Search results for "FHIR": 1,661 articles
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.
本記事は、医療情報交換標準であるFHIRにおける基本単位「Resource（リソース）」について解説している。PatientやObservationなど主要なリソースに加え、StructureDefinitionやCodeSystemといった技術的なリソースも紹介し、各フィールドの構造、データ型、および制約条件を深く掘り下げている。
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.
長庚医療財団は2025年7月19日にマレーシアの檳城で開催された「健康講座暨AI智慧医院研討会」にて、台湾におけるAI医療やスマート病室などの成功事例を発表した。このイベントを通じて、台湾の高度な医療技術と国際的な協力モデル構築を目指している。
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.
FHIR (Fast Healthcare Interoperability Resources), developed by HL7, utilizes RESTful APIs to solve traditional system integration challenges. This enables data interoperability and utilization across diverse fields—such as patient access, clinical decision support, and public health reporting—facilitating the realization of a sophisticated healthcare ecosystem.
The article emphasizes that dental clinics must select appropriate CRM systems to cope with tightening regulations (mandatory electronic medical record submission to EGISZ) and increased market competition. Crucially, the system must support HL7/FHIR standards, cloud architecture, and comprehensive analytics.
The `pathling` package in R demonstrates the use of the function `ds_write_ndjson` to write structured data, such as FHIR resources, into a directory of NDJSON files. This provides a technical method for efficiently splitting and saving large datasets.
This article details the technical specification for the 'Permission' resource, which defines access rules for data within electronic health record systems. This resource provides a mechanism to control who can access data and under what context.
This Google Skills Boost page aggregates numerous user reviews regarding the topic, 'Streaming HL7 to FHIR Data with Dataflow and the Healthcare API.' The content primarily consists of general user feedback rather than detailed technical implementation or background information.
FHIRWorks is a free Chrome add-on designed to help healthcare professionals and developers easily understand and verify the capabilities of HL7 FHIR systems. By using this tool, users can efficiently assess the conformance of various FHIR implementations, aiding in improving workflows for healthcare data interoperability.
Healthcare organizations registering for Health Records can preview their organization and FHIR API endpoint before publication. This guide details the specific steps required to view and validate an approved API endpoint within the actual Health app environment.