The Spanish National Reference Center has developed a Reference Implementation for Databases (IRBD in its Spanish acronym),which is regularly updated and made available to all national licensees. This initiative aims to promote the adoption of SNOMED CT as the standard for clinical normalization and interoperability within the Spanish National Health System by facilitating the integration and deployment of the terminology and its national extensions across multiple relational database platforms.

The IRBD is distributed in three database formats‚ MySQL, PostgreSQL, and Oracle‚ allowing broad adaptability and integration with existing information systems. In parallel, the team is leveraging SNOMED International's Neo4j tools to implement graph-based models of the Spanish extensions, enabling advanced semantic querying and reasoning

This study presents a methodology for constructing a Traditional Chinese Medicine (TCM) semantic network system based on SNOMED CT, addressing challenges in terminology standardization and knowledge integration within the TCM domain. By analyzing SNOMED CT's framework and encoding rules, and incorporating TCM-specific features (e.g., property-channel tropism, efficacy classification), we designed an ontological model encompassing core concepts, attribute relationships, and terminology mapping. The system employs semantic web technologies (e.g., RDF, OWL) to establish hierarchical and associative relationships among TCM concepts (e.g., "incompatibility," "pharmacological effects") while ensuring compatibility with SNOMED CT for international standardization. Experimental validation involved constructing a prototype semantic network (e.g., nodes for Astragalus membranaceus) to demonstrate the system's efficacy in terminology normalization, knowledge reasoning, and cross-domain data linkage. This research provides a feasible solution for standardizing and enabling intelligent applications (e.g., clinical decision support, big data analytics) of TCM knowledge, while expanding SNOMED CT's applicability to traditional medicine. It aims to foster integration between TCM and Western medicine and advance the modernization and digitization of TCM through foundational semantic infrastructure.

Te Aho o Te Kahu (Cancer Control Agency) in collaboration with Health New Zealand - Te Whatu Ora in New Zealand is designing national standards for sharing cancer data across the healthcare system. This presentation will focus on the molecular and immunohistochemistry aspects of this work, which support the sharing of ancillary study results from the pathology labs to medical oncologists, haematologists, and radiation oncologists. These test results are crucial in supporting the diagnosis and treatment of cancer patients. We will describe our unique approach to modelling these genetic test results that supports the appropriate level of detail required by both structured pathology reports and cancer treatment clinicians.