3,748 FHIR-related articles (latest first)
Health insurance funds like AOK have enabled the viewing of digital package inserts for many drugs through electronic patient record apps. This is a pilot project led by vfa, aiming to build a comprehensive database in the future. The initiative utilizes the FHIR standard for data exchange, aligning with mandatory EU-level drug information provision.
Barmer and AOK are offering package inserts digitally within an application for e-patient records.
This article describes end-to-end data migration services for healthcare IT vendors and providers. The service helps upgrade data environments by mapping and converting data using standards like SNOMED CT and LOINC, facilitating migration to FHIR-native platforms.
Patient-controlled Personal Health Records (PHR) provide the optimal foundation for AI-driven personalized care and digital health. This shift moves data sharing from institution-locked systems to patient-authorized, consent-based flows, transcending institutional silos.
Wolters Kluwer Health released a report predicting deeper adoption of artificial intelligence (AI) in healthcare for 2026. The report emphasizes that successful AI implementation requires integration into existing workflows and strong governance structures.
FHIR Adaptive Forms enhance clinical data collection by dynamically assembling questionnaires based on context. This allows for more efficient and personalized data gathering, ensuring that only relevant information is collected from patients and clinicians.
At a seminar held by Taiwan's private hospital association, Mr. Lin Yu-Xiang highlighted challenges in the digital healthcare environment regarding information integration, data utilization, security, and AI use. He emphasized the need for establishing data governance and Zero Trust security strategies based on international standards (FHIR).
Three hospitals—Taichung Zhongshan, Chang Gung, and Mackay—will achieve real-time electronic medical record interoperability by the end of this year. This breakthrough successfully converts raw patient data into FHIR format, dramatically improving the capacity for exchanging medical information between different institutions.
The Ministry of Health and Welfare is calling for applications for excellent applications compliant with the SMART on FHIR standard. The selected 50 apps will be formally listed on MOHW's 'Taiwan Medical Information Standard Platform,' supporting future AI certification and international expansion.
ZeOmega, a leading population health management organization, was recognized as the "Visionary Incumbent" in the 2025 Gartner Market Guide for U.S. Healthcare Payer Care Management Workflow Applications. This recognition highlights its continued investment and commitment to modernizing payer workflows.
This article points out that the lack of verifiable identity (such as vLEI) for organizations is a major problem when API-driven data exchange is required. Compliance with CMS-0057 requires not just technical connections, but a reliable trust infrastructure, which can automate and streamline onboarding and access decision processes.
gematik has published the 'TI Organization Types' ValueSet based on the FHIR standard. This set aims to standardize organization types (e.g., Messenger Provider, ID Provider) and enhance interoperability.
An organization submitted a detailed inquiry to German state authorities regarding the digitalization of regional healthcare information systems (Pakt-ÖGD). The questions focus heavily on open source utilization, data standardization, and transparency. Specifically, they challenge the use of proprietary software, demanding details on licensing costs, vendor lock-in avoidance strategies, and the rationale for deviating from open standards.
Google announced a partnership with the National Health Authority (NHA) in India to deploy advanced Artificial Intelligence (AI) for converting medical records into an internationally acceptable, machine-readable format. This effort is expected to improve patient understanding of their health data and inform better public health policy decisions.
FHIR (Fast Healthcare Interoperability Resources), developed by HL7 International, utilizes modern web technologies to enable the international exchange of structured medical data. This facilitates seamless interoperability between diverse systems and contributes to the advancement of digital healthcare.
At the India AI Impact Summit 2026, Google announced significant funding and collaborations aimed at advancing AI utilization in India’s healthcare sector using its Digital Public Infrastructure (DPI). Notably, collaboration with the National Health Authority (NHA) will standardize millions of unstructured medical records into FHIR format.
This guide specifies how demographic data (name, DOB, etc.) of the insured person should be handled in the electronic health record (ePA). It mandates using FHIR R4 Patient resources to structure data and outlines its usage for payers and other services.
ASSYST's FHIR®BI is a data visualization and analytics platform designed to support decision-making and improve operational efficiency within healthcare organizations. It utilizes AI/ML to generate FHIR compliant datasets and reports, making them consumable by various BI platforms such as Enterprise Data Warehouses or Data Lakes.
Google announced $400,000 funding to build India-specific health foundation models. The company also plans to convert millions of unstructured clinical notes into the global FHIR standard and support research and startups.
The PanCareSurPass Project has published mappings for the Chemo therapy logical model. These detailed mappings are based on FHIR R4 and describe associations with multiple resources, including MedicationAdministration.