1,676 FHIR-related articles (latest first)
HL7 Vulcan aims to eliminate silos in healthcare and research data by leveraging FHIR (Fast Healthcare Interoperability Resources). This effort facilitates accelerated research, streamlines workflows, and improves patient access to information using clinical and real-world data.
Healthcare IT professionals are increasingly required to prove their expertise in HL7 and its modern framework, FHIR—international standards for electronic health data exchange. These certifications validate specialized knowledge crucial for system integration and clinical data exchange.
Representatives from EU countries, industry, and international organizations discussed the European Health Data Space (EHDS). The EHDS aims to enable secure and standardized exchange of health data—such as from electronic patient files or medical registers—to improve research and care. Key technical challenges highlighted include ensuring trust, security, and interoperability via HL7 FHIR.
This article technically explains the concept of an 'Intersection' for a specific FHIR resource (ror-organization-creation-date), which integrates two different aspects (or combinations of the same aspect). It details the structure and constraints required for resources conforming to this intersection definition.
Akinola Olutola won the Novat Award in the Software Development category and was inducted into the Novat Hall of Fame. He was recognized for achieving measurable performance and interoperability gains in high-volume healthcare systems.
This article introduces an open-source FHIR MCP Server built on the Model Context Protocol (MCP). This tool allows users to access healthcare data using natural language, reducing the need for deep FHIR expertise and mitigating risks like AI-generated code errors.
This page defines the data structure for resources related to specific permanent social help places and organizations. The format details how data must be structured using FHIR-based extensions.
Several critical security vulnerabilities, including ReDoS, authentication leaks, and XXE, have been discovered in HAPI FHIR, an open-source implementation of FHIR. These issues stem from the use of FHIRPath and processing within HTTP endpoints, affecting a wide range of versions.
Multiple healthcare IT experts emphasize that achieving seamless medical data sharing requires 'true interoperability.' They stress the importance of FHIR-based architectures and semantic understanding, noting that overcoming barriers like legacy systems and information blocking is crucial.
HL7 Spainは、2025年10月にHL7 V2.8に関するワークショップの開催を告知した。これは医療情報交換規格であるHL7 V2.8に焦点を当てた学習機会を提供するものである。
本記事は、コードシステムにおけるマッチング検索を行うためのFHIR OperationDefinition「find-matches」について解説している。この操作は、指定されたコード・値のプロパティセットに基づいて、一致する可能性のあるコードを複数取得することを目的としている。
Healthcare organizations can use the identifier from Microsoft Entra External ID with the FHIR service in Azure Health Data Services to manage secure access for their applications and users. This involves setting up an external ID tenant and deploying the FHIR service using ARM templates.
An OperationDefinition is provided within the Fast Healthcare Interoperability Resources (FHIR) standard to test the 'subsumption' relationship between code systems. This allows determination of conceptual superordinate/subordinate relationships between two codes A and B.
Global Health Connector held the 30th HL7 FHIR Connectathon from May 2 to May 4, 2022. The event focused on validating the exchange and display of electronic Product Information (ePI) and International Patient Summary (IPS) using FHIR documents.
AirGate Technologies Inc. offers an integrated data analytics solution combining Azure Health Data Services and Azure Synapse. This enables healthcare providers and payers to utilize data scattered across different systems, aiming for personalized care delivery and cost reduction.
Computable Publishing LLCが、末期腎不全（End-stage kidney disease）に関する臨床的な証拠変数（EvidenceVariable）をFEvIRプラットフォームで提供した。このデータは、FHIR EvidenceVariableリソースを用いて構造化され、医療情報の相互運用性向上に貢献する。
筆者は、Go言語を用いてFHIRデータの取り出しと処理を行うAPIの構築過程について解説している。読者からは、具体的なクエリ要素（例：`_elements`, `_has`, `_include/ _revinclude`）や、最新の臨床データ（例：血液検査結果など）を考慮した実装への要望が寄せられている。
This article introduces cloud healthcare services from AWS and Google Cloud Platform (GCP), explaining the data processing workflow using standards like FHIR. It demonstrates the potential for AI-driven clinical decision support through structuring and analyzing electronic health records.
Google has announced 'Kotlin FHIR,' an open-source library. This tool enables the development of applications based on the FHIR standard to run simultaneously across multiple platforms, including Android, iOS, and Web.
The author built a data export and processing API using Go, leveraging FHIR (Fast Healthcare Interoperability Resources). Recognizing that standard FHIR APIs struggle with retrieving comprehensive data or facilitating bulk analysis for patients with extensive medical histories, the solution introduces an intermediate layer to ensure fast and reliable data access.