1,063 FHIR-related articles (latest first)
HL7 has launched an 'AI office' to establish standards for trustworthy artificial intelligence (AI) in healthcare. This initiative aims to create reliable and ethical frameworks as AI technology transforms the medical field.
Addressing interoperability challenges in social welfare, DirectTrust proposes a FHIR-based approach. Recognizing the strong link between health and Social Determinants of Health (SDOH), it recommends exchanging FHIR resource attachments as an 'on-ramp' for existing non-standardized systems.
FHIR, a standard developed by HL7, facilitates data exchange. Combining this with the security layer of SMART on FHIR enables third-party applications to be embedded into major EMR systems like Epic, improving healthcare data utilization and care quality.
The U.S. Department of Health and Human Services (HHS) announced a new initiative aimed at fundamentally improving the 'prior authorization process' across various insurance plans, including Medicare Advantage. The plan focuses on digitalization and standardization to reduce the burden on healthcare providers.
Smile Digital Health, utilizing a FHIR-based data platform, became the first vendor to receive validation from NCQA for its dQM solution supporting digital HEDIS measures. This marks a significant step toward high-quality care in the U.S.
Zyter|TruCare announced the release of its latest platform, TruCare 25.1. This version incorporates artificial intelligence (AI) for prior authorization intake and offline mobile capabilities, aiming to reduce administrative burden and improve operational efficiency.
MITRE released the Node on FHIR v3 code, making an early preview available. Project HONEYCOMB is a DApp template designed for building healthcare-compliant applications that adhere to HIPAA/TEFCA standards. This platform supports integration with LLMs and Langchain.
The 21st Century Cures Act mandates standardized, effortless access to electronic health information via SMART/HL7 Bulk FHIR APIs. However, early real-world implementations show significant performance gaps that require technical and operational solutions.
Health-tech company ReVessel announced the development of the world's first digital twin of human blood. This AI-powered platform simulates each individual's blood state in real time, providing advanced clinical decision support based on multi-faceted data.
This tutorial aims to educate attendees on the HL7 FHIR specification and the current state of healthcare interoperability. Participants will learn about FHIR resource structures, data modeling techniques, and explore the potential for AI integration in medical data analysis and decision support.
This article introduces technical component examples for HL7 and FHIR provided by IBM. It specifically details methods for achieving interoperability, such as NCPDP-SCRIPT/HL7 mapping and the conversion of Da Vinci PAS bundles to HIPAA EDI transactions.
Greenway Health utilized AWS HealthLake to overcome limitations in its existing Electronic Health Record (EHR) system, which struggled with scalability and data processing. This established a high-performance data integration and analysis foundation using FHIR API within a HIPAA-compliant environment.
Greenway Health migrated its Electronic Health Record (EHR) system to AWS HealthLake. This enabled the secure management and analysis of large volumes of data in a HIPAA-compliant environment, significantly improving service performance and innovation capability.
CHRISTUS Health implemented an automated system using FHIR-based technology to streamline medical record retrieval. This initiative significantly reduced average processing times and achieved 88% automation, improving operational efficiency and user satisfaction.
This article explains the critical importance of SMART on FHIR, a robust framework for securely and effectively deploying healthcare apps embedded within Electronic Health Records (EHRs). In today's clinical environment, where simple data retrieval is insufficient, this technology is essential for improving interoperability, compliance, and user adoption rates.
G10 certification, mandated by the ONC, requires health IT systems to provide standardized and secure APIs based on FHIR and SMART on FHIR. This critical compliance requirement aims to enhance interoperability and strengthen patient data access.
Apple is requiring healthcare organizations to upgrade their FHIR API endpoints from version DSTU2 to R4 to provide patients access to clinical records. This process mandates verification by the EHR vendor and subsequent review by Apple.
Healthcare systems often rely on data locked in outdated HL7 v2 or v3 formats. This article explains how leveraging AI can streamline this complex conversion process, enabling migration to the modern interoperability standard, FHIR.
The Centers for Medicare & Medicaid Services (CMS) announced the 6th annual 'HL7ยฎ Fast Healthcare Interoperability Resources (FHIRยฎ) Connectathon,' scheduled for July 15โ17, 2025. The event aims to be a collaborative forum for learning, testing, and innovation focused on improving interoperability between healthcare payers and providers.
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