Search results for "SNOMED": 25 articles
The Ministry of Health and Welfare Information Department shared its achievements in digital health interoperability and international standards through an exchange with Emma Hossack, CEO of the Australian Medical Software Industry Association (MSIA). Taiwan demonstrated a new global model for smart healthcare using FHIR and the '3-3-3 Strategy'.
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.
The 'Southern Taiwan AI Smart Health Expo' was held in Tainan, demonstrating the region's expansion from semiconductors into AI healthcare. The government plans to standardize electronic health records across all of Taiwan, expanding coverage to primary care by 2028.
The Taiwan Medical Imaging Information Standard Association (MISAT) held the 'TW Connectathon 2026' to validate the interoperability of medical information systems. This year, the event focused on four major themes: TW Core FHIR capability validation, pre-approval for cancer drugs, SMART on FHIR application authorization, and International Patient Summary (IPS).
The Ministry of Health and Welfare (MOHW) established national medical data interoperability using FHIR technology and national standards. This allows patient records from different hospital systems to flow instantly and securely, reaching a stage by late 2025 where they directly support AI clinical decision-making.
The Ministry of Health and Welfare (MOHW) revealed 'FHIR Box,' a data exchange system designed to standardize medical records and achieve nationwide electronic health record interoperability. It aims to build an open foundation that allows all hospitals to share patient data, targeting full deployment across Taiwan by the end of 2027.
The Ministry of Health and Welfare established a national foundation for medical data sharing using FHIR technology and national standards, enabling real-time and secure circulation of patient records across hospitals. This advances Taiwan toward a next-generation smart healthcare ecosystem capable of supporting AI clinical decision support.
The National Science Council (NSC) announced achievements in the smart healthcare sector through collaboration with the Ministry of Health and Welfare. Taiwan successfully established a mechanism to securely and standardize the circulation of medical records using core data standards while maintaining existing systems.
A Taiwanese health information organization has published a ValueSet for cancer staging. This set is based on HL7 FHIR R4, aggregating codes from multiple standards like SNOMED CT, covering numerous international cancer staging systems (e.g., Gleason score, FIGO stage).
員榮医療社団法人（員榮醫院）が自主開発した「智能醫囑系統」（APOE）が、衛福部主催の「臺灣50優良 SMART 應用程式」に選出された。本システムはAI技術を活用し、電子病歴作成や診療支援を行うことで、医師が患者との対話により多くの時間を割ける環境を提供することを目的としている。
A team of Taiwanese medical research institutions has developed and released a template using the international FHIR format for recording and exchanging antibiotic resistance data. This system aims to standardize clinical data and facilitate long-term trend analysis.
The Ministry of Health and Welfare (MOHW) has presented a '333' blueprint to advance Taiwan's digital healthcare. This aims to institutionalize data governance, security, and AI usage across three major areas, enhancing international competitiveness.
阮綜合醫院は、限られたITリソースの中で、生成AI（GenAI）を活用し、護理記録やFHIR形式での癌薬事審など複数の業務を効率化。特に国際標準コードへの変換支援により、小規模病院における高度な医療情報交換の課題解決に貢献した。
Taiwan's Ministry of Health and Welfare (MOHW) advanced its 'FHIR one-stop conversion tool.' This tool standardizes electronic medical records by refining text and recommending international codes like SNOMED CT and LOINC, achieving an overall recommendation accuracy of 91.3%.
This course is designed for CMIO students in medical informatics. It aims to help participants distinguish between syntactic and semantic interoperability at the data level. Key topics include FHIR resources, RESTful APIs, and how SNOMED CT provides computable meaning.
The Ministry of Health and Welfare's Information Department announced that to solidify Taiwan's smart healthcare foundation, it has set three key governance priorities: Data Governance, AI Governance, and Cybersecurity Governance. This includes ensuring data interoperability through the adoption of international standards like FHIR and SNOMED CT, and establishing frameworks for responsible AI implementation and management.
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.
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.