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.
A group of major health insurers pledged to streamline and improve the prior authorization process to the U.S. Department of Health and Human Services (HHS) and Centers for Medicare & Medicaid Services (CMS). This effort aims to provide patients with faster access to appropriate care and allow providers to benefit from more efficient workflows.
Addressing interoperability challenges in the US healthcare system, CMS introduced regulations (CMS-0057-F). This mandates that payer prior authorization processes must integrate data conversion between legacy X12 and modern FHIR standards.
Key members of Vicerion Corp (Aaron Morgenstein, Bill Henry, Shawna Koch Bronski) emphasize the importance of clinical insight, technical strategy, and governance in healthcare IT. They contribute to building virtual care models through data standardization and AI utilization.
Gaine Technology was named a Sample Vendor in the 2025 Gartnerยฎ Hype Cycleโข for U.S. Healthcare Payers. This marks its second consecutive year of recognition, highlighting its inclusion in two critical categories: Health Data Management Platforms and Provider Data Management.
The U.S. Department of Health and Human Services (HHS) and Centers for Medicare & Medicaid Services (CMS) announced a sweeping initiative to streamline prior authorization processes across both public and private health insurance plans. Major insurers like Aetna and Humana pledged reforms aimed at improving access to care through electronic standardization.
CMS has announced new regulations (CMS-0057-F) mandating data sharing between patients and healthcare providers, utilizing FHIR APIs. This shift moves beyond traditional data linkage toward on-demand B2B/B2C data exchange.
Multiple US Senators and Representatives (including Warner, Marshall, etc.) issued a joint statement following an announcement from HHS and CMS pledging to ease the Medicare Advantage prior authorization process. This legislation aims to improve healthcare access by introducing digitalization and real-time response capabilities.