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A New Simulation Model for Kidney Transplantation in the United States

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde BölümKonferans katkısıbilirkişi

9 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Ana bilgisayar yayını başlığı2019 Winter Simulation Conference, WSC 2019
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
Sayfalar1079-1090
Sayfa sayısı12
ISBN (Elektronik)9781728132839
DOI'lar
Yayın durumuYayınlandı - Ara 2019
Harici olarak yayınlandıEvet
Etkinlik2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States
Süre: 8 Ara 201911 Ara 2019

Yayın serisi

AdıProceedings - Winter Simulation Conference
Hacim2019-December
ISSN (Basılı)0891-7736

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???event.eventtypes.event.conference???2019 Winter Simulation Conference, WSC 2019
Ülke/BölgeUnited States
ŞehirNational Harbor
Periyot8/12/1911/12/19

Bibliyografik not

Publisher Copyright:
© 2019 IEEE.

Finansman

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.

FinansörlerFinansör numarası
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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