Statements in which the resource exists.
SubjectPredicateObjectContext
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pubmed-article:20638237pubmed:abstractTextWith the increasing use of electronic medical records (EMRs) comes the potential to efficiently evaluate and improve quality of care. We set out to determine if diabetics could be accurately identified using structured data contained within an EMR.lld:pubmed
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pubmed-article:20638237pubmed:authorpubmed-author:ManuelDougDlld:pubmed
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pubmed-article:20638237pubmed:authorpubmed-author:KavanaghDougDlld:pubmed
pubmed-article:20638237pubmed:copyrightInfoCopyright © 2011 Elsevier Inc. All rights reserved.lld:pubmed
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pubmed-article:20638237pubmed:volume64lld:pubmed
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pubmed-article:20638237pubmed:year2011lld:pubmed
pubmed-article:20638237pubmed:articleTitleDiabetics can be identified in an electronic medical record using laboratory tests and prescriptions.lld:pubmed
pubmed-article:20638237pubmed:affiliationInstitute for Clinical Evaluative Sciences, Toronto, Ontario M4N 3M5, Canada. karen.tu@ices.on.calld:pubmed
pubmed-article:20638237pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:20638237pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed
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