昕力資*攜手逾十家醫院以生成式AI攻醫囑自動化、FHIR資料標準化 環球生技月刊 昕力資*攜手逾十家醫院以生成式AI攻醫囑自動化、FHIR資料標準化. 撰文 記者吳康瑋. 日期2026-03-09. English French German Italian Portuguese Russian ... Facebook
The discussion highlighted that FHIR and data quality are becoming critical national priorities in the field of digital health. This focus emphasizes the need for robust data standards and interoperability across healthcare systems.
The collaboration focuses on utilizing FHIR standards to support AI-driven health monitoring. This approach aims to deliver accurate, camera-based vital sign monitoring through modern interoperability.
The National Academy of Medicine is guiding the creation of a national health digital and data architecture. This effort aims to lay the foundation for complementary interoperability across the healthcare system.
Medplum showcased its backend capabilities utilizing FHIR R4 standards for managing patient consent and account creation. This demonstrates the platform's ability to handle core identity and consent management processes.
AWS introduced a comprehensive AI platform specifically for the healthcare industry. This platform includes Amazon HealthLake and supports FHIR-compliant infrastructure, aiming to enhance healthcare data management.
Microsoft is addressing the need to enable FHIR R5 within its Azure scripting environment. This update relates to the use of the FHIR Service instance under Healthdata services.
The HL7 Patient Administration Working Group released the FHIR v4.0.1 National Healthcare Directory Exchange profile. This resource defines a standard for national healthcare directory exchange using FHIR.
A sample data depot was released containing an XML representation of a FHIR MedicationStatement resource. This resource is part of the PACIO Sample Data Depot and utilizes the HL7 FHIR standard.
fhir.ch released a FHIR resource for the drug Atorvastatin (EZETIMIB Atorvast Mepha Filmtabl). This resource specifies details such as the dosage form (Filmtablette) and the amount (30 Tablet).
The HL7 Caliper FHIR Accelerator is being utilized to address the evolving role of FHIR in the context of AI advancements. This effort aims to redefine the long-term role of HL7 standards in the age of artificial intelligence.
AWS introduced a new AI Agent Platform aimed at solving common paperwork issues within the healthcare sector. This platform leverages technologies like FHIR to improve data handling and workflow efficiency.
A new FHIR Union structure for ehealth-devicemetric-qualityHistory was defined. This update expands the interoperability scope for device metric data within the FHIR standard.
InterSystems is advancing its capabilities to address complex, real-world data exchange challenges. These efforts aim to provide ready-to-use solutions for future healthcare interoperability.
AWS provided documentation for the FHIRServer class within its AWS SDK for C++. This resource is designed for configuring FHIR server input data sources.
Echo-Health.ai announced integrations with several existing healthcare platforms. This connectivity utilizes the FHIR R4 standard, allowing for unified API access across different systems.