1,676 FHIR-related articles (latest first)
オーストリアのHL7が、FHIR Messagingのリソースプロファイル「ATMessagingCommunicationRequest」に関する具体的な使用例を公開した。これは、診察文書（consultation document）の通信リクエストを扱うための構造化データであり、医療情報交換におけるメッセージングフローの実装指針を提供するものである。
This API provides a FHIR-compliant service for handling patient data consent forms, patient registration information, and third-party integrations. It utilizes REST architecture and requires OAuth2 for authentication.
eFax社（Consensus Cloud Solutions）のBevey Miner氏が、クラウドFAXにAIを組み合わせることで、非構造化文書からFHIR対応データへの変換が可能だと提言。これにより、リソースの限られた地域や小規模な医療機関もデジタルヘルス参加が可能となり、日本の医療情報連携における課題解決に貢献する。
HealthAll will exhibit at the international medical device exhibition, KIMES 2026, presenting an advanced solution for its IoT smart pillbox, 'CABINET.' The product integrates a 'Healthcare Gateway' function to collect and manage diverse external health data, such as blood pressure and blood glucose levels, in addition to medication adherence management.
The Asia eHealth Information Network (AeHIN) launched the second cohort of the 'HL7-AeHIN FHIR Fundamentals Training' with HL7. This initiative aims to strengthen digital health interoperability capacity across the Asia and Pacific region, attracting 96 participants from 15 countries.
WHO/HQ is holding the 'ICD-11 FHIR Connectathon' from May 25–26, 2026. This workshop links up with a meeting of the global health IT community organized by HL7, deepening international standardization efforts.
This article proposes a new workflow model utilizing AI agents to address complex interoperability challenges among healthcare payers. It argues that these interactions are not simple API design problems, but rather long-running 'conversations' requiring state preservation and audit trails, proposing a solution using A2A and FHIR within a layered stack.
This study proposes and develops an FHIR-based information system designed for Type 1 Diabetes consultations, utilizing patient-generated health data (PGHD). The system aims to provide more comprehensive and personalized care by integrating electronic medical records with real-time data.
At the major health conference HIMSS26, healthcare digital transformation (DX) is shifting from mere technology display to a phase of 'large-scale deployment.' Artificial Intelligence (AI), interoperability, and cybersecurity are highlighted as essential requirements for system implementation.
FHIR, developed by HL7, is an API-first standard that treats healthcare data as JSON resources. This approach solves the problems of complex legacy formats (v2 and v3), providing a mechanism easily accessible to developers.
Verba Legalによる調査が、ロシア、シンガポール、イスラエル、オランダの医療データ管理・共有方法を比較した。日本の現状と比較し、単なる「データの収集」に留まる国内システムの問題点を指摘している。
Microsoft released FHIR Server version 4.0.693. This update includes several key fixes, such as ensuring standard compliance for the Resource-Type search parameter and implementing SSRF protection in the sample SMART app.
This study analyzed the integration of FHIR, an open standard for healthcare data sharing, with Medplum to develop and evaluate an AI-powered system. The system significantly improves clinical decision support by reducing documentation time by 50% and achieving substantial error rate reductions (average 60%).
This article details a high-performance indexing method using SQLite and FTS5 to address the challenge posed by FHIR's massive, complex data structure (JSON files). It describes how extracting and normalizing metadata from FHIR resources enables the creation of a fast and reliable full-text search system.
FHIR integration creates value by supporting existing workflows for clinicians and lab teams. The focus must be on reducing friction and improving context, rather than mere standardization.
This article provides a beginner's guide to the HL7 FHIR standard. It explains that FHIR defines both the structure and exchange mechanisms for health information, playing a crucial role in achieving semantic interoperability.
Shen AI is a measurement technology that captures physiological signals from a camera and outputs structured vital signs like heart rate and blood pressure. This SDK provides stable JSON output, enabling integration into existing systems without managing data persistence or clinical workflow orchestration, thus simplifying FHIR mapping.
This article introduces Firely Server, a turn-key FHIR server solution. Users can test it using sandbox environments or evaluation licenses and access commercial editions for production use. Key setup steps include selecting the database (e.g., MongoDB, SQL Server) and deployment method (e.g., Docker, Kubernetes), while advanced customization allows integration of custom profiles and plugins.
Researchers proposed 'BlockIoT,' a unified framework designed to securely integrate decentralized health data from IoT devices into FHIR-compliant electronic health records. The system leverages semantic web and blockchain technology to build a reliable bridge between real-time personal data and clinical systems.
This document is a technical reference detailing the `FHIRServer` class within the AWS SDK for C++'s ConnectHealth model. This class manages server connection settings based on the Fast Healthcare Interoperability Resources (FHIR) standard, facilitating access to patient data.