A test build of the FHIR standard was released focusing on mapping Snomed CT VaccineCode to TargetDisease. This update is part of the ongoing development of global interoperability standards.
The FHIR Server SNOMED CT Browser was utilized to demonstrate the mapping of the code 128649001, which represents Hepatocellular carcinoma, clear cell type. This functionality supports the integration of SNOMED CT terminology within the FHIR standard.
The healthcare sector in the Gulf Cooperation Council (GCC) requires strengthening its digital infrastructure. This effort involves harmonizing and normalizing data using established global standards like ICD-10, SNOMED, and LOINC.
The HiNZ eHealth Forum conducted a data standards workshop focusing on the application of Artificial Intelligence (AI). This workshop specifically addressed the integration of AI using SNOMED and FHIR standards.
A workshop was held to discuss data standards, specifically focusing on the integration of AI with SNOMED and FHIR. This effort aims to establish best practices for utilizing advanced data standards in healthcare technology.
CSIRO presented findings emphasizing the necessity of specific standards for developing sovereign AI. The organization identified FHIR and SNOMED as essential components ('rocket fuel') for advancing AI in healthcare.
Black Book Research released its 2026 Global State of Healthcare report. The report highlights the hardening of the data backbone in North America, referencing standards like FHIR, SNOMED CT, and LOINC.
A discussion took place regarding the role of AI in shaping healthcare interoperability standards. The importance of established standards like HL7 FHIR and SNOMED CT was highlighted for enabling future data exchange.
A key proposal focuses on converging openEHR and FHIR standards using SNOMED CT. This integration involves incorporating the FHIR Terminology Services API into the openEHR system.
The study presented a tractable and extensible approach to integrating SNOMED CT terminology within the FHIR framework. This method provides a structured way to enhance interoperability using standardized clinical codes.
The content outlines the fundamental principles necessary for achieving health interoperability. This guidance covers the use of major standards, including FHIR, HL7, and SNOMED CT, to ensure data exchange.
A new FHIR-Native Dental Ontology was developed for global dental data standardization. This standardization follows a dual model utilizing HL7 FHIR for data exchange and SNOMED CT for terminology.
DeepNode is spearheading a large-scale national project valued at 11.6 billion KRW for advanced medical AI. The project aims to automate medical image report generation and ensure global compatibility using international standards such as FHIR and SNOMED CT.
A major AI project is being planned to specialize in medical applications. This initiative plans to apply international medical data standards, such as HL7, FHIR, and SNOMED CT, from the initial development phase to ensure global compatibility.
Medblocks offers comprehensive tools and services for developing healthcare applications. These tools specifically support integration with major standards including FHIR, openEHR, and SNOMED.
The content discusses fundamental principles of health interoperability. It covers the use of major standards like FHIR, HL7, and SNOMED CT to ensure data exchange compatibility.
fhir.ch released mappings related to the eTOC Secondary Diagnosis Condition and the Workflow Pattern. These mappings specifically cover the SNOMED CT Concept Domain.