16396847

Source:http://linkedlifedata.com/resource/pubmed/id/16396847

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Predicate	Object
rdf:type	pubmed:Citation
lifeskim:mentions	umls-concept:C0021709, umls-concept:C0030705, umls-concept:C0035647
pubmed:issue	1
pubmed:dateCreated	2006-1-6
pubmed:abstractText	To quantify the potential for misidentification among NICU patients resulting from similarities in patient names or hospital medical record numbers (MRNs).
pubmed:grant	http://linkedlifedata.com/resource/pubmed/grant/P20 HS 11583
pubmed:language	eng
pubmed:journal	http://linkedlifedata.com/resource/pubmed/journal/0376422
pubmed:citationSubset	AIM
pubmed:status	MEDLINE
pubmed:month	Jan
pubmed:issn	1098-4275
pubmed:author	pubmed-author:EdwardsWilliam HWH, pubmed-author:GoldmannDonald ADA, pubmed-author:GrayJames EJE, pubmed-author:HorbarJeffreyJ, pubmed-author:NickersonJulianneJ, pubmed-author:PlsekPaulP, pubmed-author:ShionoPat HPH, pubmed-author:SureshGauthamG, pubmed-author:UrsprungRobertR
pubmed:issnType	Electronic
pubmed:volume	117
pubmed:owner	NLM
pubmed:authorsComplete	Y
pubmed:pagination	e43-7
pubmed:dateRevised	2007-11-14
pubmed:meshHeading	pubmed-meshheading:16396847-Humans, pubmed-meshheading:16396847-Infant, Newborn, pubmed-meshheading:16396847-Intensive Care Units, Neonatal, pubmed-meshheading:16396847-Medical Errors, pubmed-meshheading:16396847-Medical Records Systems, Computerized, pubmed-meshheading:16396847-Milk, Human, pubmed-meshheading:16396847-Patient Identification Systems, pubmed-meshheading:16396847-Risk Assessment
pubmed:year	2006
pubmed:articleTitle	Patient misidentification in the neonatal intensive care unit: quantification of risk.
pubmed:affiliation	Center for Patient Safety in Neonatal Intensive Care, University of Vermont, Burlington, Vermont, USA. jgray@bidmc.harvard.edu
pubmed:publicationType	Journal Article, Research Support, U.S. Gov't, P.H.S.