3,748 FHIR-related articles (latest first)
Health Samurai and Databricks provide a unified foundation by standardizing diverse clinical data (e.g., HL7v2, C-CDA) into FHIR. This enables access to trusted data for all tools, including AI/ML, without requiring complex ETL processes, accelerating digital transformation in healthcare.
This study developed a prenatal monitoring information model to improve the quality of antenatal care in Brazil's primary healthcare setting. Using Design Science Research (DSR), it extracted concepts from use cases, ensuring interoperability based on the FHIR R4 standard for multi-disciplinary teams.
This article compares the technical differences between Australian (AU) and US FHIR implementations. While both use FHIR R4 as the base standard, significant variations exist at the Implementation Guide (IG) layer and in required data elements, indicating that simple configuration changes are insufficient.
The Uzbekistan healthcare system has introduced a new FHIR extension, the 'Managing organization attachment date.' This field records when a patient was attached to a managing organization, ensuring compliance with local operational rules, such as annual restrictions on changing management organizations.
This article explains how to integrate with Epic EHR, a major system in healthcare IT. Driven by regulations like the 21st Century Cures Act and ONC guidelines, API-based data access is crucial, making integration using the FHIR standard particularly important.
Elite will showcase its focus on Power AI Computing at COMPUTEX 2026 (June 2-5, 2026). Specifically, it will demonstrate the application value in vertical fields, such as AI-assisted information retrieval and medical data monitoring using FHIR BOX with LIVA mini computers.
Healthcare technology companies b.well Connected Health and myTomorrows have partnered to fundamentally improve how patients access clinical trials using AI-powered matching technology on unified health data. This collaboration streamlines the identification and enrollment of eligible patients by leveraging comprehensive, standardized health records.
Zintech offers cloud and AI support services utilizing the AWS FHIR API. The company deploys extensive technical capabilities to support infrastructure modernization and advanced data processing in the healthcare sector.
This study developed an information model using FHIR (Fast Healthcare Interoperability Resources) to enhance prenatal care. This allows multidisciplinary teams to seamlessly share clinical data, aiming to improve quality of care in primary healthcare.
The Ministry of Health and Welfare (MOHW) established national medical data interoperability using FHIR technology and national standards. This allows patient records from different hospital systems to flow instantly and securely, reaching a stage by late 2025 where they directly support AI clinical decision-making.
Fire Arrow provides a FHIR-native backend supporting the European Electronic Health Record Exchange Format (EEHRxF), enabling cross-border access and utilization of medical data. It ensures high security and auditability within a single system, accommodating both primary and secondary use cases.
Onyx announced the release of GLEAM, a market-first enterprise API designed to integrate, manage, and query all FHIR resources across an organization. This allows organizations to easily connect their FHIR data with various care management systems for comprehensive data exchange.
FUME, a data transformation API factory with native FHIR support, provides mechanisms to convert various source data into FHIR resources and other structured formats. It enables flexible data processing using a mapping language that combines JSONata-based expressions and FLASH via the RESTful API.
This article details the specification for the 'MedicinalProductPharmaceutical' resource in FHIR R4. This resource provides a structured information model for pharmaceutical products, comprehensively defining elements such as identifiers, ingredients, dosage forms, and usage restrictions.
A FHIR Capability Statement is a machine-readable document published by a FHIR server or client that declares which resource types, operations, and profiles it supports. This allows users to programmatically confirm the API contract beforehand.
HRSA has published the 'UDS Plus Insurance Codes' code system for patient-level submission data, released as an FHIR IG v1.0.1. This serves as a starter set to identify various types of insurance, such as Medicaid and Medicare.
ASSYST offers 'FHIRยฎBreak,' a zero-trust API solution enabling secure health information data exchange for enterprise users and subscribers. Built on an open API framework, it provides access to available FHIR resources and aggregate datasets.
A European data standardization project has published the specification for a logical model defining 'Health Professional' within electronic health records. This FHIR-based standard contributes to improving international healthcare data interoperability.
HL7 v2 is a messaging standard that has facilitated data exchange between hospital systems since the late 1980s. It uses a pipe-delimited text format to transmit clinical dataโsuch as admissions or lab resultsโin near real-time, forming a foundational technology used alongside modern standards like FHIR.
This study developed a standardized questionnaire based on HL7 FHIR to address the challenge of heterogeneous data collection for long-term follow-up of childhood cancer survivors. This provides a reusable foundation that supports not only primary clinical use but also secondary use within the European Health Data Space.