This article details the concepts of 'Implementation Guide (IG)' and 'Profile' provided by HL7 FHIR, which are crucial for standardizing data exchange in healthcare. It uses examples like insurance claims to emphasize the necessity of common standards.
iEHR Scriptus provides electronic prescribing (ePrescription) and dispensing (eDispense) services to ensure safe and efficient medication processes. This system achieves cross-border data continuity within the EU, moving beyond local systems toward patient-centered care.
HL7 has released the code system 'Blood Product Code' which specifies types of blood products. This concept is used in the BLC segment of HL7 Version 2 messages, contributing to improved interoperability of blood product information in healthcare institutions.
This program aims for participants to build five practical applications utilizing FHIR (Fast Healthcare Interoperability Resources) over a period of 10 weeks. It focuses on acquiring broad technical skills required in the industry, such as patient apps and SMART on FHIR integrations with Epic/Cerner.
iEHR Maestro is an integrated digital health platform that combines AI-driven automation with FHIR-native design. It enables healthcare organizations to streamline clinical operations and achieve data-driven decision-making without relying on manual processes or outdated systems.
Driven by the European Medicines Agency (EMA), pharmaceutical product information is undergoing a structured transition into Electronic Product Information (ePI) using FHIR format. This aims to transform conventional unstructured documents into highly searchable, interoperable digital data, promoting safer use of medicine.
Health Level Seven International (HL7) has developed a new standard called "FHIR"® (Fast Healthcare Interoperability Resources). This standard aims to facilitate electronic health record data exchange, combining the benefits of established HL7 versions 2 and CDA with modern web standards and focusing on easy implementation.
This article explains the FHIR standard, developed by HL7 International. The standard aims to facilitate data exchange between software systems in healthcare by utilizing modular 'Resources' to define data elements and relationships across various contexts.
IASORA offers an all-in-one, AI-powered platform covering clinical documentation, patient engagement, and operational efficiency. This enables structured data output to EHRs and comprehensive workflow automation across various systems.
Microsoft defines the event data structure for when an HL7 FHIR resource is deleted. This data tracks which FHIR resource (ID, type, version) was deleted, providing crucial information for auditing and system integration.
FHIR (Fast Healthcare Interoperability Resources) is an essential technology for modern data exchange. The article emphasizes that successful adoption requires not just system integration, but a comprehensive evaluation of the organization's overall 'FHIR readiness' and careful planning.
A new Rust library, octofhir-canonical-manager, has been released to support the management and resolution of FHIR Implementation Guide (IG) packages. This tool provides fast canonical URL resolution and resource search capabilities, making it easier for developers to manage the lifecycle of FHIR packages.
HL7 FHIR is the latest digital format for healthcare data. This article explains 'FHIR Validation,' which confirms that the message's structure and content meet defined specifications, highlighting its importance in ensuring data quality during system interoperability.
A collection of tools, 'mcp-fhir-tools,' designed for handling FHIR data has been published via the Model Context Protocol (MCP). This enables major AI assistants like Claude and Cursor to access related functions and APIs, enhancing development efficiency.
This article is the first installment of a series providing an overview of HL7 FHIR (Fast Healthcare Interoperability Resources). The author, approaching the topic as a non-expert in medical IT, shares insights into the steep learning curve and practical challenges of FHIR. It presents both conceptual understanding and practical approaches for structuring medical data.
This video demonstrates the process of converting HL7 messages into FHIR resources using InterSystems IRIS. It covers specific technical procedures, such as setting up a Docker container and deploying business logic.
When patients move across multiple healthcare settings and providers, data fragmentation is a major challenge. This article explains how utilizing specialized consulting services, in addition to implementing FHIR (Fast Healthcare Interoperability Resources), can improve care continuity and the quality of data exchange.
This article aims to dispel common myths surrounding major healthcare data standards—FHIR, OpenEHR, and OMOP. It provides a comparative analysis detailing the unique strengths of each standard and offering guidance on appropriate use cases for implementation.