3,748 FHIR-related articles (latest first)
FHIR APIs move beyond basic data sharing to achieve clinically useful interoperability. This allows healthcare providers to access necessary data quickly, complete with proper context, enabling better next-step decisions.
SwiftAuth Medical LLC announced the launch of 'SwiftAuth,' an AI-powered healthcare automation platform. The platform aims to streamline complex administrative tasks, such as prior authorizations and referrals, for medical facilities, thereby improving efficiency and reducing delays in patient care.
Following Quanta's win for an on-premise FHIR server, this article analyzes the true fundamentals of smart healthcare. It emphasizes that sustained success requires four elements to be simultaneously met: cybersecurity, real-time processing, accuracy, and system integration.
The CHU de Toulouse is advancing digital transformation, focusing on data governance and interoperability to address challenges in structuring and utilizing increasing amounts of data. This initiative adopts the FHIR standard to improve specific operational processes like electronic health records and pharmacy management.
According to Black Book Research, U.S. health plans are moving beyond mere digital transformation promises and prioritizing measurable outcomes and operational value in their IT investments. Specific areas like authorization processes, data quality, and AI governance require concrete proof of improvement.
Taiwan has established a nationwide digital infrastructure, utilizing AI and international standards (FHIR) to realize an advanced, patient-centered medical system. This model is deemed critical for global health security.
The FHIR Observation resource is the primary structure for recording all types of measurements and assessment results related to a patient. This allows quantifiable clinical findings—such as lab results, vital signs, and lifestyle data—to be handled uniformly, forming a foundation for health information exchange.
This document details the mappings for the FHIR `ehealth-questionnaire-advanced` resource profile across multiple standards, including HL7 v3 and FiveWs. This aims to ensure interoperability of questionnaire data within electronic health records.
精鋭電腦はCOMPUTEX 2026で、Edge AI（エッジ人工知能）の商業的導入と垂直市場への展開戦略を発表した。特に智慧医護分野では、LIVA Z11 PLUSミニPCに大同医護のFHIRソリューションを統合し、国際標準に基づいた安全なデータ伝送を実現する実証を行った。
Cognizant is expanding its AI capabilities into healthcare and travel by partnering with Travelport and releasing agent-based APIs on the TriZetto Unify platform. This establishes FHIR standard-compliant, agent-supported APIs as core infrastructure for AI agents across multi-payer and large-scale transaction systems.
本ガイドは、FHIRネイティブな問診票リマインダーや患者サーベイランスワークフローをFire Arrow Serverを用いて構築する方法を解説している。定期的な症状モニタリングが必要な慢性疾患プログラムなどにおいて、標準化された質問票（例：PHQ-9）のスケジューリングとデータ収集を一元管理できる。
eHealth Infrastructure provided a function to statistically aggregate the status of 'CarePlans' and 'EpisodeOfCare' based on FHIR. This report allows grouping by specific Condition Codes, enabling the tracking of active care plans and episodes within healthcare organizations.
CloudSight Nexus offers five platforms, built to be FHIR-native and powered by AI, providing comprehensive interoperability solutions for healthcare organizations. This integration covers everything from EHR management to prior authorization automation and compliance.
Cognizant Technology Solutions is expanding its presence in the AI field by partnering with Travelport and launching electronic prior authorization APIs on its TriZetto Unify platform. This establishes a headless API platform compliant with HL7 FHIR, positioning Cognizant as central infrastructure for multi-payer healthcare and travel workflows.
CloudSight Nexus offers an AI-powered patient care suite that enables predictive analytics and remote vital monitoring. The platform facilitates seamless exchange of medical charts and data across various healthcare services through FHIR standards compliance.
The National Health Insurance Administration (NHIA) of Taiwan adopted the international standard FHIR for Next Generation Sequencing (NGS) data handling to promote precision medicine. This initiative digitizes genetic testing reports, which were previously managed in PDF or unstructured text, thereby advancing cross-hospital data interoperability and automation.
DG Connect offers an enterprise-grade data platform designed for the South African healthcare environment. The system is FHIR R4 native, adheres to local privacy laws (POPIA), and supports major standards including HL7 v2, SNOMED CT, and LOINC.
This event will demonstrate how structured data using FHIR Structured Data Capture (SDC) enables the execution of real clinical workflows across diverse settings, including hospitals and home care. Specific use cases are presented, ranging from AI-powered natural language interviews to standardizing ICU records and managing UK waitlists.
Addressing the issues of scattered information and cognitive load in electronic medical records, experts developed a 'Patient Journey Smart Platform.' This system enhances medical safety by integrating all data onto a timeline and providing AI-driven insights and real-time drug interaction warnings.
This article details the modular, five-layer architecture of the AJ Smart FHIR Platform. Each layer—from applications to infrastructure—is independently deployable and replaceable, outlining a detailed technical flow for EHR launch and component interaction.