AirGate Technologies offers an integrated data analytics solution combining Azure Health Data Services and Azure Synapse. This enables healthcare providers and payers to analyze data from multiple, disparate systems, aiming for personalized care delivery and cost reduction.
As Artificial Intelligence (AI) expands into healthcare, challenges related to data acquisition, interoperability, and privacy are emerging. Solving these issues requires building a standardized 'single data platform' that integrates data from multiple sources.
A new fog-computing medical data gateway, the B-Health IoT Box, successfully demonstrated its ability to harmonize large volumes of health and well-being data from diverse devices. This marks a significant step toward building interoperable digital health ecosystems by addressing fragmented data streams and incompatible protocols.
Talend Data Mapper supports the import of FHIR specifications. For performance reasons, certain elements may be ignored during this process, but they can easily be recreated afterward.
Te Aho o Te Kahu has published a FHIR ValueSet defining the clinical N stage for female genital corpus uteri sarcoma, based on the AJCC cancer staging manual (8th edition). This resource standardizes the regional lymph node status (cN) before treatment initiation, aiding medical information exchange.
Equideum Health has introduced FHIRBlocks, a solution that enables fine-grained consent management for health data. This allows developers to rapidly build new applications while reducing compliance risks for organizations like providers and payers.
This article emphasizes that digital health companies must build scalable FHIR integration infrastructure capable of supporting multiple EHR vendors and emerging AI use cases. Early adoption is crucial, transforming the capability from a one-off IT project into a long-term competitive advantage.
The regular issuance of e-prescriptions for the Federal Police (BPol) is expected to begin in January 2026, delayed from its original October 2025 start date. This delay is attributed to incomplete technical prerequisites and workflow implementation, making paper prescriptions currently recommended.
Firely released .NET SDK 6 to address challenges in handling FHIR data. This version unifies two previously separate data models, POCO and ITypedElement, creating a more flexible and future-proof structure.
Google has accelerated its development cycle, releasing an early preview of Android 16. This update includes features such as the ability for medical apps to read and write health data using the FHIR standard, which is relevant to building electronic patient record systems in Japan.
An event organized by BCS discussed the challenges of digitalizing social care. It highlighted how utilizing FHIR, a standard for healthcare information exchange, can provide solutions for improvement in this complex domain.
The communication service 'KV-Connect,' provided by kv.digital GmbH, has been discontinued. Consequently, data transmission for medical institutions must now primarily use KIM (Kommunikation im Medizinwesen).
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.
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.