Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case

Martínez Costa, Catalina; Cornet, Ronald; Karlsson, Daniel; Schulz, Stefan; Kalra, Dipak

Publication:
Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case

dc.contributor.author	Martínez Costa, Catalina
dc.contributor.author	Cornet, Ronald
dc.contributor.author	Karlsson, Daniel
dc.contributor.author	Schulz, Stefan
dc.contributor.author	Kalra, Dipak
dc.contributor.department	Informática y Sistemas
dc.date.accessioned	2025-02-03T07:44:12Z
dc.date.available	2025-02-03T07:44:12Z
dc.date.issued	2015-02-10
dc.description	© 2015 American Medical Informatics Association. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ This document is the Submitted Manuscript version of a Published Work that appeared in final form in Journal of the American Medical Informatics Association. To access the final edited and published work see https://doi.org/10.1093/jamia/ocu013
dc.description.abstract	Objective: To improve semantic interoperability of electronic health records (EHRs) by ontology-based mediation across syntactically heterogeneous representations of the same or similar clinical information. Materials and Methods: Our approach is based on a semantic layer that consists of: (1) a set of ontologies supported by (2) a set of semantic patterns. The first aspect of the semantic layer helps standardize the clinical information modeling task and the second shields modelers from the complexity of ontology modeling. We applied this approach to heterogeneous representations of an excerpt of a heart failure summary. Results: Using a set of finite top-level patterns to derive semantic patterns, we demonstrate that those patterns, or compositions thereof, can be used to represent information from clinical models. Homogeneous querying of the same or similar information, when represented according to heterogeneous clinical models, is feasible. Discussion: Our approach focuses on the meaning embedded in EHRs, regardless of their structure. This complex task requires a clear ontological commitment (ie, agreement to consistently use the shared vocabulary within some context), together with formalization rules. These requirements are supported by semantic patterns. Other potential uses of this approach, such as clinical models validation, require further investigation. Conclusion We show how an ontology-based representation of a clinical summary, guided by semantic patterns, allows homogeneous querying of heterogeneous information structures. Whether there are a finite number of top-level patterns is an open question.	es
dc.format	application/pdf	es
dc.identifier.citation	Journal of the American Medical Informatics Association, 2015, Vol. 22 (3), pp. 565-576
dc.identifier.doi	https://doi.org/10.1093/jamia/ocu013
dc.identifier.issn	Electronic: 2574-2531
dc.identifier.uri	http://hdl.handle.net/10201/149968
dc.language	eng	es
dc.publisher	Oxford University Press	es
dc.relation	This work has been funded by the SemanticHealthNet Network of Excellence within the EU 7th Framework Program, Call: FP7-ICT-2011-7, agreement 288408, http://www.semantichealthnet.eu/.	es
dc.relation.publisherversion	https://oxfordjournals.org/jamia/article-abstract/22/3/565/773633?redirectedFrom=fulltext
dc.rights	info:eu-repo/semantics/openAccess	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	*
dc.subject	Electronic health record	es
dc.subject	Terminology	es
dc.subject	SNOMED CT reference terminology	es
dc.subject	Ontology	es
dc.subject	Semantics	es
dc.subject	Knowledge representation	es
dc.title	Semantic enrichment of clinical models towards semantic interoperability. The heart failure summary use case	es
dc.type	info:eu-repo/semantics/preprint	es
dspace.entity.type	Publication	es