Linked Life Data

20841776

Source:http://linkedlifedata.com/resource/pubmed/id/20841776

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2010-9-15
pubmed:abstractText
Building qualitative clinical decision support or monitoring based on information stored in clinical information (or EHR) systems cannot be done without assessing and controlling information quality. Numerous works have introduced methods and measures to qualify and enhance data, information models and terminologies quality. This paper introduces an approach based on an Information Quality Triangle that aims at providing a generic framework to help in characterizing quality measures and methods in the context of the integration of EHR data in a clinical datawarehouse. We have successfully experimented the proposed approach at the HEGP hospital in France, as part of the DebugIT EU FP7 project.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
160
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
699-703
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
The Information Quality Triangle: a methodology to assess clinical information quality.
pubmed:affiliation
INSERM, UMR_S 872, Université Pierre et Marie Curie, AP-HP, Hôpital George Pompidou, Département d'Informatique Hospitalière, Paris, F-75006 France. remy.choquet@spim.jussieu.fr
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't