Conference2019 Winter Simulation Conference, WSC 2019
Country/TerritoryUnited States
CityNational Harbor
Period8/12/1911/12/19

Bibliographical note

Publisher Copyright:
© 2019 IEEE.

Funding

Sandıkc¸ı acknowledges the financial support from the University of Chicago Booth School of Business and the Becker-Friedman Institute Health Economics Initiative at the University of Chicago. Tanrıöver is partly supported by the University of Texas Southwestern O’Brien Kidney Research Core Center grant NIH-P30DK079328. This research used resources from the University of Chicago Research Computing Center. This work was supported in part by Health Resources and Services Administration contract 234-2005-370011C. The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the U.S. Government.

FundersFunder number
University of Texas Southwestern O’Brien Kidney Research Core CenterNIH-P30DK079328
Health Resources and Services Administration234-2005-370011C
University of Chicago

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