Anthropic expanded its Claude model's offerings in healthcare and life sciences, adding HIPAA-ready connectors and agent skills. This enables support for administrative processes and research across payer, provider, and patient workflows.
Anthropic significantly enhanced Claude's capabilities by expanding 'Claude for Healthcare' and 'Claude for Life Sciences.' This provides a suite of tools usable in HIPAA-compliant environments, enabling healthcare providers and companies to support data interoperability and clinical operations.
Researchers at Isik University developed a real-time patient monitoring dashboard compliant with FHIR R4. This platform tracks vital signs and manages clinical observations, aiming to facilitate personalized care delivery by integrating with existing Electronic Health Record (EHR) systems.
PQT Health has launched 'Dyvine EHRโข', a next-generation, AI-powered electronic health record system. The platform aims to strengthen care delivery in rural areas by integrating cloud technology and telehealth, addressing resource limitations in small clinics and hospitals.
The U.S. Department of Health and Human Services (HHS) proposed the new 'Health Data, Technology and Interoperability' rule (HTI-5). This aims to accelerate FHIR-based interoperability and revise information blocking rules by simplifying the Health IT certification program.
Anthropic launched 'Claude for Healthcare,' significantly expanding its AI model's utility in the medical and life sciences sectors. This enables connections to industry-standard databases like CMS and ICD-10, aiming to streamline clinical and administrative workflows.
When a consultant needs to view medication data from Health Cloud using FHIR standards, they should utilize the 'Clinical data model'. This model aligns with HL7 FHIR R4 and provides objects and fields necessary to store and access clinical information such as medications, conditions, and encounters.
Anthropic's 'FHIR Developer Agent skill' improves interoperability between healthcare systems via Claude Code. This skill provides specialized knowledge based on the HL7 FHIR R4 standard, assisting in clinical data validation and REST API construction.
Microsoft announced through its webinar series, โVoices of Healthcare Cloud,โ that FHIR interoperability enables low-code/no-code development. The session showcased how to utilize the Power Platform and FHIR APIs, demonstrating applications from data aggregation to achieving concrete business and clinical outcomes.
CMS is transitioning existing eCQMs to FHIR-based digital quality measures, preparing for reporting changes starting in 2026. This shift mandates moving from traditional periodic file submissions to continuous data acquisition via standardized APIs directly from EHRs.
As connected health ecosystems grow in complexity, shared infrastructure governed by common rulesโnot just individual integrationsโis required. The article explains that the Trusted Exchange Framework and Common Agreement (TEFCA) is crucial for solving interoperability challenges by providing a trust and policy layer that complements FHIR's technical mechanism.
The CMS NPI Registry publishes comprehensive provider information for physician BETHANY C DYKES MD. This data includes technical aspects crucial for health information exchange, such as multiple practice addresses and FHIR endpoint URLs.
Modern data architecture is necessary to effectively utilize the massive amounts of data generated by hospitals and health systems. The goal is to overcome siloed environments and build a reliable information foundation based on standards like FHIR.
TechVariable provides solutions using FHIR (Fast Healthcare Interoperability Resources) to achieve healthcare data interoperability without requiring the rebuilding of legacy EHR or claims systems. This helps meet CMS regulations and modernize data exchange.
Jay Nakashima, President at eHealth Exchange, discusses recent advancements in health data exchange. He highlights the potential expansion of healthcare information sharing, particularly through TEFCA and bulk FHIR data access.
The Australian Digital Health Agency is seeking feedback from software developers to improve health information sharing and strengthen collaboration. The goal is achieving seamless integration across clinical and administrative systems by guiding consistent implementation and national alignment with HL7 and FHIR standards.
This article explains data interoperability challenges within Italy's National Health Service (Servizio Sanitario Nazionale) and introduces HL7 FHIR as a solution. FHIR is an international standard designed to facilitate the exchange of medical data, which is essential for strengthening system linkage.
The Centers for Medicare & Medicaid Services (CMS) is transitioning electronic clinical quality measures (eCQMs) to digital quality measures (dQMs) using FHIR-based standards and soliciting public comment. A webinar will be held to detail this transition process and the dQM requirements.
The next-generation medical AI platform, MAIVE, enables advanced reasoning from complex clinical data using a large context window and multimodal understanding. Designed with interoperability standards like FHIR, it is expected to have high compatibility with Japanese EHR systems.