Cristina Soguero-Ruiz
Department of Signal Theory and Communications, Telematics and Computing, Rey Juan Carlos University, Spain
Inmaculada Mora-Jiménez
Department of Signal Theory and Communications, Telematics and Computing, Rey Juan Carlos University, Spain
Alfonso Sánchez-Caro
Department of Signal Theory and Communications, Telematics and Computing, Rey Juan Carlos University, Spain
Arcadi García-Alberola
Unit of Arrhythmias, University Hospital Virgen de la Arrixaca, Murcia, Spain
Luis Lechuga
University Hospital of Fuenlabrada, Fuenlabrada, Spain
Javier Ramos-López
University Hospital of Fuenlabrada, Fuenlabrada, Spain
José Luis Rojo-Álvarez
Department of Signal Theory and Communications, Telematics and Computing, Rey Juan Carlos University, Spain
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Published in: SHI 2015, Proceedings from The 13th Scandinavien Conference on Health Informatics, June 15-17, 2015, Tromsø, Norway
Linköping Electronic Conference Proceedings 115:18, p. 105-106
Published: 2015-06-26
ISBN: 978-91-7685-985-8
ISSN: 1650-3686 (print), 1650-3740 (online)
Clinical decision support systems can be improved if data exchange among different organizations with full and understandable clinical meaning is achieved. Towards this end, the development of new methodologies of information management is necessary. Among them, CEN/ISO EN13606 (archetypes) is the most promising approach. According to World Health Organization, cardiovascular diseases are the leading causes of death worldwide. A good number of risk indices from electrocardiogram signal processing have been proposed for cardiovascular risk stratification. We have considered here the Heart Rate Turbulence (HRT) due to its clear and concise guidelines. Based on previously built HRT ontology and archetype, a web prototype was created to achieve semantic interoperability among heterogeneous hospital systems; and to avoid technical limitations when different commercial tools are used. The web prototype was able to provide the user with the following functionalities: (1) binding the HRT ontology concepts to the HRT archetype nodes by using a designed archetype-ontology binding system; (2) compiling and maintaining database HRT records; and (3) exporting these records, while enabling semantic interoperability to allow data exchange among different systems.
Semantic interoperability; SNOMED-CT; archetypes; web technologies; clinical decision support; cardiovascular risk stratification.
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