Search results for "SNOMED": 314 articles
Espeir introduces CLARYS, which continuously and reliably reads the patient journey to support medical decision-making. It integrates data from multiple sources and presents clinical information in an immediately usable format without modifying existing systems.
This article reviews terminology servers required to handle specialized vocabularies for genomics in the context of FHIR-aligned data processing. It introduces five specific solutions capable of supporting multiple standards like HGNC and LOINC, while also addressing practical clinical operational challenges.
VANNIN GROUP's Greencube facilitates the exchange of clinical data with systems already running in hospitals. It utilizes multiple international standards, including HL7 v2 and FHIR, to achieve seamless integration of diverse data such as EHR, lab results, and medication information.
Simply installing sensors or collecting data does not make a hospital safer. This article argues that achieving successful healthcare IoT deployment requires more than technical interoperability (FHIR); it demands a fundamental 'care redesign.'
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.
This study explored applying Reinforcement Learning (RL) to FHIR workflows, demonstrating the potential of 'World Feedback' for complex clinical decision-making. It identified structural limitations in existing models and proposed that a hybrid approach combining SFT and RL is optimal.
Germany is advancing the construction of a data-driven healthcare system based on the European Health Data Space (EHDS) and EU AI regulations. It aims to standardize and securely share data through the introduction of electronic patient records (ePA) and national data centers.
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.
研究者らは、大規模言語モデル（LLM）が電子カルテの臨床データを活用するための基盤として、「Atrium」というオープンソースの参照モデルコンテキストプロトコル（MCP）サーバーを提案した。これはFHIR R4エンドポイントを公開し、SMART-on-FHIR認証を通じて安全にデータアクセスを可能にする。
Oracle Health has published the FHIR API endpoint specifications for the Specimen resource within its AI application suite. This specification defines how specimen information—used for diagnostic and environmental testing—is collected, maintained, and processed, encouraging developers to begin implementation in anticipation of production availability.
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.
Yuan-Rong Hospital showcased its self-developed 'Intelligent Provider Order Entry System (APOE)' at a Ministry of Health and Welfare organized exhibition. The system uses AI to generate preliminary medical records from consultation content, significantly improving physician efficiency.
Yuanrong Medical System showcased its self-developed 'Intelligent Provider Order Entry (APOE)' system at the 'Great South AI Smart Health Exhibition.' The system utilizes AI to instantly identify consultation content and generate preliminary medical records, significantly improving clinical efficiency while maintaining quality control.
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.
The 'Browse Code Systems' page, provided by the National Institutes of Health (NIH), offers comprehensive functionality for referencing and managing diverse medical code systems. Users can search and verify information related to diseases, drugs, and procedures based on various standard specifications such as UMLS and LOINC.
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.