InterSystems announced a new partnership with Google Cloud. This collaboration integrates InterSystems HealthShare to enhance healthcare data interoperability, enabling advanced analytics and decision support using generative and agentic AI.
This article introduces and evaluates multiple engineering teams trusted to shape digital healthcare. Each company is assessed based on critical criteria such as compliance (HIPAA, ISO 27001) and security, along with proven experience in developing complex systems like EHR, IoMT, and FHIR integrations.
iEHR has published a FHIR data type profile (v1.0.0-ballot) defining the 'Health Amendment Act' (HAA) specific to Ireland. This specification establishes the structure and constraints for a particular identifier in healthcare information systems, contributing to data standardization.
Innovaccer offers a FHIR-enabled Data Activation Platform (DAP) that enables healthcare providers and payers to deliver transparent, real-time, and collaborative care based on unified patient records. The platform uses AI for data analytics and decision support, contributing to better patient-centered care by automating routine workflows and enhancing decision-making.
InterSystems announced a partnership with Google Cloud. This integrates InterSystems HealthShare with the Google Cloud Healthcare API, enhancing data harmonization and scalability. Healthcare providers can now implement generative AI and agentic AI using reliable data.
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.
PQT Health released scholarly papers showing how AI and interoperable Electronic Health Records (EHRs) can help cut costs, expand access through telehealth, and enable small practices to achieve large-system outcomes.
This study evaluates the feasibility of achieving semantic interoperability within FHIR resources by utilizing business meta-models. The research demonstrates the importance of meaning consistency and standardization in data exchange.