This article explains the versioning process for FHIR Questionnaires, emphasizing its critical role in maintaining data integrity. Since Questionnaires are used to collect structured healthcare data, proper version control is essential for tracking changes and ensuring compatibility.
Smile Digital Health's FHIR® platform, Smile CDR, enables structured management of clinical data in hospitals. Through nursIT, it integrates standards like HL7 v2 and SNOMED CT to provide a central data platform with high interoperability.
A Standards and Regulatory Frameworks Workgroup has developed an action plan to enhance interoperability between patient applications (apps) and Electronic Health Records (EHRs). The plan recommends utilizing FHIR APIs, aiming for standardized data exchange that includes write access for observation data and questionnaires.
Developed by HL7, FHIR standardizes fragmented healthcare data using a resource-based structure and RESTful APIs. This enables real-time sharing and analysis of data by leveraging global standards like SNOMED CT and LOINC.
Dr. Viola Henke of DMI points out the financial difficulties and structural challenges facing German hospitals. She states that utilizing new funding mechanisms (KHTF) requires an integrated approach to digitalization, focusing on interoperability and data strategy, rather than mere system implementation.
The Ministry of Health and Welfare (MOHW) has presented a '333' blueprint to advance Taiwan's digital healthcare. This aims to institutionalize data governance, security, and AI usage across three major areas, enhancing international competitiveness.
Agentic AI refers to systems that autonomously take action toward a goal, going beyond simple question answering. To realize this advanced capability, standardized data access and mechanisms for action provided by FHIR are essential.
West Coast Informatics announced major enhancements to its FHIR-native terminology platform, TermHub, and the launch of Open TermHub. This aims to simplify access and deployment of clinical terminologies like SNOMED CT and LOINC, supporting large-scale interoperability.
Black Book Research published a 2026-2027 report analyzing that healthcare procurement is shifting from applications to 'data itself.' OpenEHR, combined with HL7 FHIR, is emerging as a key platform for maintaining AI-usable longitudinal clinical records.
HL7 FHIR adoption is accelerating due to regulatory mandates and technological advancements, with U.S. federal initiatives like TEFCA driving progress. This article outlines the latest trends of the FHIR standard for 2026 and highlights key areas healthcare organizations must prepare for.
Global Health Connector announced 'FHIR Connect,' a new service featuring an open framework. This tool supports the creation of bidirectional interfaces for handling clinical data by integrating FHIR applications with an openEHR repository.
Taiwan's Ministry of Health and Welfare (MOHW) advanced its 'FHIR one-stop conversion tool.' This tool standardizes electronic medical records by refining text and recommending international codes like SNOMED CT and LOINC, achieving an overall recommendation accuracy of 91.3%.
This article outlines the criteria healthcare leaders must evaluate when selecting a suitable implementation partner based on the FHIR standard, which is the backbone of modern healthcare interoperability. It emphasizes that comprehensive perspectives are needed, including technical capabilities, EHR integration experience, resource modeling, and security design.
Annett Müller of DVMD points out the definition of 'smart data' in modern medical information management and the challenges of its utilization. She emphasizes that obtaining valuable insights requires both data completeness and interoperability.
Anthropic's 'FHIR Developer Agent skill' improves interoperability between healthcare systems via Claude Code. This skill provides specialized knowledge based on the HL7 FHIR R4 standard, assisting in clinical data validation and REST API construction.
Modern data architecture is necessary to effectively utilize the massive amounts of data generated by hospitals and health systems. The goal is to overcome siloed environments and build a reliable information foundation based on standards like FHIR.
The Ministry of Health and Welfare revised the 'Healthcare Data Terminology and Transmission Standard,' which defines core items, terminology, and transmission methods for healthcare data exchange. This update expands the application of international terminologies (SNOMED CT, ATC) and incorporates technical specifications for FHIR-based data transfer.
The Ministry of Health and Welfare revised the 'Healthcare Data Terminology and Transmission Standard,' which defines key items and terms for healthcare data exchange and utilization. This standard incorporates core data such as life-sustaining care wishes, alcohol consumption status, and smoking status, enhancing international interoperability using FHIR format.