Isosemantic rendering of clinical information using formal ontologies and RDF.
The generation of a semantic clinical infostructure requires linking ontologies, clinical models and terminologies [1]. Here we describe an approach that would permit data coming from different sources and represented in different standards to be queried in a homogeneous and integrated way. Our assumption is that data providers should be able to agree and share the meaning of the data they want to exchange and to exploit. We will describe how Clinical Element Model (CEM) and OpenEHR datasets can be jointly exploited in Semantic Web environments.
Institute of Medical Informatics, Statistics and Documentation, Medical University Graz, Austria.
Catalina
C
Martínez-Costa
Diego
D
Bosca
Mari Carmen
MC
Legaz-García
Cui
C
Tao
Jesualdo Tomás
JT
Fernández Breis
Stefan
S
Schulz
Christopher G
CG
Chute
D001185:Artificial Intelligence; D059019:Clinical Coding / Q000379:methods*; D057286:Electronic Health Records; D016247:Information Storage and Retrieval / Q000379:methods*; D008498:Medical Record Linkage / Q000379:methods*; D009323:Natural Language Processing; D011381:Programming Languages; D012660:Semantics; D018875:Vocabulary, Controlled