HiPaaS helps payers solve CMS-0057-F compliance challenges by utilizing AI Agents. This enables the construction of a FHIR interoperability program and automates prior authorization workflows, all while maintaining existing systems.
1upHealth, a leader in health data interoperability, announced the new model '1up Gateway.' This allows healthcare organizations with existing FHIR infrastructure to easily achieve compliance with complex CMS-0057-F regulations.
The Sequoia Project published guidance encouraging healthcare organizations to transition from manual patient consent processes to automated, computable consent systems. This aims to address fragmented consent management and mitigate information blocking risks in healthcare data sharing.
Saikrishna Kavali points out that current healthcare systems fail to address challenges in infectious disease control and chronic risk management because they treat individuals separately. He proposes a FHIR-based 'Family Health Record' (FHR) framework designed to manage the entire household as a single, actionable health unit.
Data exchange is moving from a distant goal to practical application. Concrete progress in interoperability is evident through the release of USCDI+ by ONC and reports on FHIR adoption.
Pegasus One Health launched the SONG framework on July 7, 2026, designed to help healthcare organizations determine if AI agents can scale from pilot testing to full production. The framework evaluates factors beyond model accuracy, such as data source availability and FHIR readiness.
This article argues that FHIR's technical capabilities alone cannot fundamentally solve the deep-seated problem of patient identification (ID) in healthcare. As data exchange advances, record fragmentation and mismatch undermine trust, necessitating governance and data quality management beyond mere API implementation.
Large US healthcare organizations face challenges such as fragmented EHR environments across multiple facilities and difficulty integrating data for value-based care. The article outlines solutions that address these technical and operational issues using FHIR interoperability and HIPAA-compliant platforms.
This article summarizes a discussion on the US healthcare IT ecosystem. It focuses on structural and regulatory challenges, specifically addressing TEFCA's new auditing contract and the potential enforcement of information blocking rules.
SignalEDI introduces PA Bridge to address utilization management (UM) system challenges related to the CMS-0057 mandate. By creating a translation layer between FHIR and X12 278, it enables prior authorization API implementation without requiring changes to existing workflows or systems.
As AI adoption accelerates in healthcare, technology leader Vallikranth Ayyagari warns that the failure of many AI deployments stems not from the model itself, but from fundamental 'data plumbing.' Successful pilot programs often fail in real-world operation due to underlying data architecture issues.
HeartSciences, an AI-driven healthcare IT company specializing in electrocardiogram (ECG/EKG) technology, announced that its platform, MyoVista Insights™, has received certification from the Epic Toolbox for the ECG management system category. This enhances system integration within clinical workflows.
Successfully integrating AI medical coding software with EHR systems (like Epic, Cerner) requires more than simple connection. By utilizing open standards like FHIR and HL7 to ingest structured clinical data, organizations can achieve high accuracy and efficient revenue cycle management.
AnyBio and Medplum announced a joint reference architecture for biosignal-driven care programs. This integration provides an end-to-end deployable stack, from wearable devices to clinician workspaces, built over standard specifications.
The National Coordinator for Health IT (ONC) announced key standards via the 2026 SVAP, designed to significantly enhance interoperability in health IT systems. Key releases include USCDI v6 and updated FHIR-based guidelines for e-prescribing, providing a more efficient and reliable data exchange foundation.
Healthcare interoperability enables instantaneous information exchange between IT systems like EHRs, supporting optimal care for both providers and patients. This prevents redundant tests and ensures timely treatment continuity, forming the foundation necessary for AI utilization.