3,748 FHIR-related articles (latest first)
IBM released App Connect for Healthcare 13.0.1, providing advanced message processing and data analysis capabilities supporting major standards like HL7 and FHIR. This facilitates information exchange and data extraction/utilization across diverse healthcare systems.
Ascension Health aims to solve complex healthcare challenges by utilizing micro-applications embedded in workflows, advancing data integration based on the FHIR standard. This achieves advanced information sharing and decision support beyond mere system linkage, reaching 'platform level' interoperability.
This article explains how to integrate data for electronic health record exchange using the HL7 FHIR standard. By utilizing the 'FHIRValidate' node within IBM App Connect for Healthcare, users can validate if incoming messages are valid FHIR resources and perform conversions between XML and JSON.
This system helps healthcare professionals efficiently access and interpret patient data scattered across multiple clinical systems, such as Snowflake databases and Epic FHIR. Using natural language queries, the AI retrieves, analyzes, and compiles the results into a comprehensive report.
UST provided a real-time, automated provider data exchange solution compliant with the FHIR standard to a large health insurance association. This resolved critical issues such as manual data conversion and operational delays inherent in the previous system, enabling rapid analysis and decision-making.
This study developed 'Wirachain,' a decentralized application integrating HL7 FHIR standard with blockchain technology, aiming to solve clinical data interoperability challenges. It demonstrated that secure and continuous clinical data exchange is possible while allowing patients to manage access permissions.
Stratevora offers a comprehensive service for independent hospitals, spanning from diagnosis to implementation and continuous intelligence. This process uses AI analysis to identify challenges in the revenue cycle and achieve measurable revenue improvement.
HDIG offers a platform utilizing FHIR APIs, which serve as the foundation for interoperability. This enables secure exchange of diverse healthcare data, such as EHRs and insurance information, achieving operational efficiency and patient-centered care.
Stanford Health Care adopted InterSystems IRIS for Health and developed the medical AI application, ChatEHR. By utilizing an HL7 FHIR store, it significantly accelerated the collection and analysis of information from large-scale heterogeneous data sources, reducing processing time from minutes to seconds.
Informatica's Intelligent Data Management Cloud (IDMC) integrates scattered healthcare data from multiple systems, creating a unified 'golden record.' This enables clinicians to access complete patient information quickly, improving care quality and ensuring data reliability.
According to German radiologists, recent health crises have exposed systemic vulnerabilities. They emphasize that achieving a robust healthcare system requires seamless data utilization and digital networking.
The Centers for Medicare & Medicaid Services (CMS) is accepting public feedback on draft Fast Healthcare Interoperability Resources ยฎ (FHIRยฎ) Digital Quality Measures (dQMs). This effort aims to utilize FHIR, the next-generation standard for electronic healthcare data exchange, to improve interoperability across clinical settings.
Black Book Research published a 2026-2027 report analyzing that healthcare procurement is shifting from applications to 'data itself.' OpenEHR, combined with HL7 FHIR, is emerging as a key platform for maintaining AI-usable longitudinal clinical records.
In HAPI FHIR, developers can use an Interceptor mechanism to 'intercept' messages during the process (pipeline) when an application sends a request to the FHIR server. This allows for adding custom functionality, such as enhancing authentication or logging.
SRDC participated in the Radical Health Festival and Finnish Health Data Hackathon held in Finland. The team shared their hands-on experience implementing computable clinical guidelines and clinical decision support services using an FHIR-based interoperability layer.
SAP and Fresenius are collaborating to build a secure, sovereign environment for the deployment of AI in healthcare. Their goal is to transition isolated pilot projects into reliable, fully operational systems within hospitals.
While companies like OpenAI and Anthropic offer large language models (LLMs) for healthcare, the article argues that mere algorithms are insufficient. Achieving true clinical impact requires end-to-end systems incorporating regulatory compliance and comprehensive data integration.
Health Chain provides Centaurโข, an FHIR-native health data platform, to support clinical quality improvement and reporting. This platform serves as the foundation for achieving real-time digital quality measures (dQM).
Patient logistics company VectorCare announced the launch of a new infrastructure platform, SoFaaSโข. This dramatically accelerates how healthcare vendors and suppliers can build and deploy applications embedded within Electronic Health Records (EHRs).
CapMinds provides FHIR and HL7 integration services for the OpenEMR system to enable standardized data exchange. This approach supports everything from legacy HL7 workflows to modern FHIR APIs, ensuring reliable connectivity with multiple external platforms and maintaining data consistency.