Cognizant was named a Leader in the Everest Group's assessment for 'Care Management Platforms for Payers.' This recognition highlights that its solutions, addressing payer challenges like utilization and disease management, hold significant market value.
AWS HealthLake offers selectable consistency models, 'strong' or 'eventual', when searching FHIR resources. This allows developers to control the required certainty of search results based on data update status.
A new survey reveals that while FHIR-based data exchange is entering production in US Medicare Advantage plans, successful data sharing remains constrained by provider readiness and EHR vendor alignment.
A Black Book Research survey found that while FHIR-based data exchange is entering production on the payer side, significant readiness gaps among provider organizations—especially regarding EHR integration and vendor alignment—remain a major bottleneck.
A payer and a health system are collaborating to build an ecosystem for secure, standardized data sharing using HL7 FHIR standards. The goal is to reduce administrative burden while improving care coordination.
Data-Sleek, a data strategy consulting firm, has expanded its services into regulated industries, including healthcare. By building unified data warehouses compliant with standards like HIPAA and FHIR, the company aims to secure patient information while providing real-time clinical and operational insights.
Hixny has rolled out its data aggregation application, 'Snapshot NY,' statewide. This allows actionable data from the state's prescription monitoring program and health-related social needs screening tools to be directly integrated into providers' Electronic Health Record (EHR) workflows.
The CDC's NHSN has released the "ACH Monthly Encounter Status ValueSet," which standardizes codes for patient encounter statuses. Based on FHIR standards, it defines the progress of care (e.g., In Progress, Finished), aiming to enhance interoperability in medical records.
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.