1,676 FHIR-related articles (latest first)
This page is a reference site that systematically organizes and provides various healthcare information based on the FHIR (Fast Healthcare Interoperability Resources) standard. Users can view the definitions and structures of specific medical resources (e.g., AllergyIntolerance) by utilizing diverse filters such as version, authority, and region.
In modern healthcare settings centered on EHR systems, selecting the appropriate standard for data exchange is crucial. This article compares two major standards—HL7, with its long history, and FHIR, which uses an API-first approach—detailing their technical characteristics and implementation considerations.
openEHR International and Health Level Seven (HL7) International held a joint workshop to strengthen the collaboration between their respective health data standards. Both organizations identified key strategic areas for cooperation, bringing together global communities of clinicians, developers, and experts.
Darren Devitt has released a test collection containing data for 50 virtual patients to provide practical learning opportunities for FHIR search queries. This resource is useful for building and testing complex search queries on local FHIR server environments.
Deploying a FHIR server requires comprehensive planning that goes beyond mere activation, necessitating consideration of interoperability, security, performance, and governance. The article outlines 10 essential factors required to meet clinical and operational requirements.
This article details how to create or update an IoT Connector's FHIR (Fast Healthcare Interoperability Resources) destination resource using the `New-AzHealthcareIotConnectorFhirDestination` PowerShell cmdlet within a Microsoft Azure environment. This functionality allows data from an Azure workspace to be linked and standardized into a FHIR target.
DataArt supports the modernization of healthcare data using AWS HealthLake, helping clients meet regulatory demands. By structuring clinical, claims, and observational data based on standards like FHIR, they build systems enabling real-time analysis and exchange.
Aidbox has published a comprehensive guide on setting up the "MCP FHIR Server," which simplifies the creation and editing of FHIR resources. This functionality allows for setup with just one command, enabling management of FHIR resources from LLM desktop applications.
The healthcare sector holds massive amounts of data that, if utilized, can significantly improve care and accelerate innovation. This requires standardized data exchange and robust security measures, with standards like FHIR playing a central role.
Sealmatic presented an approach titled 'Pehle Rokda, Fhir Raasta,' focusing on FHIR (Fast Healthcare Interoperability Resources). This suggests a specific technical strategy for the healthcare IT sector, where ensuring interoperability is a key challenge.
Google officially launched the latest Android 16 (final version) on June 10, 2025. This version integrates features that enhance productivity and personalization, notably including the ability to handle medical data via Health Connect.
npj Digital Medicine proposed a method allowing structured queries, similar to SQL, to be applied to FHIR data. This enables the extraction of data directly from FHIR resources into a tabular format (tabular views), significantly enhancing analytical flexibility.
The article emphasizes that successful FHIR implementation requires not just technical expertise, but also a diverse team composed of members with various specialized knowledge. It argues that developers and analysts must be supported by clinical, terminology, business, and legal/privacy domain experts from the initial stages.
This article guides the process of synchronizing FHIR resources into BigQuery using Google Cloud functions. It details setting up a FHIR store, configuring data export, and establishing streaming from multiple stores.
AWS has launched HealthLake for European healthcare and life sciences customers. This allows them to store, transform, and analyze health data using FHIR standards while maintaining data residency within the EU.
The article discusses how Artificial Intelligence (AI) can enhance data management and patient autonomy. By combining AI with standardized data exchange frameworks like FHIR and TEFCA, it becomes possible to build a more secure and efficient patient-centered ecosystem.
本記事は、大規模な臨床試験（NCT02697916）における特定の有害事象に関するデータを、Fast Evidence Interoperability Resources (FEvIR) プラットフォーム上で公開している。このデータは、アスピリン81mgの投与群と325mgの投与群を比較した研究の結果であり、FHIR規格に基づいた構造化された形式で提供されている。
Amazon Web Services (AWS) has expanded its healthcare data processing service, AWS HealthLake, to the EU (Dublin) Region. This expansion allows European healthcare providers and insurers to store and analyze their health data while maintaining data residency within the EU.
Google Cloud is utilizing its Cloud Healthcare API to manage FHIR resources, including import and export functionalities.
Computable Publishing has published the evidence variable for the clinical trial data, 'Number of Participants Experiencing Hospitalization for Nonfatal Stroke (NCT02697916),' as an FHIR EvidenceVariable Resource. This resource aims to standardize a key outcome measure from a specific study and enhance interoperability.