The Ministry of Health and Welfare revised the standards for healthcare data terminology and transmission. This revision introduced four key data items—such as end-of-life care preferences, prescription dates, alcohol/smoking status—and expanded the application of international vocabulary standards (SNOMED CT and ATC) to five items.
The Ministry of Health and Welfare revised and implemented the 'Standard for Medical Data Terminology and Transmission' to build an interoperable environment for medical data. This addition includes critical items such as end-of-life care intentions and medication status, enabling data exchange using the FHIR standard.
The Ministry of Health and Welfare (MOHW) has revised and implemented the 'Healthcare Data Terminology and Transmission Standard.' This establishes a national standard allowing core data, including key health status and prescription information, to be exchanged using unified terminology.
FHIR enables seamless interoperability by connecting fragmented data from sources like EHRs and lab systems. This facilitates open, standardized healthcare information exchange among hospitals, payers, and research institutions, enabling more efficient and patient-centered care.
A centralized FHIR terminology server manages medical terminologies using HL7 FHIR APIs, preventing the loss of meaning during data exchange. This unifies standards like SNOMED CT and LOINC, improving clinical data accuracy and reliability.
Developers can achieve true semantic interoperability by integrating standardized terminology management services (like SNOMED CT, LOINC) with a FHIR server. This ensures that data retains its meaning across systems, eliminating ambiguity and enabling reliable information exchange.
This article describes end-to-end data migration services for healthcare IT vendors and providers. The service helps upgrade data environments by mapping and converting data using standards like SNOMED CT and LOINC, facilitating migration to FHIR-native platforms.
FHIR (Fast Healthcare Interoperability Resources), developed by HL7 International, utilizes modern web technologies to enable the international exchange of structured medical data. This facilitates seamless interoperability between diverse systems and contributes to the advancement of digital healthcare.
The emergence of Artificial Intelligence (LLMs) is shifting the handling of medical information from mere structure and syntax toward understanding 'meaning' and 'context'. Consequently, existing standards like FHIR are becoming essential not just as frameworks, but as foundational structures that provide 'semantic grounding' for AI.
Based on the eSant plan, Belgium is transitioning to a mandatory Integrated Belgian Health Record (BIHR) starting in 2026. This initiative adopts SNOMED CT as the clinical language and FHIR as the data structure standard, aiming for improved information sharing and efficient care delivery.
To solve the problem of limited cross-border medical access, Europe is promoting the 'European Health Data Space (EHDS)'. This system standardizes and securely shares data like diagnoses and test results, making 'FHIR' an essential foundational technology.
In Belgium, data sharing is advancing based on the Belgian Integrated Health Record (BIHR), requiring all physicians to transition to compatible Electronic Patient Records (EPRs) by 2029. This transformation aims to structure and reuse medical data through the adoption of international standards like SNOMED CT and FHIR.
Healthcare leaders across the region point out challenges like data siloing and poor system interoperability. They propose that true transformation requires a robust digital foundation built on three layers: data integration, integrity assurance, and intelligence activation.
Te Aho o Te Kahu has published a FHIR ValueSet defining the clinical N stage for female genital corpus uteri sarcoma, based on the AJCC cancer staging manual (8th edition). This resource standardizes the regional lymph node status (cN) before treatment initiation, aiding medical information exchange.
Black Pear Core is a platform that integrates primary care data in the UK, providing real-time and bidirectional access using the HL7 FHIR standard. By connecting to major systems like EMIS and SystmOne, it enables shared electronic health records and supports remote consultation, facilitating advanced healthcare services.
This course is designed for CMIO students in medical informatics. It aims to help participants distinguish between syntactic and semantic interoperability at the data level. Key topics include FHIR resources, RESTful APIs, and how SNOMED CT provides computable meaning.
This article provides a technical guide on the structure and usage of medical terminologies based on HL7 FHIR. It comprehensively covers fundamental concepts like CodeSystem and ValueSet, as well as advanced data retrieval methods using videos and multiple API endpoints.
Waymark Systems offers comprehensive digital health solutions based on FHIR standards, aiming to improve clinical workflows and patient care. The company ensures interoperability while integrating global clinical terminologies like SNOMED CT and LOINC, thereby eliminating data silos and enabling real-time decision support.