Race and health care : problems with using race to classify, assess, and treat patients

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Race and health care : problems with using race to classify, assess, and treat patients

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dc.contributor.advisor Warner, David C.
dc.creator Nitibhon, Atalie
dc.date.accessioned 2010-11-18T21:25:32Z
dc.date.accessioned 2010-11-18T21:25:38Z
dc.date.available 2010-11-18T21:25:32Z
dc.date.available 2010-11-18T21:25:38Z
dc.date.created 2010-05
dc.date.issued 2010-11-18
dc.date.submitted May 2010
dc.identifier.uri http://hdl.handle.net/2152/ETD-UT-2010-05-1138
dc.description.abstract Though racial classifications may serve as a mechanism for identifying and correcting disparities among various groups, using such classifications in a clinical setting to detect and treat patient needs can be problematic. This report explores how medical professionals and researchers use race in health care for purposes of data collection, risk assessment, and diagnosis and treatment options. Using mixed race individuals as an example, it then discusses some of the problems associated with using race to group individuals, assess risk, and inform patient care. Finally, it discusses how certain components of personalized medicine, such as genetic testing, Electronic Health Records, and Rapid Learning Systems could help address some of the concerns that arise from the application of race in a health care setting.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subject Race
dc.subject Health care
dc.subject Personalized medicine
dc.title Race and health care : problems with using race to classify, assess, and treat patients
dc.date.updated 2010-11-18T21:25:38Z
dc.contributor.committeeMember Dorn, Edwin
dc.description.department LBJ School of Public Affairs
dc.type.genre thesis
dc.type.material text
thesis.degree.department LBJ School of Public Affairs
thesis.degree.discipline Public Affairs
thesis.degree.grantor University of Texas at Austin
thesis.degree.level Masters
thesis.degree.name Master of Public Affairs

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