Search results for "SNOMED": 314 articles
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.
A ValueSet defining specific clinical procedures and findings has been published. This standardizes the situation where a patient leaves a facility against medical advice (AMA), facilitating information sharing across systems like electronic health records.
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.
This page displays a SNOMED CT ValueSet definition containing various disease codes related to end-stage renal disease (ESRD). The set includes detailed classifications of chronic kidney disease stage 5, categorized by causes such as hypertension and diabetes.
インドネシア政府は、地域医療におけるデータ交換を促進するため「Satusehat」プロジェクトを開始した。本研究は、このプラットフォームの利用上の課題を分析し、FHIRサーバーや電子カルテデータの標準化（SNOMED CTなど）に関する具体的な改善策を提案している。
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.
Taiwan launched the 'Taiwan Healthcare Information Standard Platform,' adopting international standards like FHIR and CQL. This aims to build a smarter medical environment with enhanced interoperability.
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.
As healthcare data interoperability becomes critical, 'FHIR-native applications' utilizing the standardized protocol FHIR (Fast Healthcare Interoperability Resources) are gaining attention. This approach is presented as an optimal solution for modern complex healthcare systems.
Multiple major research centers are adopting eSource technology utilizing standards like FHIR to overcome challenges of data duplication and manual processes. This enables real-time data linkage and AI utilization, promising significant improvements in trial efficiency.
Microservices structure applications as loosely coupled, independently deployable services. HL7 FHIR (Fast Healthcare Interoperability Resources) enhances the efficiency of medical data linkage and development by providing standardized resource models and terminology management capabilities.
A lab medicine expert points out the difficulty of integrating test data into electronic patient records (ePA). Although HL7 and FHIR are used in practice, true unified digitalization requires deep semantic standardization using standards like LOINC and SNOMED CT.
Mapping healthcare data to FHIR is a critical step for achieving interoperability. The article outlines key considerations, such as assessing source data alignment with FHIR resources and standard terminologies (SNOMED CT/LOINC), establishing the right team structure, and adopting an MVP approach for successful implementation.
CapMinds addresses systemic issues stemming from reliance on legacy HL7 feeds and custom scripts by providing a standardized API architecture. This enables the safe and rapid movement of data, supporting integration across clinical and billing systems.
IHE profiles provide guidance for digital data exchange, distinguishing them from technical standards like DICOM or HL7.
This article explains the importance of 'Interoperability,' which enables seamless data exchange between different healthcare systems, devices, and applications. By utilizing the Health Information Exchange (HIE) Suite, diverse health-related data, including electronic health records, can be integrated in real-time to support high-quality care and faster decision-making.
The US government introduced the HTI-1 ruling to enhance transparency in healthcare data exchange. This mandates changes for FHIR-related systems and EHRs, requiring developers and providers to adopt multiple technical updates and comply with strict deadlines.
The Ministry of Health launched the 'Taiwan Medical Information Standard Platform' to promote smart healthcare and standardize medical data. The platform aims to streamline data exchange between institutions and build an AI development foundation by unifying data, rules, and applications.
The ANS provides the 'Serveur Multi-Terminologies' (SMT), which offers standardized reference vocabularies to facilitate the exchange and sharing of medical information. This enhances interoperability across systems by standardizing descriptions of conditions, tests, and diseases.
The Ministry of Health announced the launch of the 'Taiwan Medical Information Standard Platform' on March 12th. The initiative aims to accelerate smart healthcare and medical data standardization by implementing international standards like FHIR and establishing an AI application environment.