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dc.contributor.authorAdam, Hammaad
dc.contributor.authorBermea, Rene
dc.contributor.authorYang, Ming Ying
dc.contributor.authorCeli, Leo Anthony
dc.contributor.authorGhassemi, Marzyeh
dc.date.accessioned2025-12-19T22:37:28Z
dc.date.available2025-12-19T22:37:28Z
dc.date.issued2025-06-23
dc.identifier.isbn979-8-4007-1482-5
dc.identifier.urihttps://hdl.handle.net/1721.1/164422
dc.descriptionFAccT ’25, Athens, Greeceen_US
dc.description.abstractThere are known racial disparities in the organ transplant allocation system in the United States. While recent research has focused on designing scores and matching algorithms for organ allocation, prior work has yet to study how transplant center physician decisions on offer acceptance—the final step in the allocation process—contribute to the observed disparities. In this paper, we use data from the Scientific Registry of Transplant Recipients to examine the role of candidate race in the acceptance of heart, liver, and lung transplant offers. We find that Black race was associated with significantly lower odds of offer acceptance for livers and lungs. Further, existing allocation scores such as MELD and LAS did not account for clinical factors that made Black patients harder to match. Our analysis also revealed that donor candidate race-match was associated with significantly higher odds of offer acceptance for hearts, livers, and lungs. Finally, we found that rejecting an offer was associated with lower survival times for all three organs. Our findings demonstrate the additional barriers that Black patients face in accessing organ transplants and the consequences of these barriers on patient survival. Overall, our work highlights the limitations of technical solutions to socio-technical problems; new allocation scores and other algorithmic updates will not improve equity if they do not explicitly account for gaps in the ensuing human decisions.en_US
dc.publisherACM|The 2025 ACM Conference on Fairness, Accountability, and Transparencyen_US
dc.relation.isversionofhttps://doi.org/10.1145/3715275.3732097en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivativesen_US
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourceAssociation for Computing Machineryen_US
dc.titleLost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptanceen_US
dc.typeArticleen_US
dc.identifier.citationHammaad Adam, Rene S. Bermea, Ming Ying Yang, Leo Anthony Celi, and Marzyeh Ghassemi. 2025. Lost in Transplantation: Characterizing Racial Gaps in Physician Organ Offer Acceptance. In Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency (FAccT '25). Association for Computing Machinery, New York, NY, USA, 1450–1467.en_US
dc.contributor.departmentInstitute for Medical Engineering and Scienceen_US
dc.identifier.mitlicensePUBLISHER_POLICY
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2025-08-01T08:34:35Z
dc.language.rfc3066en
dc.rights.holderThe author(s)
dspace.date.submission2025-08-01T08:34:35Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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