1,676 FHIR-related articles (latest first)
This article details the process of creating or updating a FHIR service resource using the `New-AzHealthcareFhirService` cmdlet within Microsoft Azure. Developers can utilize this function to deploy FHIR services through the Azure Healthcare APIs module based on specified parameters.
FHIR enables real-time data exchange, facilitating seamless integration across EHRs and third-party apps. This accelerates improved patient care, personalized treatment planning, and advanced AI-driven medical research, driving global healthcare transformation.
This document explains how to obtain event data when an HL7 FHIR resource is deleted via Microsoft Azure EventGrid. This interface tracks which resource ID (`fhirResourceId`), type (`fhirResourceType`), version (`fhirResourceVersionId`), and service host name (`fhirServiceHostName`) were involved in the deletion.
This article technically explains the concept of 'Server Interceptors' within a HAPI FHIR environment. Developers can use these interceptors to insert specific processing logic before resources are saved or updated, enabling custom implementations like automatically clearing metadata such as tags and profiles.
Apple guides developers through the detailed review process of their 'Health Records' application, focusing on the FHIR API Profile page. Developers must check and update organizational details, such as display options and location information, to ensure accuracy before publication.
Traditional standards like HL7 v2 and v3 are insufficient for the modern digital healthcare ecosystem, which demands faster and more flexible data exchange. Consequently, the industry is shifting toward HL7 FHIR, a modern API-driven standard.
Canvas Medical updated its SDK and FHIR API for EMR systems. This release enhances plugin extensibility and data module support by adding features like setting PatientExternalIdentifier and fixing bugs related to medication signatures.
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。
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 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.
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.
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.
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.
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.
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).
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 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.
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.
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.
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。