000002643 001__ 2643
000002643 005__ 20250521103000.0
000002643 0247_ $$2DOI$$a10.6083/M4862DSD
000002643 037__ $$aETD
000002643 245__ $$aFramework for characterizing data and identifying anomalies in health care databases
000002643 260__ $$bOregon Health Sciences University$$010909
000002643 269__ $$a1999
000002643 336__ $$aThesis
000002643 502__ $$bM.S.
000002643 520__ $$aAs health care databases are becoming important sources of health care data, the anomalies these data may contain are increasing concern. This paper addresses anomalies by proposing a framework that can be used to characterize data in health care databases through metadata.
000002643 542__ $$fIn copyright - single owner
000002643 650__ $$aMedical Informatics$$021938
000002643 650__ $$aHospital Information Systems$$020326
000002643 650__ $$aMedical Records Systems, Computerized$$029086
000002643 650__ $$aQuality Assurance, Health Care$$025029
000002643 691__ $$aSchool of Medicine$$041369
000002643 692__ $$aDivision of Medical Informatics and Outcomes Research$$041423
000002643 7001_ $$aSavage, Annette$$uOregon Health Sciences University$$041355
000002643 7201_ $$aEden, Karen$$uOregon Health Sciences University$$041355$$7Personal$$eAdvisor
000002643 7201_ $$aDubay, Christopher$$uOregon Health Sciences University$$041355$$7Personal$$eCommittee member
000002643 7201_ $$aGorman, Paul$$uOregon Health Sciences University$$041355$$7Personal$$eCommittee member
000002643 7201_ $$aHarrison, Warren$$uOregon Health Sciences University$$041355$$7Personal$$eCommittee member
000002643 8564_ $$9e0bd285a-2567-4ceb-8b70-224b144ad07c$$s5918107$$uhttps://digitalcollections.ohsu.edu/record/2643/files/3389_etd.pdf$$ePublic$$2cc09265925e67b5b23271a1ee8e585bd$$31
000002643 905__ $$a/rest/prod/1r/66/j1/33/1r66j133h
000002643 909CO $$ooai:digitalcollections.ohsu.edu:2643$$pstudent-work