Computer Methods and Programs in Biomedicine
Journal of Biomedical Informatics
A model-driven approach for representing clinical archetypes for Semantic Web environments
Journal of Biomedical Informatics
IEEE Transactions on Information Technology in Biomedicine - Special section on biomedical informatics
Artemis: Deploying semantically enriched Web services in the healthcare domain
Information Systems
An approach for the semantic interoperability of ISO EN 13606 and OpenEHR archetypes
Journal of Biomedical Informatics
Using an ECG reference ontology for semantic interoperability of ECG data
Journal of Biomedical Informatics
An ontological infrastructure for the semantic integration of clinical archetypes
PKAW'06 Proceedings of the 9th Pacific Rim Knowledge Acquisition international conference on Advances in Knowledge Acquisition and Management
Extraction and analysis of the structure of labels in biomedical ontologies
Proceedings of the 2nd international workshop on Managing interoperability and compleXity in health systems
OWL-based reasoning methods for validating archetypes
Journal of Biomedical Informatics
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The semantic interoperability between health information systems is a major challenge to improve the quality of clinical practice and patient safety. In recent years many projects have faced this problem and provided solutions based on specific standards and technologies in order to satisfy the needs of a particular scenario. Most of such solutions cannot be easily adapted to new scenarios, thus more global solutions are needed. In this work, we have focused on the semantic interoperability of electronic healthcare records standards based on the dual model architecture and we have developed a solution that has been applied to ISO 13606 and openEHR. The technological infrastructure combines reference models, archetypes and ontologies, with the support of Model-driven Engineering techniques. For this purpose, the interoperability infrastructure developed in previous work by our group has been reused and extended to cover the requirements of data transformation.