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 language | English |
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Title of host publication | 2019 Winter Simulation Conference, WSC 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1079-1090 |
Number of pages | 12 |
ISBN (Electronic) | 9781728132839 |
DOIs | |
Publication status | Published - Dec 2019 |
Externally published | Yes |
Event | 2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States Duration: 8 Dec 2019 → 11 Dec 2019 |
Publication series
Name | Proceedings - Winter Simulation Conference |
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Volume | 2019-December |
ISSN (Print) | 0891-7736 |
Conference
Conference | 2019 Winter Simulation Conference, WSC 2019 |
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Country/Territory | United States |
City | National Harbor |
Period | 8/12/19 → 11/12/19 |
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.
Funders | Funder number |
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University of Texas Southwestern O’Brien Kidney Research Core Center | NIH-P30DK079328 |
Health Resources and Services Administration | 234-2005-370011C |
University of Chicago |