非洲健康数据困境与数字化转型：标准化与协同化的路径探索 - 生物通
Nature Communicationsの記事によると、アフリカでは医療データのデジタル化、標準化、および調和（ハーモナイゼーション）が喫緊の課題である。この取り組みにはFHIRやDHIS2などの技術活用が期待されている。
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Search results for "FHIR": 1,662 articles
International: 1,662 articles
Announcement of FHIR/HL7 Workshop (September 2025)
HL7 Spain announced a workshop focused on FHIR and HL7 related technologies. This aims to standardize medical information exchange and provide practical knowledge, allowing participants to gain insights into the latest interoperability standards.
HAPI FHIR JPA Server Architecture Explained: Technical Details of FHIR Implementation
HAPI FHIR provides a JPA Server that functions as a RESTful server. This server implements FHIR search and operation logic through Resource Providers and DAO layers, designed to withstand use in large-scale operational environments.
HAPI FHIR
Innovations in the Healthcare Cloud Computing Market: AI, Telehealth, and Interoperability
Cloud computing is becoming a necessity for modernizing healthcare systems. The article details how innovations like AI and Remote Patient Monitoring (RPM) are transforming everything from EHRs to diagnostic support. FHIR-based APIs are highlighted as key enablers for data interoperability.
Comprehensive Learning Resources for FHIR: From Concepts to Implementation
This page serves as a comprehensive hub providing diverse learning materials and information about FHIR (Fast Healthcare Interoperability Resources). It caters to users across various levels, from business leaders needing high-level understanding to technical architects requiring detailed implementation guides.
FHIR Protocol: What is its Goal of Simplifying Communication Between Healthcare Systems?
The main goal of the FHIR (Fast Healthcare Interoperability Resources) protocol is to enable the efficient and simplified exchange of health information between multiple healthcare systems. It focuses on enhancing interoperability rather than just data management.
FHIR Structure and Resource Knowledge Check: Practice Exam Questions
This material provides practice exam questions designed to test understanding of FHIR's resource structure and architectural design. Specific knowledge is required regarding the correct sequence of framework layers, such as those in the architecture, and how various resource types (e.g., MedicinalProductDefinition, Specimen) are defined.
Running the FHIR PAS Bundle Example Map
This guide details how to use IBM Sterling Transformation Extender to create an X12 interchange from a FHIR PAS bundle. The process involves mapping data into specific transactions, namely 278 (Request for Review) and 275 (Additional Information).
FHIR and HL7 Interconversion Example: Validation using IBM Sterling Transformation Extender
This article details the process of data interconversion between Observation resources (FHIR) and HL7 ORU messages using the IBM Sterling Transformation Extender. Specifically, it outlines the procedures for converting in both directions: from FHIR JSON/XML format to HL7 ORU, and vice versa.
IBM
Location of FHIR Example Files: Technical Documentation
IBM published technical documentation identifying the directory location where FHIR (Fast Healthcare Interoperability Resources) sample files are stored within Transformation Extender. This provides developers with a crucial reference point for implementation.
IBM
Translating from OMOP to FHIR Bridges the Gap in EHR Data
The solution enables flexible conversion between OMOP and FHIR, allowing researchers and clinicians to access healthcare data in formats familiar and valuable to them. This bridges the gap between Real World Evidence (RWE) workflows and operational clinical processes.
PalantirOMOPFHIR
FHIR-Compliant MCP Server for Google Cloud Healthcare API
This article describes the use of a Model Context Protocol (MCP) server. This server provides various healthcare tools by interacting with FHIR resources on Google Cloud Healthcare API and public medical research APIs like PubMed.
Azure AHDS FHIR MCP Server - LobeHub
本記事は、Azure AHDS FHIR MCP Serverというツールについて解説している。このサーバーは、FHIR標準を利用し、Python環境で動作するモジュールであり、医療データ連携のためのツールとして利用できることがわかる。
FHIR and OpenEMR: Enabling Modern Interoperability
OpenEMR, an open-source EHR, enhances its FHIR support to facilitate real-time data exchange and extensibility, supporting data-driven decision-making in healthcare. This improves clinical and operational continuity and efficiency, aligning with the trend of integrating FHIR APIs across systems by 2025.
Healthcare Data Interoperability Standards: A Guide to FHIR and HL7
This article explains the critical importance of 'Interoperability' for handling massive healthcare data, detailing its role in enabling information sharing between systems. It introduces major standards like HL7 and FHIR, outlining their respective functions and use cases for developers.
Azure AHDS FHIR MCP Server: Providing a Standard Interface for FHIR Data Operations
This article introduces the Model Context Protocol (MCP) server implementation compatible with Azure Health Data Services (AHDS) FHIR. This service provides a standardized interface for interacting with FHIR servers via MCP tools, enabling healthcare data operations.
AzureFHIR
Connecting the Healthcare Agent Orchestrator to your Electronic Health Record and Microsoft Fabric
The healthcare agent orchestrator, available in Azure AI Foundry Agent Catalog, enables advanced AI workflows by connecting with Electronic Health Record (EHR) systems. It utilizes standards like HL7 FHIR to support multi-disciplinary coordination and data analysis in clinical settings.
HL7Microsoft
AI Access Gateway to EHR Data using FHIR and MCP
This system securely fetches patient data from Electronic Health Records (EHRs) using the SMART on FHIR standard, then exposes it through a set of tools via the Model Context Protocol (MCP). This enables Large Language Models (LLMs) and AI agents to safely perform searches and analyses based on diverse EHR data.
The State of FHIR in 2025: Growing adoption and evolving
A survey was conducted to assess the current state and maturity level of FHIR adoption globally.
Integrating Healthcare Data with FHIR and a Clinical Data Repository
Firemetrics advocates that a single, FHIR-based Clinical Data Repository (CDR) provides healthcare providers with a foundation to utilize high-quality data for both clinical care and research. This eliminates data silos and accelerates innovation and real-time analytics.
Firemetrics GmbHHL7