|
rdf:type |
|
|
lifeskim:mentions |
|
|
pubmed:issue |
4
|
|
pubmed:dateCreated |
2011-2-21
|
|
pubmed:abstractText |
With 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.
|
|
pubmed:grant |
|
|
pubmed:language |
eng
|
|
pubmed:journal |
|
|
pubmed:citationSubset |
IM
|
|
pubmed:status |
MEDLINE
|
|
pubmed:month |
Apr
|
|
pubmed:issn |
1878-5921
|
|
pubmed:author |
|
|
pubmed:copyrightInfo |
Copyright © 2011 Elsevier Inc. All rights reserved.
|
|
pubmed:issnType |
Electronic
|
|
pubmed:volume |
64
|
|
pubmed:owner |
NLM
|
|
pubmed:authorsComplete |
Y
|
|
pubmed:pagination |
431-5
|
|
pubmed:meshHeading |
pubmed-meshheading:20638237-Adult,
pubmed-meshheading:20638237-Diabetes Mellitus,
pubmed-meshheading:20638237-Documentation,
pubmed-meshheading:20638237-Drug Prescriptions,
pubmed-meshheading:20638237-Electronic Health Records,
pubmed-meshheading:20638237-Female,
pubmed-meshheading:20638237-Humans,
pubmed-meshheading:20638237-Male,
pubmed-meshheading:20638237-Ontario,
pubmed-meshheading:20638237-Patient Care,
pubmed-meshheading:20638237-Quality of Health Care,
pubmed-meshheading:20638237-Sensitivity and Specificity
|
|
pubmed:year |
2011
|
|
pubmed:articleTitle |
Diabetics can be identified in an electronic medical record using laboratory tests and prescriptions.
|
|
pubmed:affiliation |
Institute for Clinical Evaluative Sciences, Toronto, Ontario M4N 3M5, Canada. karen.tu@ices.on.ca
|
|
pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|
