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 dil | İngilizce |
|---|---|
| Ana bilgisayar yayını başlığı | 2019 Winter Simulation Conference, WSC 2019 |
| Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
| Sayfalar | 1079-1090 |
| Sayfa sayısı | 12 |
| ISBN (Elektronik) | 9781728132839 |
| DOI'lar | |
| Yayın durumu | Yayınlandı - Ara 2019 |
| Harici olarak yayınlandı | Evet |
| Etkinlik | 2019 Winter Simulation Conference, WSC 2019 - National Harbor, United States Süre: 8 Ara 2019 → 11 Ara 2019 |
Yayın serisi
| Adı | Proceedings - Winter Simulation Conference |
|---|---|
| Hacim | 2019-December |
| ISSN (Basılı) | 0891-7736 |
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| ???event.eventtypes.event.conference??? | 2019 Winter Simulation Conference, WSC 2019 |
|---|---|
| Ülke/Bölge | United States |
| Şehir | National Harbor |
| Periyot | 8/12/19 → 11/12/19 |
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.
| Finansörler | Finansör numarası |
|---|---|
| University of Texas Southwestern O’Brien Kidney Research Core Center | NIH-P30DK079328 |
| Health Resources and Services Administration | 234-2005-370011C |
| University of Chicago |
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