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dc.contributor.advisorWarner, David C.en
dc.creatorNitibhon, Atalieen
dc.date.accessioned2010-11-18T21:25:32Zen
dc.date.accessioned2010-11-18T21:25:38Zen
dc.date.available2010-11-18T21:25:32Zen
dc.date.available2010-11-18T21:25:38Zen
dc.date.created2010-05en
dc.date.issued2010-11-18en
dc.date.submittedMay 2010en
dc.identifier.urihttp://hdl.handle.net/2152/ETD-UT-2010-05-1138en
dc.descriptiontexten
dc.description.abstractThough 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.en
dc.format.mimetypeapplication/pdfen
dc.language.isoengen
dc.subjectRaceen
dc.subjectHealth careen
dc.subjectPersonalized medicineen
dc.titleRace and health care : problems with using race to classify, assess, and treat patientsen
dc.date.updated2010-11-18T21:25:38Zen
dc.contributor.committeeMemberDorn, Edwinen
dc.description.departmentLBJ School of Public Affairsen
dc.type.genrethesisen
thesis.degree.departmentLBJ School of Public Affairsen
thesis.degree.disciplinePublic Affairsen
thesis.degree.grantorUniversity of Texas at Austinen
thesis.degree.levelMastersen
thesis.degree.nameMaster of Public Affairsen


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