3,756 FHIR-related articles (latest first)
The CDC released the Implementation Guide (IG v2.0.0) for the National Healthcare Safety Network's (NHSN) Digital Quality Measures (dQM) Content Package. Based on FHIR R4, this guide defines data structures and reporting rules for various quality metrics, supporting high-quality reporting.
The CDC published implementation guidelines for the FHIR-based 'DiagnosticReport' as part of its NHSN Digital Quality Measures (dQM) Content Package. This provides a standardized format for reporting medical data, aiding in improving data quality in clinical settings.
SMART on FHIR is an open framework that enables healthcare applications to securely connect to EHR systems and exchange data. This prevents data silos, improving clinical efficiency and patient empowerment in real-world settings.
The CDC defines a system through NHSN enabling acute care hospitals (ACH) to electronically report specific healthcare data monthly. This system uses FHIR standards, defining multiple actors and use cases to facilitate comprehensive quality measure evaluation and reporting.
Opala and Firely presented strategies for viewing the regulatory obligation of CMS-0057-F not merely as a hurdle, but as an opportunity for growth. The webinar detailed how a phased approach can improve workflows and build long-term interoperability.
athenahealth advocates for moving beyond the 'polling' method in healthcare information exchange using FHIR Event Notifications. This enables immediate access to critical information, such as lab results or appointment changes, facilitating faster and more efficient care delivery in clinical and administrative settings.
Regional Health Information Exchanges (HIEs), such as those in Michigan, are crucial for the success of the U.S. Centers for Medicare & Medicaid Services (CMS) Health Technology Ecosystem initiative. They complement national standardization efforts by providing local governance and trust necessary to achieve true interoperability.
HealthEdge offers secure data exchange solutions via its GuidingCare platform, based on the HL7 FHIR standard. This enables healthcare organizations to resolve data silos, achieve high-quality member care, and improve operational efficiency.
Stanford Health Care launched 'ChatEHR,' an AI chat interface integrated into its EHR system. This tool demonstrates a model for utilizing generative AI in clinical settings by allowing medical staff to query patient records.
Data technology provider InterSystems announced a strategic partnership with Google Cloud. This aims to deeply integrate InterSystems HealthShare with Google Cloud's medical APIs, building a unified data foundation for utilizing generative and agentic AI.
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PQT Health released scholarly papers showing how AI and interoperable Electronic Health Records (EHRs) can help cut costs, expand access through telehealth, and enable small practices to achieve large-system outcomes.
This study evaluates the feasibility of achieving semantic interoperability within FHIR resources by utilizing business meta-models. The research demonstrates the importance of meaning consistency and standardization in data exchange.
Users on Google Skills are sharing their experiences and evaluations regarding the topic 'Ingesting FHIR Data with the Healthcare API'. Multiple users posted reviews at various times, such as four months ago, noting that the process requires time for troubleshooting and internalization.
The HL7 FHIRยฎ Camp will be held in Portugal from October 22 to 24, 2025. Attendees can learn about the evolution of the FHIRยฎ community, sharing ideas and networking through technical debates and connections.
SA Pathology is advancing the construction of a more efficient and patient-centric diagnostic process by implementing electronic pathology request systems and utilizing FHIR standards, overcoming traditional challenges of being 'application-centric'. This achieves reduced data entry effort and improved continuous care in clinical settings.
Providence and Humana have launched a new data exchange program aimed at improving value-based care. The initiative seeks to enable secure, standardized sharing of clinical data, strengthening coordination between providers and payers.
Rhapsody, a global leader in digital health enablement and interoperability, launched its dedicated API management solution, API Guardian. This product aims to help healthcare organizations achieve secure, low-complexity data exchange for the AI era by unifying diverse APIs and existing interfaces like FHIR and HL7.
Google Cloud provides technical reference information on utilizing the Cloud Healthcare API to handle multiple standards, such as converting HL7v2 to FHIR and converting FHIR to OMOP. This allows EHR data and research data to be utilized in a unified format.
This article details how to build a semantic search-enabled vector repository for FHIR healthcare data using InterSystems IRIS as the foundation, leveraging Python libraries like IRIStool. It explains creating schemas for various FHIR resources (e.g., Patient) and storing embedding vectors to enable advanced natural language querying.