Marco-Ruiz, L.; Pedrinaci, C.; Maldonado Segura, JA.; Panziera, L.; Chen, R.; Bellika, JG. (2016). Publication, discovery and interoperability of Clinical Decision Support Systems: A Linked Data approach. Journal of Biomedical Informatics. 62:243-264. https://doi.org/10.1016/j.jbi.2016.07.011
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/151043
Title:
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Publication, discovery and interoperability of Clinical Decision Support Systems: A Linked Data approach
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Author:
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MARCO-RUIZ, LUIS
Pedrinaci, Carlos
Maldonado Segura, José Alberto
Panziera, Luca
Chen, Rong
Bellika, J. Gustav
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Issued date:
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Abstract:
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[EN] Background: The high costs involved in the development of Clinical Decision Support Systems (CDSS)
make it necessary to share their functionality across different systems and organizations. Service
Oriented Architectures ...[+]
[EN] Background: The high costs involved in the development of Clinical Decision Support Systems (CDSS)
make it necessary to share their functionality across different systems and organizations. Service
Oriented Architectures (SOA) have been proposed to allow reusing CDSS by encapsulating them in a
Web service. However, strong barriers in sharing CDS functionality are still present as a consequence
of lack of expressiveness of services interfaces. Linked Services are the evolution of the Semantic Web
Services paradigm to process Linked Data. They aim to provide semantic descriptions over SOA implementations
to overcome the limitations derived from the syntactic nature of Web services technologies.
Objective: To facilitate the publication, discovery and interoperability of CDS services by evolving them
into Linked Services that expose their interfaces as Linked Data.
Materials and methods: We developed methods and models to enhance CDS SOA as Linked Services that
define a rich semantic layer based on machine interpretable ontologies that powers their interoperability
and reuse. These ontologies provided unambiguous descriptions of CDS services properties to expose
them to the Web of Data.
Results: We developed models compliant with Linked Data principles to create a semantic representation
of the components that compose CDS services. To evaluate our approach we implemented a set of CDS
Linked Services using a Web service definition ontology. The definitions of Web services were linked
to the models developed in order to attach unambiguous semantics to the service components. All models
were bound to SNOMED-CT and public ontologies (e.g. Dublin Core) in order to count on a lingua
franca to explore them. Discovery and analysis of CDS services based on machine interpretable models
was performed reasoning over the ontologies built.
Discussion: Linked Services can be used effectively to expose CDS services to the Web of Data by building
on current CDS standards. This allows building shared Linked Knowledge Bases to provide machine interpretable
semantics to the CDS service description alleviating the challenges on interoperability and reuse.
Linked Services allow for building digital libraries of distributed CDS services that can be hosted and
maintained in different organizations.
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Subjects:
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Clinical Decision Support
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Linked Data
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Semantic Web Service
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Semantic interoperability
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Service Oriented Architecture
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Medical ontologies
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Copyrigths:
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Reserva de todos los derechos
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Source:
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Journal of Biomedical Informatics. (issn:
1532-0464
)
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DOI:
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10.1016/j.jbi.2016.07.011
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Publisher:
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Elsevier
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Publisher version:
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https://doi.org/10.1016/j.jbi.2016.07.011
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Project ID:
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info:eu-repo/grantAgreement/EC/FP7/317862/EU/Collaborative Open Market to Place Objects at your SErvice/
info:eu-repo/grantAgreement/MINECO//TIN2014-53749-C2-1-R/ES/MODELOS DE INFORMACION Y CONOCIMIENTO CLINICOS PARA ENLAZAR LOS SISTEMAS DE HISTORIA CLINICA ELECTRONICA Y DE AYUDA A LA DECISION CLINICA I/
info:eu-repo/grantAgreement/MINECO//PTQ-12-05620/ES/PTQ-12-05620/
info:eu-repo/grantAgreement/Helse Nord RHF//HST1121-13/
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Thanks:
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This work was supported by Helse Nord [grant HST1121-13]; the EU project COMPOSE [FP7-317862]; the Spanish Ministry of Economy and Competitiveness and the FEDER program [grants TIN2014-53749-C2-1-R and PTQ-12-05620]. We ...[+]
This work was supported by Helse Nord [grant HST1121-13]; the EU project COMPOSE [FP7-317862]; the Spanish Ministry of Economy and Competitiveness and the FEDER program [grants TIN2014-53749-C2-1-R and PTQ-12-05620]. We would like to thank Dr. Catalina Martinez-Costa for providing insights into Semantic Patterns and the outcomes of the SemanticHealthNet project. We are grateful to Cambio Healthcare Systems for providing the CDS modules used in the study. We would like to acknowledge Dr. Ian McNicoll, Dr. Gro Berntsen and Dr. Nils Kolstrup for providing information about how clinicians discover and analyze CDS guidelines and systems. Finally, we thank IHTSDO, Indizen and Ontotext for the technologies and licenses provided
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Type:
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Artículo
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