Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 1
pubmed:dateCreated
2007-10-3
pubmed:abstractText
Semantic interoperability in healthcare can be achieved by a tighter coupling of terminology and HL7 message models. In this paper, we highlight the difficulty of achieving this goal, but show how it can become attainable by basing HL7 message models on SNOMED CT concepts and relationships. We then demonstrate how this methodology has been applied to a set of clinical observations for use in the ePOC project, and discuss our findings.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
T
pubmed:status
MEDLINE
pubmed:issn
0926-9630
pubmed:author
pubmed:issnType
Print
pubmed:volume
129
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
626-30
pubmed:dateRevised
2008-7-10
pubmed:meshHeading
pubmed:year
2007
pubmed:articleTitle
Toward the interoperability of HL7 v3 and SNOMED CT: a case study modeling mobile clinical treatment.
pubmed:affiliation
Faculty of Commerce, University of Wollongong, NSW, Australia. ajr883@uow.edu.au
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't