Durch Digitalisierung im Gesundheitswesen die Effizienz in der Versorgung steigern
BIHのシンヴィア・トゥーン教授は、デジタル変革がもたらす可能性と課題について語った。技術的な進歩に加え、法制度や標準規格の「強制力」が必要であり、国際的な成功事例から学ぶべきだと指摘した。
Search results for "SNOMED": 314 articles
BIHのシンヴィア・トゥーン教授は、デジタル変革がもたらす可能性と課題について語った。技術的な進歩に加え、法制度や標準規格の「強制力」が必要であり、国際的な成功事例から学ぶべきだと指摘した。
Sparkco AI provides detailed guides on integrating with EHR systems, enabling Skilled Nursing Facilities (SNFs) to access data via PointClickCare and process referrals from hospital partners using FHIR API.
本サービスは、EHRやラボシステムなど複数のレガシーな医療システムに分散するデータを、リアルタイムかつ標準化されたFHIRデータレイヤーに集約・変換します。これにより、異なる規格(HL7 v2, X12, DICOMなど)間のデータの断絶を解消し、システムの連携と開発の効率化を実現します。
This study comprehensively analyzes the anticancer mechanism of gambogic acid by integrating computer science and biomedicine. It proposes multidimensional strategies for overcoming traditional treatment challenges by utilizing standards like FHIR and RDF, and applying AI techniques to integrate disease information and clinical data.
Global Tech Teams (DBA Mindbowser) offers an AI-powered patient symptom analyzer running on AWS. It generates structured clinical inputs in FHIR format from unstructured data, supporting real-time triage and decision-making for care teams.
This article demonstrates how detailed breast lesion data, such as from mammography, is structured using the FHIR Observation resource. It presents specific data elements to show a mechanism where clinical findings (like BIRADS assessment) are electronically recorded and exchanged according to standard specifications.
Healthcare organizations can achieve advanced interoperability by adopting open standards like FHIR and establishing data exchange and governance. This is a strategic priority that improves care coordination and supports decision-making.
AWS HealthLake now supports the $document operation for Composition resources. This enables users to bundle all referenced resources into a single, standardized clinical document, facilitating comprehensive record creation and exchange.
The Ayushman Bharat Digital Mission (ABDM) aims to enable digital health record sharing through Health Information Provider (HIP) services in its second milestone (M2), following the ID generation and verification of M1. This establishes a mechanism where patient medical data flows seamlessly across hospitals and clinics in a standardized, secure, and interoperable manner.
TermHub, a cloud-based FHIR terminology server and platform, has released an updated version featuring comprehensive Value Set capabilities to improve healthcare data interoperability. This enhancement allows healthcare organizations greater freedom in defining, managing, and utilizing subsets of clinical terminologies.
This article provides an overview of key technical standards like FHIR, OpenEHR, and SNOMED CT within the context of the NHS. It explains how these standards are foundational for future healthcare systems, covering data exchange, clinical information management, and AI utilization.
This document provides detailed specifications on how to describe drug components using either a standardized code or free text. It outlines the usage of standardized codes like ASK-Code and SNOMED CT®-Code, showing their specific mapping within FHIR resources.
Dr. Sun Peiran explains that Clinical Quality Language (CQL) can link with data models like FHIR to describe complex medical logic. This provides a highly readable and standardized logical foundation for various settings, such as EHRs and health insurance reviews.
A report discussed the structure and operation principles of CQL, noting its compatibility with FHIR, QDM, and OMOP.
FHIR offers a modern solution to the challenge of data fragmentation in electronic medical records and billing systems. The article explains how FHIR has become a global standard for data exchange, improving patient care and data access through its future evolution (such as R6).
The Ministry of Health and Welfare held the 'SNOMED CT Taiwan 2025' conference in Taipei, gathering domestic and international experts. The event aims to advance the adoption and institutionalization of SNOMED CT, a clinical vocabulary standard, to improve interoperability of medical data for the AI era.
Global standardization of dental health data is progressing, utilizing HL7 FHIR for the data exchange format and SNOMED CT for clinical terminology. This aims to build internationally usable dental information systems.
TechVariable deployed an integrated clinical information system, combining a national-grade SNOMED CT Terminology Server with HAPI FHIR for a South American Ministry of Health. This enables healthcare providers to share standardized data, ensuring consistency across the region's continuum of care.
This systematic review examines semantics-driven approaches to improve the data quality of Electronic Health Records (EHR). It highlights that utilizing standardized vocabularies and knowledge graphs is crucial, moving beyond simple NLP techniques.
iEHR Scriptus provides electronic prescribing (ePrescription) and dispensing (eDispense) services to ensure safe and efficient medication processes. This system achieves cross-border data continuity within the EU, moving beyond local systems toward patient-centered care.