3,748 FHIR-related articles (latest first)
Google provides a de-identification function for FHIR data, as well as DICOM images and metadata, through the Cloud Healthcare API. This tool is intended only for demonstration purposes and does not call the actual de-identification API.
Computable Publishing LLC provides the 'FEvIRยฎ: Resource Viewer,' an environment for viewing FHIR-based resources. This tool enables data display based on FHIR and EBMonFHIR IGs.
The European healthcare business intelligence (BI) market is growing, driven by the shift to value-based care models and EU-level interoperability initiatives. The adoption of standards like HL7 FHIR enables cross-border analysis, contributing to cost containment and quality improvement.
Oracle Health provides independent software vendors (ISVs) with a pathway to gain both technical credibility and commercial reach by developing, validating, and listing their FHIR apps within its ecosystem. This process helps achieve market differentiation and accelerate adoption.
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The National Library of Medicine (NLM) is developing tools utilizing Electronic Health Records (EHRs) and the HL7 Fast Healthcare Interoperability Resources (FHIR) standard to facilitate medical research data sharing. This effort aligns with an NIH notice aimed at enhancing capabilities for capturing, integrating, and exchanging clinical data for research.
The article explains the technical flow for asynchronous FHIR operations, where clients initiate jobs and servers execute them in the background. This prevents system blocking, enabling reliable processing of large volumes of data or reindexing.
The Cloud Healthcare API bridges the gap between care systems and applications built on Google Cloud. By utilizing this API, it becomes possible to ingest industry-standard data formats like FHIR and HL7v2, enabling advanced utilization for analytics in BigQuery and machine learning.
Starting December 2025, the Cancer Detection Center (CvKO) will automatically provide results from reimbursed screening swabs to electronic medical records (EMD). This data linkage uses the FHIR standard and is limited only to the healthcare institution where the patient's primary care physician practices.
This guide demonstrates how to process clinical data in Fast Healthcare Interoperability Resources (FHIR) format using Google Cloud's Cloud Healthcare API. By deleting or modifying Personally Identifiable Information (PII) and Protected Health Information (PHI), users can prepare the data for analysis and research while protecting patient privacy.
This paper introduces FHIR Lens, an interactive graph-based platform designed to address the challenge of exploring complex relationships within Electronic Health Record (EHR) data. By leveraging FHIR resources as RDF and utilizing SPARQL for dynamic querying, it enables deep semantic exploration.
IMEXHS, from Colombia, developed 'Aquila+' to address the structural problem of severe radiologist shortages in Mexico. This cloud-based platform aims to improve diagnostic speed and accuracy through workflow organization, remote collaboration, and AI assistance.
Under the initiative led by the Ministry of Health and Welfare, South Korea is advancing the automatic standardization of medical data that varies across different hospitals using AI technology. This aims to reduce manual labor in data processing and improve overall data quality.
Appian, alongside Ignyte Group, announced success in the HL7 AI Challenge, achieving enhanced health data interoperability using AI. Their 'Bring AI to Work(flow)' solution integrates AI into patient and operational workflows, aiming for improved efficiency and cost reduction.
Health Chain introduced Centaur, a FHIR-native, cloud-based data management platform. This platform helps Payers, Providers, and Integrated Delivery Systems establish longitudinal member records, aiding both regulatory compliance and quality improvement.
AWS HealthLake allows asynchronous export of healthcare data using the FHIR R4 $davinci-data-export operation. This feature supports multiple specialized export types, including ATR and PDex, enabling group-level data extraction.
This article introduces major analytics companies like Kodjin and Optum. These firms are providing solutions that integrate clinical and administrative data, ensuring interoperability to improve care quality and reduce costs.
Radiology provider Lumus Imaging has adopted Magentus's eRequests. This extends the reach of Australiaโs first Open FHIR API standards-based eRequesting solution into more diagnostic services.
NAACCR announced an informational webinar on the Central Cancer Registry Reporting (CCRR) HL7 FHIR Implementation Guide, scheduled for December 4, 2025. This guide aims to support the automated and standardized exchange of cancer surveillance data from ambulatory healthcare providers' EHR systems to central cancer registries.
This article analyzes interoperability challenges in medical imaging, arguing that the shift from the traditional messaging standard HL7 V2 to the modern API-based FHIR is essential. While V2 operates on a rigid, 'push' model for data transfer, FHIR utilizes 'pull'-based web APIs to enable AI integration and the creation of true longitudinal patient records.