AnyBio, a biosignal infrastructure platform, and Medplum, an open-source FHIR-native developer platform, announced a joint reference architecture for biosignal-driven care programs. This integration enables the deployment of end-to-end systems based on standards, from wearable devices to clinician workspaces.
Healthcare data is siloed and difficult to utilize. This article compares and introduces key healthcare analytics platforms required in 2026, which feature FHIR interoperability and advanced AI capabilities.
Many healthcare AI deployments fail not due to model flaws, but because of architectural shortcomings. Key issues include 'integration debt' and 'data drift,' which arise when multiple tools read from and write to the same data.
API Evangelist discusses the Cerner Millennium (now Oracle Health) FHIR R4 API, arguing it must be understood as a sequence of workflows rather than just a list of resources. The article details three specific workflows, including patient retrieval and clinical data write-back.
AnyBio and Medplum launched a joint reference architecture for biosignal-driven care programs. By integrating wearable device data with clinical workflows using the FHIR Observation resource, they significantly reduce deployment time from months to weeks.
This article addresses the challenges of traditional static Clinical Decision Support Systems (CDSS) within multi-site U.S. healthcare groups, such as functional fragmentation and difficulty integrating heterogeneous systems. It proposes a comprehensive implementation roadmap based on socio-technical integration to guide AI utilization.
This article presents a practical architecture demonstrating how to extract clinical and operational data from Epic EHR's FHIR format. It details using .NET and Azure Data Factory (ADF) to process the data into near real-time dashboards viewable via Power BI, specifically addressing API rate limit constraints.
Oracle Health has published the FHIR API endpoint specifications for the Specimen resource within its AI application suite. This specification defines how specimen information—used for diagnostic and environmental testing—is collected, maintained, and processed, encouraging developers to begin implementation in anticipation of production availability.
FitsPro utilizes an HL7-compliant FHIR data model to ensure high compatibility with existing systems. This allows for the bidirectional exchange of patient information and diagnostic results in a standardized format.
Innovaccer has signed a Strategic Collaboration Agreement (SCA) with AWS. This partnership aims to accelerate the transition of agentic AI from pilot phases to production-grade deployment, utilizing services like Amazon Bedrock and AWS HealthLake for FHIR-native data access.
Hixny, a credible health information exchange platform in New York State, and medent, an EHR system provider, have completed integration using SMART on FHIR. This allows clinicians to directly access comprehensive patient health records and diagnostic data across the entire state of New York within their existing EHR workflow.
Hixny, a New York State credible health information exchange platform, partnered with electronic medical record system provider medent to complete integration using SMART on FHIR. This allows clinicians to access statewide patient data directly within existing Electronic Health Record workflows via the 'Snapshot' application.
Healthcare AI pioneer Innovaccer announced a multi-year strategic collaboration with Amazon Web Services (AWS). This partnership aims to accelerate the transition of AI agents from pilot phases into production-grade deployment, tackling systemic operational waste.
Hixny, a health information exchange provider in New York, and medent, an EHR system provider, announced the successful rollout of Hixny's Snapshot app within the medent platform following a pilot integration. This allows clinicians to access comprehensive patient histories and statewide data directly within their existing workflow.
The 'Browse Code Systems' page, provided by the National Institutes of Health (NIH), offers comprehensive functionality for referencing and managing diverse medical code systems. Users can search and verify information related to diseases, drugs, and procedures based on various standard specifications such as UMLS and LOINC.
ProjectLeo launched an AI patient advocacy app for iOS. The application provides comprehensive, single-platform services including medical record interpretation, appointment assistance, and appeals against insurance denials, while ensuring strict user data protection.
CRISP Shared Services (CSS), a national non-profit organization, will take over the Florida Health Information Exchange platform managed by the Florida Department of Health. The new platform is set to launch fully on July 1, 2026, aiming for statewide interoperability improvement and healthcare service transformation.
ProjectLeo launched 'Leo,' an independent AI platform for patients and caregivers. The app provides comprehensive support for navigating complex healthcare systems, including appointment management, understanding medical records, and appealing insurance denials.