1,676 FHIR-related articles (latest first)
Google Cloud's Cloud Healthcare API allows for the batch retrieval of large volumes of HL7v2 messages. This capability resolves issues related to network costs and processing load associated with traditional single-message fetching, thereby improving data integration efficiency.
The modern healthcare ecosystem relies on seamless information exchange from diverse data sources. This article explains 'interoperability standards,' detailing how major specifications like HL7 and FHIR provide a common language for medical data.
2025年アジア太平洋永続医療論壇では、台湾と日本の医療専門家が集結。AIは人間の判断を補佐する「助攻者」であり、単なる代替物ではないという認識で一致した。台湾の健保署や日本大学病院など、各機関がデータ標準化（FHIR等）や低リスクからの導入を通じて人機協働を進める。
People Tech Group Inc offers a solution combining Azure Health Data Services and AI. This service modernizes revenue cycle management (RCM) for dental and outpatient clinics, automating processes from billing to insurance handling.
This article provides guidance on applying the FHIR standard to specific use cases, such as eCTD v4.0 and Veeva CRM/Epic EHR integration. It details solutions for international regulatory requirements and technical challenges in areas like pharmaceutical labeling (e-labeling) and clinical research data (eSource/ePRO).
This article presents the specific JSON format for a ServiceRequest resource within the MyHealth@Eu Laboratory Report. It explains how a blood test order (Hemoglobin and Hematocrit panel) is structured and utilized in electronic health record systems.
The AI Assistant in Aidbox Forms automates the entire workflow, generating FHIR-compliant Questionnaires, extraction logic, and analytics-ready ViewDefinitions from plain language requests. This significantly shortens the cycle of clinical form creation and improves data utilization efficiency.
本記事は、ヘルスケア業界におけるデータ共有と相互運用性の課題を背景に、主要な標準規格（FHIR, HL7, IHEなど）について基本的な知識を提供する。特に、これらの技術がどのように医療データの構造化と交換を実現しているかを解説する。
Curiflow offers a platform that automatically converts diverse healthcare data, including eFax, PDFs, and CCDA files, into the FHIR format. This solution significantly reduces development cycles while ensuring improved data quality and compliance.
HL7 has published the technical specification for a ValueSet (hl7VSsegmentGroupV500) defining segment groups. This code set is used to specify optional segment groups that should be included in a response.
This article explains how to programmatically retrieve FHIR resources using the Google Cloud Healthcare API. It provides detailed Go and Java code samples, demonstrating the process of accessing specified FHIR resources by utilizing parameters such as project IDs and dataset IDs.
HL7 has released the v2+ vocabulary for 'Action Code,' which indicates record operation status in healthcare information exchange. This is particularly used when a method to correct vaccination information transmitted with incorrect patient identifying information is needed, such as in vaccine messages.
This module explains how to ingest clinical data in FHIR format and integrate it into Microsoft Fabric data solutions. Learners will understand how standardized health data can be analyzed using unified folder structures and various ingestion approaches.
This document details the procedure for retrieving metadata (Capabilities Statements) of a FHIR store using the Cloud Healthcare API on Google Cloud. It serves as a technical guide, providing developers with concrete code samples to advance standardized medical data utilization and interoperability.
This article details a technical workflow that ingests FHIR JSON data, converts it through XML, and maps it into the X12 278 (Prior Authorization) format. The process demonstrates how to achieve automated, end-to-end transformation, including mapping, SNIP validation, and final target delivery.
This article discusses the challenge of database selection for healthcare software developers. It states that structured clinical data requires ACID properties using SQL (PostgreSQL), while high-frequency, semi-structured data from wearable devices is best handled by flexible NoSQL (MongoDB).
A regular technical conference regarding FHIR RDF, organized by David Booth, will be held. The meeting is scheduled to discuss several key topics, including plans for the next version (FHIR R6), implementation of RDF in HAPI FHIR, and integration with DICOM.
The open-source FHIR MCP Server enables access to medical data via natural language interfaces. This article provides a detailed review and comparison of the server's features and several related alternative projects (e.g., FHIR-PYrate, HealthChain).
Tim Benson is a leading expert in health informatics with over 30 years of experience. He has authored works that explain major healthcare IT standards, providing deep insights into medical data standardization and interoperability.
This service provides end-to-end medical IT product development for a wide range of clients, from startups to large government agencies. By combining the latest standards like HL7 FHIR with AI-native infrastructure, it offers B2B solutions addressing complex healthcare challenges.