Paper Info
Title
Ontology content patterns as bridge for the semantic representation of clinical information.
Abstract
Objective: Semantic interoperability of the Electronic Health Record (EHR) requires a rigorous and precise modelling of clinical information. Our objective is to facilitate the representation of clinical facts based on formal principles. Methods: We here explore the potential of ontology content patterns, which are grounded on a formal and semantically rich ontology model and can be specialised and composed. Results: We describe and apply two content patterns for the representation of data on tobacco use, rendered according to two heterogeneous models, represented in openEHR and in HL7 CDA. Finally, we provide some query exemplars that demonstrate a data interoperability use case. Conclusion: The use of ontology content patterns facilitate the semantic representation of clinical information and therefore improve their semantic interoperability. There are open issues such as the scalability and performance of the approach if a logic-based language is used. Implementation decisions might determine the final degree of semantic interoperability, influenced by the state of the art of the semantic technologies.
Year
DOI
Venue
2014
10.4338/ACI-2014-04-RA-0031
APPLIED CLINICAL INFORMATICS
Keywords
Field
DocType
Electronic Health Records,Semantics,SNOMED CT,Knowledge Representation,HL7 CDA,OpenEHR
Ontology,Computer science,Natural language processing,Artificial intelligence,Semantic representation
Conference
Volume
Issue
ISSN
5
3
1869-0327
Citations 
PageRank 
References 
6
0.53
5
Authors
2
Name
Order
Citations
PageRank
Catalina Martínez-Costa116317.99
Stefan Schulz21092127.03