Search results for "LOINC": 168 articles
The World Health Organization (WHO) established and publishes ICD-10 as an international standard for classifying diseases. This global system assigns alphanumeric codes to illnesses and injuries, used worldwide for statistics, billing, and public health surveillance.
Based on the challenges of structured reporting in 2026, this article compares and introduces five FHIR terminology servers capable of handling RadLex, a key ontology for radiology imaging workflows. These tools represent practical options that can manage large-scale data loading and complex hierarchical processing.
FHIR Operations provide functionality beyond basic CRUD actions, supporting complex clinical workflows such as validation, terminology management, and patient identity matching. This facilitates a transition from simple data exchange to safe and high-quality clinical processes.
Modern healthcare organizations are advised to adopt an architecture combining a Data Warehouse (DWH) and a Data Lake. This approach enables both reliable operational decision-making and advanced AI analytics by utilizing massive volumes of data from sources like EHRs and lab systems.
FHIR Profiles define how base FHIR resources (like Patient, Observation) should be used in specific contexts or according to regional requirements. This process eliminates data exchange ambiguity and achieves reliable, testable interoperability.
This article explains that the FHIR (Fast Healthcare Interoperability Resources) server serves as the backbone for structured data exchange between various healthcare systems. It details how multiple components, such as API Gateways and Authorization Servers, collaborate to ensure security and reliability.
アイルランドのiEHRが、社会経済的決定要因（SDOH）に関する「Prapare Panel Example 93040-4」をFHIRリソースとして具体的に定義した。これは、観察結果（Observation）形式で、特定の質問票回答に基づく健康状態の記録方法を示す。
Based on a Nature paper, the autonomous medical AI agent 'MIRA' was developed. This system demonstrated its ability to autonomously execute an entire workflow—from patient history taking to diagnosis, testing, and treatment planning—within an EHR sandbox environment.
This article profiles thirteen advanced healthcare app development companies that hospital systems should evaluate when planning their next technology investment. These firms are addressing critical challenges in healthcare by focusing on clinical data interoperability and administrative workflow automation.
Hasshya Moorthy developed an end-to-end interoperability pipeline that converts CCDA (Clinical Document Architecture) XML files into standardized FHIR resources. The system employs a hybrid approach combining deterministic extraction, NLP-assisted ontology mapping, and semantic normalization.
This study systematically reviewed scientific literature on the development process of FHIR Implementation Guides (IGs) in electronic health records. It proposes that IG creation is not merely a technical task but a complex process requiring the integration of software engineering, clinical semantics, and organizational governance through a
本論文は、Fast Healthcare Interoperability Resources (FHIR) の実装ガイド（IGs）の作成プロセスについて包括的なレビューを実施した。研究結果から、FHIR IGsがどのように開発され、どのような標準やツールを用いて管理されているかが明らかになった。
A research team developed a Machine Learning (ML)-based Clinical Decision Support System (CDSS) to aid in the early detection of sepsis. The system ensures interoperability and security by integrating with Electronic Health Record (EHR) data using standards like HL7 FHIR.
FHIR.sk has released a comprehensive toolkit for medical data exchange. This enables the creation, validation, and simulation of FHIR resources, allowing developers to build more advanced systems.
This article provides fundamental knowledge of modern healthcare interoperability, centered on FHIR (Fast Healthcare Interoperability Resources). It covers core concepts like REST API and Resource, alongside definitions of specific clinical resources such as Patient, Observation, and Condition.
本ページは、HL7 FHIRを基盤としたヨーロッパの医療情報交換（eHealth）に関する包括的な知識提供を行う。特にスロバキニアの国内状況から、EUレベルでのEHDS対応やGDPR準拠のための技術的指針が網羅されている。
A research paper details the development and validation of an open data model aimed at achieving semantic interoperability in pharmacogenomics for clinical practice. The model integrates genetic and disease information, aiming for integration into electronic health records (EHR).
Elimu provides comprehensive IT solutions across various domains, including Knowledge/Clinical Decision Support (CDS), FHIR development, and Social Determinants of Health (SDOH) integration. They support full-stack EHR embedding and data structuring compliant with CMS 1151.
This article provides a technical overview of the 'EU Digital Green Certificate FHIR Implementation Guide' designed for COVID-19 vaccination certificates. It details how immunization records and clinical documents are structured using specific resources and code definitions.
JondaX is a data transformation engine that processes diverse real-world inputs—such as PDFs, images, HL7/FHIR—and converts them into clean, coded, and regulation-ready structured output. It offers advanced functions based on clinical context while adhering to international regulations like HIPAA and GDPR.