1,677 FHIR-related articles (latest first)
InterSystems demonstrates how to use the FHIR Transformation Service to convert HL7®V2 messages into HL7® FHIR format and store them in AWS HealthLake. The video covers everything from setting up the integration to uploading and converting V2 messages.
Topology Health, which focused on solving data extraction challenges in healthcare systems, announced that it will continue its work and expertise at PhenoML. Having previously supported EHR connectivity and automated registry reporting, the company is moving into a new phase of development.
InterSystems released a new video for developers detailing 'SMART on FHIR.' The demonstration walks through the entire process of building, setting up, and configuring an FHIR app. It covers creating a FHIR server, setting up an OAuth 2.0 server, and integrating it with an Angular application.
本記事は、医療互操作性に関心を持つ読者に向けて、Udemyで提供される「初学者指南：FHIR標準と実装」というオンラインコースをレビューしている。このコースは、臨床医と技術専門家の知識ギャップを埋めることを目的としている。
Microsoftは、`New-AzHealthcareFhirService`というPowerShellコマンドレットを提供し、指定されたパラメータを用いてFHIRサービスリソースの作成や更新を可能にした。これにより、開発者はコードから直接、医療データ交換のための標準化されたAPIエンドポイント（FHIR）を管理できる。
駐土耳其代表の黄志揚氏が、台湾の全民健康保険（NHI）やFHIR導入による智慧医療の成功事例を強調し、世界衛生組織（WHO）に対し、政治的理由で排除されている現状の見直しと、グローバルな健康協力への参加を求めた。
This article explains how to connect with an FHIR (Fast Healthcare Interoperability Resources) server using the Flutter plugin `fhir_rest_client`. Developers can utilize this library to perform CRUD (Create, Read, Update, Delete) operations on medical resources such as Patient.
This training offers a specialized opportunity focused on implementing quality measures using CQL (Clinical Quality Language) based on FHIR data. Participants will learn about the concepts of quality measures and clinical decision support defined by third-party organizations, gaining practical implementation skills through hands-on exercises.
本記事は、FHIR Terminology ServiceやSNOMED CT Terminology Servicesなど、医療情報における標準的な用語集サービスの具体的な利用方法について複数の動画コンテンツを提供している。データ構造化や相互運用性の向上に役立つ技術的知見がまとめられている。
A 'Menopause value set' has been defined to code physiological states across different life stages. This set references standard terminologies like SNOMED CT, providing a group of concept IDs corresponding to multiple phases (pre-menopause, during menopause, post-menopause).
When building scalable healthcare systems, OpenEHR and HL7 FHIR are the dominant choices. Since their core objectives and architectures differ greatly, selecting the appropriate standard based on specific use cases is crucial.
This article provides a detailed, step-by-step guide for setting up and operating an HAPI FHIR Server in a Windows environment using PostgreSQL and Apache Tomcat. The author walks through the entire process, from installing necessary software (JDK, Postgresql) to configuring the project via Maven and setting up the application YAML file, demonstrating the practical implementation of a FHIR server.
Dedalus announced its participation and sponsorship of the "Working Group Meeting & HL7 FHIR Connectathon®" to be held in Madrid from October 5th to October 16th, 2025. This meeting is a vital forum for the HL7 International Working Group to advance standards and network with global industry leaders.
The Asia eHealth Information Network (AeHIN), in collaboration with HL7 International, is inviting participants to the 'HL7 FHIR Fundamentals Course.' This online, self-paced training introduces the FHIR standard and its real-world applications in healthcare.
This article explains how to query data based on the silver layer of Healthcare Data Solutions (HDS) within Microsoft Fabric, which is built upon the FHIR R4 standard. It demonstrates querying techniques using both Spark SQL and T-SQL, emphasizing that key harmonization provides a simpler and more consistent query experience.
The Pan American Health Organization (OPS) recommends improving the interoperability of electronic health information using HL7 FHIR to strengthen surveillance systems for adverse events following immunization (ESAVI). This webinar aims to provide foundational knowledge on FHIR, supporting national efforts to enhance electronic health information exchange capabilities.
In developing FHIR-based applications, the terminology layer is highlighted as playing an extremely critical role. Since major code systems like SNOMED CT and LOINC are used, performance and reliability are crucial to system success, requiring consideration during the design phase.
Mr. Rath Panyowat published video content explaining how to use HL7 FHIR Terminology Services. The article discusses the utilization of terminology services, such as SNOMED CT, for interoperability using FHIR.
The healthcare sector faces challenges in optimizing efficiency and reducing administrative burden. While data plays a key role in solving these issues, the diversity of its formats and sources makes interoperability essential.
An open-source framework called RareLink was developed to address the challenges of rare disease data sharing and secondary use. It enables standardized data exchange from REDCap to international registries and analysis tools, achieving compatibility with FHIR and Phenopackets.