The Tri-Service General Hospital (Taiwan) introduced an AI-powered hemodialysis system to address complications like hip fractures and 'persistent starvation bone syndrome' in long-term dialysis patients. The system uses electronic dashboards and cross-platform integration to monitor patient status and provide personalized treatment, improving pain relief and quality of life.
Xinli Asset is participating in the government's 'Healthy Taiwan Deep Cultivation Plan,' advancing standardization integration using generative AI and Electronic Health Records (FHIR). Furthermore, it expects results starting in Q4, including a two-year service contract with Cathay Thai Bank through its Vietnamese subsidiary.
The Tri-Service General Hospital in Taiwan unveiled an 'AI Smart Hemodialysis System.' This system provides personalized care for chronic kidney failure patients, achieving improved quality of life by early detection and management of conditions like osteoporosis and fracture risk.
The Ministry of Health and Welfare's Information Department is hosting the 'Taiwan 50 Excellent SMART on FHIR Application Contest.' The event aims to promote the structuring of Taiwanese medical data and foster international interoperability by educating participants on SMART on FHIR principles and building a smart healthcare app ecosystem.
The Taiwanese healthcare system released the 'TWPAS IG v1.0.8,' a guide based on FHIR standards. This guide defines the structure of DiagnosticReport, demonstrating how to standardize pathology reports and patient information using LOINC codes.
The National Health Insurance Administration (NHIA) released a guide detailing the TTL representation of patient status assessment items, based on FHIR R4.
Minister of Health and Welfare, Shi Chong-liang, emphasizes building a patient-centric, equitable smart healthcare future. He highlights the adoption of national data standards (FHIR) and public versions to achieve this goal.
The author analyzes the implementation process of two key guidelines—the Taiwan National Health Insurance Cancer Drug Pre-screening Guideline (TWPAS) and the Taiwan Major Illness Guideline (TWCI)—which aim to standardize government-to-institution data exchange using FHIR. The article details how these standards transition from older formats like CDA to FHIR, outlining the necessary resources and methodologies for submitting applications.
This article provides a technical guide on mapping methods using the data transformation tool FUME and the programming language JSONata, specifically for FHIR resources. It introduces advanced operations useful in practice, such as checking for input data existence and array handling.
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.
This article discusses challenges encountered when implementing HAPI FHIR as a FHIR server. It focuses on the necessity of 'peripheral cooperation' for commercial use, such as security control (Keycloak) and load balancing, and highlights data loss issues observed in the validation function ($validate) during large-scale data processing.
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.
Taiwan is hosting the major global medical informatics conference, MedInfo 2025. Under themes like AI and digital transformation, over 1,000 experts from nearly 60 countries will gather to discuss the future of equitable and sustainable healthcare.
The Taiwan Medical Informatics Association is hosting the large-scale international medical informatics conference, "MedInfo 2025," in Taipei. The event will explore global health care equity and sustainability through themes like AI and digital transformation.
Driven by organizations like Microsoft and the Ministry of Health, efforts are accelerating to uniformly exchange and manage electronic medical records using the FHIR standard. By utilizing cloud services like Azure, integrating structured and unstructured data aims to facilitate AI applications and build advanced healthcare systems.