Toward the interoperability of HL7 v3 and SNOMED CT: a case study modeling mobile clinical treatment.
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.
Ryan
Amanda
A
Faculty of Commerce, University of Wollongong, NSW, Australia. ajr883@uow.edu.au
Eklund
Peter
P
Esler
Brett
B
D003195:Computer Communication Networks / Q000592:standards*; D012660:Semantics; D039061:Systematized Nomenclature of Medicine; D018511:Systems Integration; D009626:Terminology as Topic