Marcos Menárguez-Tortosa

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The use of Electronic Healthcare Records (EHR) standards in the development of healthcare applications is crucial for achieving the semantic interoperability of clinical information. Advanced EHR standards make use of the dual model architecture, which provides a solution for clinical interoperability based on the separation of the information and(More)
Genome sequencing projects generate vast amounts of data of a wide variety of types and complexities, and at a growing pace. Traditionally, the annotation of such sequences was difficult to share with other researchers. Despite the fact that this has improved with the development and application of biological ontologies, such annotation efforts remain(More)
BACKGROUND Biomedical research usually requires combining large volumes of data from multiple heterogeneous sources, which makes difficult the integrated exploitation of such data. The Semantic Web paradigm offers a natural technological space for data integration and exploitation by generating content readable by machines. Linked Open Data is a Semantic(More)
Most advanced Electronic Healthcare Records architectures represent clinical knowledge by means of archetypes. Consequently , guaranteeing the correctness and consistency of such archetypes becomes crucial for the success of those ar-chitectures. In this work, we present a method that uses OWL and reasoners for evaluating the consistency of the archetypes.(More)
Semantic interoperability of clinical standards is a major challenge in the eHealth across Europe, because this would allow health-care professionals to manage the complete EHR of patient. Archetypes are considered a cornerstone to deliver fully interoperable EHRs. Our work is focused on the development of ontology-based methods and techniques for providing(More)
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