1,676 FHIR-related articles (latest first)
Echo-Health connects to existing Practice Management Systems (PMS) using FHIR R4, enabling integrated patient data without requiring data migration or platform switching. This allows clinicians to access comprehensive patient intelligence in real time at the point of care.
This page introduces the search and management functionality for code systems, combining large medical knowledge bases like UMLS (Unified Medical Language System) with standards such as FHIR (Fast Healthcare Interoperability Resources). Users can systematically reference various types of codes and terms to acquire necessary information for building Value Sets.
In healthcare, interoperability has become the essential technical foundation for AI-driven applications and digital products. Yanick Gaudet, an HL7 co-chair, explains that due to data fragmentation across various systems, migrating to the FHIR standard is critical for modernizing healthcare IT.
We BiNar offers integrated solutions that cover the entire healthcare workflow—from PACS systems and EHR integration to patient portals—based on international standards like DICOM and HL7 FHIR. This ensures centralized management of diagnostic images and reports, extending even to data submission to Italy's FSE 2.0, guaranteeing high interoperability.
Antrazal provides standardized, real-time healthcare data interoperability to connect multiple systems. Specifically, it achieves seamless data synchronization between EHRs, labs, and billing platforms through the development of FHIR-based APIs and configuration of HL7 interfaces.
MuleSoft Anypoint Platform provides a system API designed to link data from the legacy HL7 v2 format with the modern FHIR standard. This enables seamless data exchange between different generations of healthcare information systems.
MuleSoftが、FHIR R4準拠のCarIN Organization APIに関する各種インスタンス情報を公開した。これにより、開発者は特定のバージョンや環境におけるAPIのエンドポイントを把握し、システム連携の実装を進めることができる。
Health Samurai launched Formbox, a form management platform. It replaces fragmented, paper-driven workflows with a unified system that clinical teams can control themselves.
Detailed specifications are published for the FHIR R4 ResearchElementDefinition API instance, provided by MuleSoft. This information covers version 1.0.x and details its conformance status and associated rulesets.
This article provides detailed technical steps for securely connecting a custom Python microservice to OpenEMR using the SMART on FHIR OAuth2 flow. It covers the entire process, including client registration, token introspection, and critical setup considerations like scope management and hostname resolution.
To solve the problem of AI 'hallucination' when querying vast, versioned FHIR specifications in healthcare IT, a development team built a Model Context Protocol (MCP) server. The article analyzes the shortcomings of traditional RAG and API designs, detailing why MCP was adopted to provide structured data access and outlining the local-first architecture.
This paper discusses using Health Level 7's FHIR (Fast Healthcare Interoperability Resources) to facilitate real-time data exchange in life-critical scenarios. It highlights that leveraging FHIR's event-based mechanism moves away from traditional batch processing, enabling timely and appropriate treatment through readily available data.
This article addresses the problem of 'Interface Drift' in healthcare data flows, explaining an AI-driven approach for continuous monitoring and self-remediation. This capability detects semantic failures caused by changes in EHRs or interconnected systems, enabling safe and auditable corrections.
This document provides the FHIR profile mapping specification to support the EHR/KTC MVP Workflow (Phase 0 & Phase 1). It outlines implementation guidelines based on standards like US Core and IPS, targeting interoperability engineers and integration architects.
マット・フード氏が、ヘルスケア業界における大きな課題と、その解決策としてのFHIRについて講演した。本発表では、FHIRとは何か、どのような機能を持つのか、そしてそれが提供する可能性のある革新的な展望が紹介された。
SL Core has published an Implementation Guide (IG) for 'SL Example' based on FHIR 4.0.1. This version is v0.1.0 and provides comprehensive definitions including various core resources and code systems.
Researchers emphasize that systematic data modeling is crucial for efficient, future-proof healthcare information sharing. They recommend that while HL7 FHIR excels in data exchange and interoperability, the appropriate standard must be chosen based on specific goals, such as analysis or organizational structure.
This article explains the versioning process for FHIR Questionnaires, emphasizing its critical role in maintaining data integrity. Since Questionnaires are used to collect structured healthcare data, proper version control is essential for tracking changes and ensuring compatibility.
This article explains how 'Practitioner' information—including healthcare providers, clinicians, and care team members—is structured and made available through an API based on the FHIR standard. It details how specific fields like names, identifiers (such as NPI), and qualifications enable the identification of practitioners and tracking of care teams.
Despite standards like FHIR, EHR interoperability often fails. The article argues that the failure is not due to missing standards but rather structural, economic, and operational challenges overlooked by vendors. These issues hinder data exchange and undermine care delivery.