Open Nursing Core (ONC) has released a FHIR resource definition for 'Mental Capacity Assessment,' which serves as a fundamental legal safeguard in UK nursing practice. This specification details how to record observation results and associated terminologies.
Mirth Connect functions as an integration engine, enabling real-time, bidirectional healthcare data exchange by integrating with FHIR R4. This bridges established infrastructure using HL7 v2 systems with the modern FHIR API ecosystem, supporting data flow across all care settings.
This article provides a comprehensive guide detailing common technical issues encountered with the messaging hub, Mirth Connect (such as channel failures, MLLP timeouts, and FHIR authentication errors). It outlines specific root causes and expert fixes to prevent system failures and ensure rapid recovery in healthcare information exchange.
Sonai Health, a Finnish company, has been selected for the international Caelestinus Incubator program. The program focuses on developing solutions based on FHIR standards and improving interoperability in digital healthcare.
Global Information announced the sale of a market research report, 'Digital Health: Market Share Analysis, Industry Trends and Statistics, Growth Forecast (2026-2031)'. The report predicts that the digital health market will grow from approximately $347.4 billion in 2025 to $884.4 billion by 2031.
This page provides information on FHIR (Fast Healthcare Interoperability Resources), a standard designed to enable data exchange in the medical field. FHIR is highlighted as a foundational technology for achieving seamless interoperability among different systems in today's complex digital health environment.
In the rapidly transforming healthcare sector, Artificial Intelligence (AI) is evolving from a mere support tool into an autonomous 'Agentic AI.' This shift addresses structural challenges like rising medical costs due to aging populations and chronic diseases. Achieving efficiency requires data interoperability based on standards like FHIR, which will form the foundation of next-generation systems.
AI healthcare company Genosis has begun developing the 'Human Digital Twin' utilizing Amazon Web Services (AWS) cloud infrastructure. This platform aims to integrate and analyze everything from an individual's genetic data to daily biometric information, thereby predicting the risk of chronic diseases like cancer or diabetes in advance and realizing personalized preventive medicine.
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 structures—specifically, who benefits financially from data sharing. The US faces challenges where data exchange is an economic and policy problem, not just a technical one.
The Ministry of Health and Welfare (Taiwan) is holding an award ceremony and international forum to promote the digital transformation of smart healthcare. The event aims to utilize the FHIR standard to enable real-time health data linkage between different medical institutions, thereby improving efficiency and quality of care.
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.
HL7 Austria has published the specification for a FHIR Extension concerning 'Municipality' codes within Austrian addresses. This enables the standardization of detailed geographical information in healthcare data exchange, thereby enhancing interoperability.
Dedalus and Inovie have formed a strategic partnership for five years to deploy the InVitro suite. This collaboration will drive the digital transformation across Inovie's entire diagnostic process.
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.
FHIR previously limited coded elements to having only one binding. However, due to the need to support international use and complex requirements, 'additional bindings' were introduced in R5, allowing multiple terminology constraints to be attached to a single element.
This article addresses the core issues of 'data authenticity' and 'access control' within medical information systems, proposing blockchain technology as a solution. It frames data management not merely as a format issue, but as an architectural problem of trust, arguing for the necessity of a new management model using distributed ledgers.