獨步全球!台灣「臨床AI驗證中心」如何將AI煉成全能醫師,走向全世界? - 康健雜誌
台湾の衛福部が設立した「臨床AI検証取證中心」は、AIの「水土不服」という課題解決を目指し、国際的な基準でAIの適応力向上を図っている。これは、単なる技術開発に留まらず、グローバル市場での医療AI製品の実用化を視野に入れた包括的な取り組みである。
Search results for "FHIR": 280 articles
台湾の衛福部が設立した「臨床AI検証取證中心」は、AIの「水土不服」という課題解決を目指し、国際的な基準でAIの適応力向上を図っている。これは、単なる技術開発に留まらず、グローバル市場での医療AI製品の実用化を視野に入れた包括的な取り組みである。
The Ministry of Health and Welfare (MOHW) launched the 'Clinical AI Certification Center' to test AI medical devices through a standardized verification system. This enables cross-hospital, diverse population testing, accelerating regulatory approval and clinical application.
Driven by generative AI and FHIR standards, smart healthcare is transitioning from a phase of 'mere technical demonstration' to one of 'systemic integration.' The article analyzes this transformation period, detailing industry trends, key technological shifts, and the evolution of policy frameworks, proposing an advanced strategy based on three axes: value, process, and platform.
本記事は、HL7が推進する標準言語「CQL」(Clinical Quality Language)を紹介している。従来のシステムでは、医療・健保規則などのロジックがプログラムやSQLに埋め込まれ、共有性や更新性に問題があったが、CQLはこれを解決し、臨床決策支援(CDS)や品質指標の定義を統一的に可能にする。
Taiwan has entered a super-aged society this year, rapidly increasing the demand for smart healthcare. The Ministry of Health and Welfare is promoting data standardization and system interoperability by adopting international standards like FHIR, CQL, and SMART frameworks, aiming to remove barriers in hospital data exchange and accelerate the adoption of smart medical applications.
The National Science and Technology Council (NSTC) is advancing the localization of FHIR, an international healthcare data exchange standard, to facilitate cross-institutional sharing of elderly care data. Aiming for completion this year, its adoption by care institutions aims to boost Taiwan's digital health industry and create export opportunities.
The Ministry of Digital Affairs held the '2025 DEMO DAY Medical AI and HIS System Exchange' in Kaohsiung to explore opportunities for medical AI and HIS system implementation. Government agencies, local governments, and companies participated, showcasing diverse smart healthcare solutions such as FHIR electronic health record systems and generative AI-assisted diagnostics.
weavi addresses the challenges of FHIR—namely, its English-centric nature, lack of Chinese practical guidelines, and limitation to the medical field. It aims to achieve data interoperability through localization and practical application across various domains.
The National Health Insurance (NHI) in Taiwan has published a ValueSet defining 'Pre-screening - Coverage Indications.' This technical specification, based on FHIR standards, is designed to be integrated into the clinical billing and reimbursement process.
The article highlights Taiwan's contribution to global health operations, noting its adoption of international digital standards like FHIR. It reports the ongoing exclusion from the World Health Organization (WHO) due to political pressure despite these efforts.
The hospital participated in the 5th FHIR Medical Information Interoperability Test, held from September 3 to 6, 2024. Through this experience, the hospital successfully exchanged electronic medical record information using FHIR format, covering items such as basic data, ECG, and lab values, thereby contributing to the standardization of medical data and improving data exchange accuracy.
In 2025, Taiwan marked the 30th anniversary of its National Health Insurance (NHI) system. This system provides healthcare access to 99.9% of the population and supports social stability. It is advancing transformation using digital technologies like AI and 'My Health Bank,' while strengthening responses to preventive care and telemedicine.
Responding to the growing need for telemedicine following COVID-19, this working group developed a set of scenarios for 2023 interoperability testing. Using FHIR interoperability standards, it defines data flows and information across four specific use cases—including patient basic data management and remote registration—aiming to standardize telemedicine services in Taiwan.
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.
The standardized framework, CDS Hooks (proposed by HL7), integrates external Clinical Decision Support Services (CDS Service) into Electronic Health Records (HIS). This provides healthcare professionals with immediate and highly accurate suggestions, thereby improving clinical efficiency and patient care quality.
The National Health Insurance Administration (NHIA) will open a new process for pre-screening cancer drugs, combining electronic medical records and FHIR, to all hospitals starting January 1, 2025. The NHIA is also planning processes for major illness applications and new workflows for uploading NGS test data using FHIR.
Digital transformation software company Xinli Information partnered with Ruanchang Hospital in Kaohsiung to develop a generative AI platform. This initiative aims to improve workflow efficiency and automate data processing for medical staff, contributing to the standardization of Taiwan's healthcare data exchange system.
Ruan General Hospital, a local hospital in Kaohsiung, partnered with Xinline Information, a digital transformation software company, to announce the 'Generative AI Platform for Medical Settings.' This platform utilizes advanced generative AI technology to provide personalized services to medical staff, aiming to improve operational efficiency by automating document extraction, conversion, and integration.
TPIsoftware and Yuan's General Hospital, a leading medical institution in Southern Taiwan, have collaborated to launch a digital health platform. This system uses generative AI to streamline data transformation and exchange within hospital information systems (HIS), aiming to boost operational efficiency.
TPIsoftware and Yuan's General Hospital, a leading medical institution in Southern Taiwan, launched a digital health platform utilizing generative AI (GenAI) technology. The platform aims to streamline data transformation and exchange within hospital information systems (HIS), enhancing operational efficiency through features like smart search and automated data format conversion.