Search results for "FHIR": 1,661 articles
HL7 launched the 'Caliper FHIR® Accelerator' to improve data exchange from medical and personal health devices. This initiative aims to ensure that high-frequency data generated in diverse settings, such as ICUs or at home, can be safely and consistently shared with EHRs and AI platforms.
Records reads data from a FHIR server to record validation results and metadata, supporting system monitoring and governance. It does not store clinical payloads or patient data.
HL7 FHIR enables seamless interoperability by segmenting healthcare data into standardized units called 'resources.' This design facilitates real-time clinical intelligence and large-scale data analytics.
An open-source tool, MedSentinel, was developed to monitor critical patient conditions by connecting to existing HIS systems using FHIR, HL7, and REST APIs.
To overcome data silos, the healthcare sector is seeing a convergence of standardized APIs (FHIR), cloud technology, and AI. This enables advanced, real-time data analysis, shifting the paradigm from retrospective reporting to proactive, continuous clinical intelligence.
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.
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.
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.
AI tools can automate repetitive mapping tasks and detect errors in complex HL7/FHIR integration projects, significantly reducing development time. However, the article stresses that human expertise remains essential for clinical judgment and system-level design.
The World Health Organization (WHO), in partnership with organizations like the Alliance for Health Policy and Systems Research, has launched a three-year initiative across ASEAN countries. The goal is to transition from paper-based health records to secure, interoperable Digital Health Wallets (DHWs). This aims to address gaps exposed during the pandemic and improve continuity of care, especially for populations that frequently cross borders.
The WHO has released the 'ICVPSD' profile, a specification based on the FHIR standard. This document provides technical specifications for handling specific medical data, including concrete implementation examples in XML and JSON formats.
While FHIR has greatly improved data access in healthcare, the resulting information overload causes 'data fatigue.' The article explains that solving this problem requires moving beyond mere data collection to using AI to prioritize insights and embed them directly into clinical workflows, thereby generating concrete actions.
Apple will publish an FHIR API endpoint on the Health app within three days.
According to on-site interviews with healthcare leaders attending HIMSS26, the most highly anticipated topics are Artificial Intelligence (AI), FHIR/interoperability, and the quality of providers' data sets. These elements are seen as driving the future evolution of healthcare systems.
While data exchange has advanced, true healthcare system interoperability requires consistently interpreting the 'meaning' of data. FHIR plays a crucial role not only by enabling structured data exchange but also by facilitating semantic interoperability through standardized coding and terminology.