Search results for "FHIR": 3,717 articles
FHIR Operations provide functionality beyond basic CRUD actions, supporting complex clinical workflows such as validation, terminology management, and patient identity matching. This facilitates a transition from simple data exchange to safe and high-quality clinical processes.
In healthcare data exchange, intermediaries manage transactional functions and data flows between payers and providers. This content discusses common failure patterns observed in live operations and the necessity of testing for regulatory compliance, which cannot be captured by sandbox environments.
This session focuses on the role of FHIR in healthcare data standardization. Speakers raise the question of whether FHIR will become the infrastructure for all of Europe, moving beyond mere technical success. The discussion highlights that achieving seamless data exchange and faster innovation requires coordinated execution among payers, providers, and vendors.
Following the announcement at Google I/O 2026, AI glasses are viewed not merely as wearable devices but as a new interface connecting HIS and EHR. The article outlines various clinical applications and technical integration challenges (such as FHIR) while providing strategic action plans for hospital CIOs.
The eHealth Infrastructure of Denmark has provided operation examples for the FHIR resource profile, 'ehealth-group-videoappointment'. This technical specification is based on HL7 FHIR and is designed to structure and exchange group remote consultation appointment information.
HL7は、DiagnosticReportリソースに関する「Europe Base and Core FHIR IG」v2.0.0を公開した。これは、HL7 Europe BaseおよびCore（STU 2）に基づき、FHIR R4を採用している。この仕様書は、診断レポートの構造化データ交換のための技術的なリファレンスを提供する。
The eHealth Infrastructure in Denmark has released version 8.0.0, which is based on the FHIR standard. The page indicates that this version will be superseded by a newer 9.0.1 version. Technical details, mappings, and examples in XML/JSON formats are provided.
The Taiwan Medical Materials Association, in collaboration with institutions like ITRI (Industrial Research Institute), has launched the 'AI Smart Healthcare Data Platform.' This platform is designed to be the first of its kind, using FHIR as a core international standard to connect medical equipment data, clinical care information, and AI applications.
The Taiwan Medical Materials Association, in collaboration with institutions like ITRI, is promoting the 'AI Smart Healthcare Data Platform.' By using the international standard FHIR as its core, it aims to accelerate smart healthcare innovation by integrating and sharing diverse medical data.
Black Book Research released findings from its 2026 survey on Italian acute care EHR/HIT usage. The report highlighted that ensuring national clinical data utility is hampered by regional disparities and the need for structured, searchable diagnostic data.
Modern healthcare organizations are advised to adopt an architecture combining a Data Warehouse (DWH) and a Data Lake. This approach enables both reliable operational decision-making and advanced AI analytics by utilizing massive volumes of data from sources like EHRs and lab systems.
Successfully integrating AI medical coding software with EHR systems (like Epic, Cerner) requires more than simple connection. By utilizing open standards like FHIR and HL7 to ingest structured clinical data, organizations can achieve high accuracy and efficient revenue cycle management.
AnyBio and Medplum announced a joint reference architecture for biosignal-driven care programs. This integration provides an end-to-end deployable stack, from wearable devices to clinician workspaces, built over standard specifications.
This article explains the implementation pipeline required to integrate an AI predictive model—specifically, one predicting length of stay (LOS)—into real-time hospital systems, utilizing the international standard HL7 FHIR. This aims to achieve healthcare efficiency through AI utilization.
The National Coordinator for Health IT (ONC) announced key standards via the 2026 SVAP, designed to significantly enhance interoperability in health IT systems. Key releases include USCDI v6 and updated FHIR-based guidelines for e-prescribing, providing a more efficient and reliable data exchange foundation.
Healthcare interoperability enables instantaneous information exchange between IT systems like EHRs, supporting optimal care for both providers and patients. This prevents redundant tests and ensures timely treatment continuity, forming the foundation necessary for AI utilization.
A survey of 101 experts across 63 countries shows that FHIR has evolved from a mere standard into critical global infrastructure. Crucially, the advancement of AI is seen not as a threat, but as a catalyst driving deeper investment in structured data (FHIR), which is increasingly mandated by regulations and adopted nationally.
AnyBio, a biosignal infrastructure platform, and Medplum, an open-source FHIR-native developer platform, announced a joint reference architecture for biosignal-driven care programs. This integration enables the deployment of end-to-end systems based on standards, from wearable devices to clinician workspaces.
This article introduces a reference architecture built on Oracle Cloud Infrastructure (OCI) designed to handle bursty traffic while optimizing costs for HL7, EDI, and FHIR data processing. This approach aims to reduce risks associated with delays in healthcare data intake and transaction processing.
The National Health Authority (NHA) has upgraded the app 'Aarogya Setu 2.0' using Google’s open-source AI model, Gemma 4, and its Medical Data Toolkit. This allows users to automatically generate comprehensive, standardized health record profiles from unstructured medical reports.