IMAT Solutions highlights the critical importance of 'Bulk FHIR' for large-scale data exchange. Beyond simple data extraction (Export), a new concept called 'Bulk Submit' is emerging, creating a more flexible and scalable interoperability framework.
The Tuva Project has released clean clinical data transformation models compatible with dbt and SQL-on-FHIR. This facilitates FHIR-based analytics and terminology usage, contributing to advanced data pipeline construction.
Based on the author's experience at HIMSS 2026, the article argues that true interoperability is hindered not merely by technology (like AI), but fundamentally by the underlying incentive structuresโspecifically, who benefits financially from data sharing. The US faces challenges where data exchange is an economic and policy problem, not just a technical one.
HeartSciences announced that its platform, MyoVista Insights, received the Epic Toolbox designation. This allows the platform to integrate into existing EHR workflows within the ECG Management System category.
This article details the technical process of using Google Health Connect SDK to extract raw data from multiple wearable devices and transform it into the industry-standard FHIR format. This approach solves data silo issues, enabling the construction of highly interoperable health information systems usable by any medical system.
An open-source AI agent logged into Epic's patient portal, 'MyChart,' granting access to patient data. This capability surpasses traditional FHIR-based APIs and TEFCA services, highlighting the urgent need for broader EHR integration strategies.
Function, a Texas-based healthtech startup, partnered with Perplexity Health to introduce an AI connector. This integration allows users to unify fragmented medical data, such as lab results and clinical summaries, accessing personalized, data-driven health insights on a single platform.
athenahealth has released event-driven APIs, continuing its investment in the developer ecosystem. This upgrade improves upon previous complex data retrieval methods, signaling a new phase of competition among EHR platforms.
Perplexity AI launched 'Perplexity Health,' integrating diverse personal health data from sources like EHRs and Apple Health into its AI search engine. The goal is to provide users with personalized, context-aware health insights.
FHIR (Fast Healthcare Interoperability Resources) standardizes data sharing between lab systems and hospitals/research institutions, eliminating the need for custom interfaces. This ensures that lab data can follow patients and be used consistently across entire medical records.
AWS HealthLake allows users to check the status of previously submitted pre-authorizations through a standardized FHIR-based workflow. The `$inquire` operation, based on the Da Vinci PAS Implementation Guide, uses application details and patient information to retrieve the current authorization status.
Perplexity AI has partnered with b.well Connected Health to provide personalized health insights by securely connecting individual electronic medical records to its AI search platform. This integration combines data from Apple Health and various wearables, aiming to deliver more accurate, context-aware information based on personal profiles.
Reveleer offers a 'Clinical Data Repository' to centralize medical records across an enterprise. This eliminates redundant chart retrieval and enables efficient data utilization for diverse programs like risk adjustment and quality improvement.
Google announced that the Fitbit AI coach will gain the ability to read users' medical records. This allows it to provide more comprehensive and personalized health advice by combining data from wearable devices with clinical information.
A&I provides solutions using HL7 FHIR and API-driven architecture to unify siloed healthcare data, enabling real-time interoperability. This helps reduce manual data entry and accelerates information sharing across departments.
Sundhed.dk has published the FHIR structure definition specifying how to handle 'registration deadline' in electronic health records. This definition targets resources conforming to specific profiles and provides technical details regarding extension elements and date/time value handling.
CCN Health integrates with Epic EHR using FHIR R4 APIs to support remote care programs like RPM and CCM. This enables the bidirectional, standardized synchronization of vital sign data and billing documentation within the EHR, helping reduce the burden on care teams.
This article provides a guide on selecting an HL7 integration engineโa mission-critical component of healthcare data infrastructure. It analyzes major options like Mirth Connect, Rhapsody, and Cloverleaf, detailing the current market complexity following licensing changes in 2025. The piece outlines key characteristics and decision criteria for each engine (including Mirth and BridgeLink).