Search results for "LOINC": 168 articles
This page provides an interface to comprehensively search and manage multiple code systems, such as the Unified Medical Language System (UMLS). It clearly details its relevance to major interoperability standards like FHIR and HL7v2/v3, serving as a reference source for standardizing and exchanging medical data.
Nature Communicationsの記事によると、アフリカでは医療データのデジタル化、標準化、および調和（ハーモナイゼーション）が喫緊の課題である。この取り組みにはFHIRやDHIS2などの技術活用が期待されている。
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.
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.
Deploying a FHIR server requires comprehensive planning that goes beyond mere activation, necessitating consideration of interoperability, security, performance, and governance. The article outlines 10 essential factors required to meet clinical and operational requirements.
The article emphasizes that successful FHIR implementation requires not just technical expertise, but also a diverse team composed of members with various specialized knowledge. It argues that developers and analysts must be supported by clinical, terminology, business, and legal/privacy domain experts from the initial stages.
This article demonstrates how a specific observation data point (LOINC: 44251-7) from the PHQ-9 screening tool is structured using the FHIR standard in TTL format. It details the representation of an item concerning 'Poor appetite or overeating,' showing how patient information, performer, and measured values are standardized for clinical data exchange.
The Mobile Antepartum Summary (mAPS) has defined the critical clinical information, 'Prior Menses Date,' conforming to the FHIR standard. This enables data exchange in a unified format across healthcare institutions, contributing to improved continuous patient care.
This page aggregates and tracks the latest FHIR MCP (Master Client Provider) server information from various internet sources, showcasing highly popular resources used within the community. The services offered range widely, including reference data containing drugs and diagnoses, access to EMR systems, and integration tools with HL7/DICOM.
Model Context Protocol (MCP) は、機密性の高いFHIRデータを安全に利用しつつ、大規模言語モデル（LLM）による生成AIの活用を可能にする新しい標準プロトコルである。これは、AIが臨床情報を文脈的に取得するためのセキュアな仲介役となる。
In developing FHIR-based applications, the terminology layer is highlighted as playing an extremely critical role. Since major code systems like SNOMED CT and LOINC are used, performance and reliability are crucial to system success, requiring consideration during the design phase.
The healthcare sector faces challenges in optimizing efficiency and reducing administrative burden. While data plays a key role in solving these issues, the diversity of its formats and sources makes interoperability essential.
This page provides a detailed interface for searching and managing multiple standardized medical code systems, such as UMLS. Users can reference codes corresponding to various standards, including FHIR and HL7v2/v3, and access information regarding value set creation and API usage.
本記事は、電子カルテシステム間の情報共有を可能にするための主要な相互運用性（インターオペラビリティ）標準規格について解説している。特に、HL7やFHIRといった技術的な枠組みと、SNOMED CTやLOINCのような共通語彙の重要性を説明し、医療システムの連携がなぜ不可欠かを論じている。
This article explains how to manage and make custom terminology, which arises in healthcare data projects, shareable using the FHIR standard. Specifically, it details the process of creating a CodeSystem resource and adding definitions to its concept list.
This article introduces advanced methods for executing complex search queries using FHIR (Fast Healthcare Interoperability Resources). It presents five tasks, ranging from beginner to advanced levels, demonstrating practical data extraction skills such as utilizing `_include` and `_revinclude` parameters, composite searching, and reverse chaining.
NCQA PHEMUR has published a FHIR ValueSet defining specific gastrointestinal procedures (CT Colonography). This ValueSet incorporates multiple LOINC codes, providing a standardized dataset that supports various clinical scenarios, such as bowel contrast and screening.
The author explains the specific methods for importing standard terminologies like LOINC and SNOMED CT into Snowstorm and HAPI FHIR. The focus is on the necessary command-line operations and adjustments of configuration files (such as loincupload.properties) required for each tool.
Developed by HL7, the FHIR (Fast Healthcare Interoperability Resources) standard is a framework designed to streamline data sharing in modern healthcare settings. By utilizing web technologies like REST and JSON, it enables flexible and real-time data exchange.