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FHIRInternational🏛NCQAEnrichedJan 21, 2026

FHIR Archives Showcase NCQA's Insights on Digital Quality Measurement

This page is an archive from NCQA (National Committee for Quality Assurance) that provides extensive information regarding digital quality measurement and healthcare improvement using FHIR. Through past webinars and blog posts, it shows continuous provision of information on specific technical topics such as 'FHIR utilization' and 'building digital quality measures.'

FHIR
FHIRUSAUSA🏛Health Level Seven International (HL7) / Office of the National Coordinator for Health Information Technology (ONC)EnrichedJan 20, 2026

Data Exchange Standards in Healthcare: HL7, FHIR, USCDI and What’s Next

Modern healthcare relies on seamless information sharing, which is underpinned by data exchange standards. The article discusses the roles and evolution of key frameworks—HL7, FHIR, and USCDI—that solve long-standing challenges like data silos and incompatibility.

HL7International🏛(メール詳細から取得可)EnrichedJan 20, 2026

HL7 vs FHIR for Small Clinics: A Detailed Guide

The article compares HL7 v2 and FHIR, two major standards for clinical data exchange. It explains the distinct characteristics and practical differences of both standards, providing guidance on optimal use cases within small clinics.

HL7
FHIRInternational🏛InterSystemsEnrichedJan 20, 2026

Innovations in FHIR Data Management: Insights from Ready 2025

InterSystems Developers released a video detailing advancements in FHIR data management, focusing on patient identification, clinical data enrichment, and AI-powered decision support. The session explores how FHIR, MPI, and AI collaborate to enhance interoperability and improve care quality in healthcare settings.

InterSystems
FHIRInternational🏛(メール詳細から取得可)EnrichedJan 19, 2026

Bidirectional FHIR–OMOP CDM Transformations using TermX for Real-World Data Secondary Use

This study developed and validated bidirectional data transformation rules between HL7 FHIR and OMOP CDM using the open-source platform TermX. This demonstrates a methodology for mapping clinical care data (FHIR) into standardized models suitable for secondary use, addressing interoperability challenges in digital health.

HL7FrontiersFHIROMOP CDM