OpenEMR, an open-source EHR, enhances its FHIR support to facilitate real-time data exchange and extensibility, supporting data-driven decision-making in healthcare. This improves clinical and operational continuity and efficiency, aligning with the trend of integrating FHIR APIs across systems by 2025.
This article explains the critical importance of 'Interoperability' for handling massive healthcare data, detailing its role in enabling information sharing between systems. It introduces major standards like HL7 and FHIR, outlining their respective functions and use cases for developers.
This article introduces the Model Context Protocol (MCP) server implementation compatible with Azure Health Data Services (AHDS) FHIR. This service provides a standardized interface for interacting with FHIR servers via MCP tools, enabling healthcare data operations.
The healthcare agent orchestrator, available in Azure AI Foundry Agent Catalog, enables advanced AI workflows by connecting with Electronic Health Record (EHR) systems. It utilizes standards like HL7 FHIR to support multi-disciplinary coordination and data analysis in clinical settings.
This system securely fetches patient data from Electronic Health Records (EHRs) using the SMART on FHIR standard, then exposes it through a set of tools via the Model Context Protocol (MCP). This enables Large Language Models (LLMs) and AI agents to safely perform searches and analyses based on diverse EHR data.
Firemetrics advocates that a single, FHIR-based Clinical Data Repository (CDR) provides healthcare providers with a foundation to utilize high-quality data for both clinical care and research. This eliminates data silos and accelerates innovation and real-time analytics.
CData has released a read-only Model Context Protocol (MCP) server that allows querying live FHIR data using natural language. This enables Large Language Models (LLMs) to access FHIR data without requiring SQL knowledge, facilitating applications like clinical decision support.
Digital health company Firely provides the necessary software and expertise to implement FHIR (Fast Healthcare Interoperability Resources). Having been involved since the early stages of FHIR standardization, the company supports advanced data systems globally, including governments and hospitals.
CData has released a read-only Model Context Protocol (MCP) server that allows Large Language Models (LLMs) to query FHIR data using natural language. This enables developers to access live FHIR data without needing SQL knowledge.
MedsEngine, a chronic disease management software provider, announced that medical practices using its Cholesterol and Type 2 Diabetes modules could generate up to $30,000 in additional annual revenue. This potential revenue is based on adherence to clinical guidelines and improved operational efficiency.
This article explains that APIs in healthcare function not merely as a connection layer, but as a 'core control layer' defining data structure and access control. It states that an approach based on FHIR standards achieves consistency and scalability in complex integrations, directly leading to business outcomes.
Despite bipartisan support for patient data ownership, healthcare interoperability remains elusive. The report analyzes structural and cultural barriers to semantic data sharing, proposing a strategic shift that treats data as infrastructure rather than merely connecting systems.
Apple has published a guide detailing the process for healthcare organizations to register FHIR API endpoints, based on their Electronic Health Record (EHR) system information. This allows developers to register organizational details and, after testing, provide services for secure healthcare data interoperability.
This document details the mapping specifications for the `ehealth-servicerequest` resource profile within the eHealth Infrastructure. It outlines how this resource maps to various industry standards, including HL7 v2, HL7 v3 (RIM), FiveWs patterns, and QUICK.
This article reveals the code structure of a 'SMART on FHIR Tutorial App' utilizing FHIR standards. The application features a basic web interface designed to display medical information such as patient names and medication lists.
Connecting to the FHIR Adapter using Oracle Integration requires multiple advanced security and authentication settings, including OAuth, SSL endpoints, and JWT assertions. These are mandatory steps for a client application to establish access to resource servers.
IHE has published a Resource Profile called 'Pain Severity Reported observation' based on FHIR R4. This defines the structure of observation data used in the Mobile Antepartum Summary, aiming to standardize information regarding pain severity.