Search results for "FHIR": 3,717 articles
The author loaded the same dataset (1,000 Synthea patients) into HAPI FHIR and Google Cloud Healthcare API and found that both servers returned different responses across multiple queries. Significant interoperability issues were identified, particularly concerning data ingestion and transaction handling.
healsens-fhirmcp is an MCP server designed to allow AI agents safe and predictable access to existing FHIR data. It acts not as a thin proxy, but deeply understands the structure and semantics of FHIR to provide read-only data access.
@atomic-ehr/codegen is a generator that automatically produces strongly typed Pydantic models from any FHIR package. This eliminates the need for developers to wrestle with raw dictionaries or guess field names, enabling type-safe coding practices.
This paper, featuring researchers from various universities and companies, summarizes the activities and outcomes of the FHIR Study Group. It provides the latest research findings in medical informatics, expected to contribute to future data utilization infrastructure development.
The National Development Council (NDC) announced achievements from the 'Ten Major AI Infrastructure Projects,' conducted in cooperation with various ministries. This progress is advancing AI use in public health, contributing to reduced burden on medical staff and providing faster, more accurate services.
Colombia has released concrete examples of resource definitions for 'healthcare location' as part of its FHIR-based Digital Health Record (RDA). This effort aims to incorporate facility location information into standard specifications, thereby improving the accuracy of data exchange.
In Taiwan's medical field, AI integration is shifting from mere R&D to systematic implementation. Efforts led by the Ministry of Health and Welfare (MOHW), including initiatives on 'Responsible AI' and 'Clinical AI Certification,' are progressing. By linking with standardized electronic health records (FHIR), AI aims to serve as a comprehensive critical care platform, reducing misdiagnosis risk.
OMOPHub provides a comprehensive solution for the complex challenge of medical vocabulary management through APIs. This allows development teams to be freed from infrastructure setup and terminology updates, enabling them to focus on research and clinical workflows.
Colombia has published its unique medication code system, 'CUMS', in FHIR format. This code system functions as a unified identifier for pharmaceuticals within the country, contributing to the standardization of medical records and improved interoperability.
NeoHealthCard offers a platform compatible with global healthcare standards including HL7, FHIR, and DICOM. This enables the secure and efficient exchange of electronic health records and medical imaging data, ensuring seamless interoperability and patient-controlled security across institutions.
This article compares two standards, legacy HL7 v2 and modern FHIR, addressing data integration challenges in hospital IT. It explains which standard is better suited for an appropriate integration strategy, suggesting that FHIR holds an advantage, especially when developing new systems or considering long-term investment.
国家開発委員会（國發會）は、AI技術を活用した「AI新十大建設」を推進し、行政効率化や社会全体のレジリエンス向上を目指している。特に智慧醫療分野では、FHIR標準やSMART on FHIRアーキテクチャの導入が進み、病歴自動生成などの革新的応用が実現している。
DaTong Medical Care, a subsidiary of the DaTong Group, is undergoing restructuring to adapt to changes in the AI-driven healthcare market. By focusing on data exchange standards like FHIR (Fast Healthcare Interoperability Resources), they aim to capture new policy opportunities in Taiwan's electronic medical record system market.
The Colombian Ministry of Health has published a code system called 'Resumen Digital de Atención en Salud (RDA)' to classify special population groups. Based on FHIR standards, this helps identify various vulnerable populations and groups with specific statuses.
This document defines the structure for a 'Sharing Approval Policy' when sharing medical resources with national data banks. This policy is treated as a set of resources conforming to specific profiles, detailing constraints and obligations through extensions.
Major healthcare companies and vendors are accelerating the automation of insurance claims and document workflows using API integration and clinical reasoning engines. However, independent audits and human oversight remain essential, requiring a cautious approach to technology adoption.
In FHIR, data elements not present in the base specification can be added as 'Extensions' while maintaining interoperability. This allows new concepts, such as a patient's preferred pronouns, to be incorporated into systems.
Yuanrong Medical System's independently developed AI-powered 'Intelligent Ordering System' (APOE) was selected for the Ministry of Health and Welfare's 'Taiwan 50 Excellent SMART Applications.' This validates its capability in applying AI and standardizing data within regional hospitals.
SMART on FHIR builds upon OAuth 2.0 to provide a standardized framework that securely enables healthcare applications to access Electronic Health Record (EHR) data. It addresses gaps in endpoint discovery and scope management, significantly reducing integration complexity while enhancing security.
This session explores how to prepare data for AI and regulatory expectations through interoperable architectures using HL7 FHIR. Attendees will discuss methods to make their own data reusable, trustworthy, and ready for future requirements.