HL7 has released the ValueSet specification for 'MFN Record-level Error Return,' defining concepts related to code status values for requested master file record update operations. This aims to standardize error information generated during data updates, enhancing interoperability.
Civitas Networks for Health hosted a webinar series with HL7 and various FHIR Accelerators (including Gravity Project, CARIN Alliance). The series explored how FHIR can advance health data exchange and improve interoperability in healthcare.
A team of Stanford University researchers introduced MedAgentBench, a new benchmark suite designed to evaluate the agentic capabilities of large language models (LLMs) in healthcare. It tests AI systems by requiring them to execute multi-step clinical tasks within a virtual electronic health record (EHR) environment.
G_NIUS highlights various events, noting that e-health is a rapidly expanding sector. These events provide opportunities for knowledge sharing and technological innovation, allowing participants to grasp the latest trends in digital health and connect with industry stakeholders.
CMS is implementing new regulations starting January 2026 to streamline the prior authorization process. These rules mandate improved data exchange and transparency, requiring the use of multiple FHIR-based APIs.
The Australian Digital Health Agency, in collaboration with HL7 Australia, has launched updated digital health training courses to support the implementation of FHIR. These include practical fundamentals for developers and introductory guidance for project managers.
This study comprehensively analyzes the anticancer mechanism of gambogic acid by integrating computer science and biomedicine. It proposes multidimensional strategies for overcoming traditional treatment challenges by utilizing standards like FHIR and RDF, and applying AI techniques to integrate disease information and clinical data.
HL7 has published the specification for a code system, "Living Dependency (2.3 - 1.0.0)", which identifies specific living conditions relevant to evaluating patient healthcare needs. This information is intended for use in discharge planning and is structured using FHIR standards.
CData has announced the 'FHIR MCP Server,' a read-only Model Context Protocol (MCP) server designed for Large Language Models (LLMs). This server provides an interface allowing users to query live FHIR data without requiring SQL knowledge.
A terminology server challenge, held by a working group at the German Association for Medical Informatics, demonstrated that a boundary exists between general-purpose FHIR servers and purpose-built FHIR terminology servers. This suggests that while general-purpose FHIR servers cover many domains, they are not optimized for specific terminology use cases.
PilotFish offers a solution to solve payer data exchange and interoperability issues using FHIR APIs, addressing the increasing demands from CMS initiatives. The platform builds standardized integration foundations for complex environments that rely on legacy systems and fragmented interfaces, achieving rapid partner onboarding and improved operational efficiency.
This article is a technical specification for the class HS.FHIR.DTL.vSTU3.Model.Element.TestScript.rule. This rule is designed to be used within test scripts, defining validation logic within FHIR's data structure.
InterSystems has published a data structure designed to predict outcomes related to diseases or conditions. This structure incorporates probabilistic information and temporal constraints, aiding advanced risk assessment in clinical settings.
Researchers at Asan Medical Center in Seoul developed an AI system that automatically de-identifies electronic medical records. This system can remove personal patient information (names, dates of birth, etc.) while preserving clinically vital data such as diagnoses and surgical plans.
Health First Health Plans has partnered with 1upHealth to provide an interoperability solution for electronic health records (EHR) data. This platform provides access to clinical and claims information based on the FHIR standard, offering detailed technical guidelines for developers.
Black Book Research released survey results evaluating how healthcare IT solutions are advancing patient safety, timed for World Patient Safety Day (September 17). Over 3,200 international tech users participated, assessing vendors from multiple angles including clinical outcomes and operational effectiveness.
FHIRInternationalπSRDC Software Research & Development and Consultancy Corporation; Geriatrics Department, Complejo Hospitalario Universitario de Albacete; CIBER de Fragilidad y Envejecimiento Saludable (CIBERFES), InsEnrichedSep 10, 2025
This study proposes 'FHIR-RAG-MEDS,' a system that integrates HL7 FHIR with Retrieval-Augmented Generation (RAG). The goal is to enhance personalized medical decision support by utilizing evidence-based clinical guidelines.