Search results for "SNOMED": 314 articles
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.
The Australian Digital Health Agency has published the OperationOutcome resource profile (v1.4.0) to define the success or failure of electronic health information exchange within the My Health Record system. This specification establishes the mechanism for data exchange between healthcare providers and individuals, based on FHIR standards.
This page presents detailed specifications for coding medical information and data elements related to Digital Health Applications (DiGA). It specifically defines how data should be handled using standard code systems like SNOMED CT and LOINC, and details the mapping process to FHIR.
This article is the first installment of a series providing an overview of HL7 FHIR (Fast Healthcare Interoperability Resources). The author, approaching the topic as a non-expert in medical IT, shares insights into the steep learning curve and practical challenges of FHIR. It presents both conceptual understanding and practical approaches for structuring medical data.
A webinar hosted by NCQA explained the fundamentals of FHIR (Fast Healthcare Interoperability Resources) and its crucial role in supporting HEDIS digital quality measures (dQMs). By providing standardized data structures, FHIR streamlines healthcare data exchange, enabling efficient and automated high-quality reporting.
Querium is a customized IDE built specifically for FHIR and SMART on FHIR. It assists clinicians, data engineers, and healthtech platforms by improving usability and ensuring compliance when handling complex medical data.
The CodeX HL7 FHIR Accelerator Community has outlined design principles aimed at collecting and sharing high-quality, longitudinal patient data. These principles emphasize starting with single, narrowly focused use cases, utilizing FHIR and global code systems like LOINC/SNOMED CT to build standardized health records.
This paper proposes 'Infherno,' an end-to-end framework that utilizes LLM agents and external tools to synthesize FHIR resources from unstructured clinical text. This approach addresses the limitations of conventional systems regarding generalizability and structural conformity.
Health IT professionals must align their FHIR APIs with USCDI data standards and the Trusted Exchange Framework and Common Agreement (TEFCA). This ensures secure and interoperable sharing of national health information.
The 'SNOMED on FHIR Working Session,' chaired by Peter G. Williams and Robert Hausam, is scheduled for October 19, 2025. This session aims to facilitate information exchange regarding the utilization of SNOMED CT within the FHIR standard.
This article provides an example of structuring detailed medical service information (psychology/psychiatry) using the HL7 FHIR standard. This demonstrates how complex clinical data and specialized service metadata can be exchanged in a standardized, machine-readable format.
This document details how to retrieve specimen data using the FHIR R4 API on the Oracle Health Millennium Platform. It demonstrates that multiple specimens can be searched and retrieved in a single request by utilizing resource IDs and query parameters.
Nature Communicationsの記事によると、アフリカでは医療データのデジタル化、標準化、および調和（ハーモナイゼーション）が喫緊の課題である。この取り組みにはFHIRやDHIS2などの技術活用が期待されている。
OpenEMR, an open-source EHR, enhances its FHIR support to facilitate real-time data exchange and extensibility, supporting data-driven decision-making in healthcare. This improves clinical and operational continuity and efficiency, aligning with the trend of integrating FHIR APIs across systems by 2025.
This article explains the critical importance of 'Interoperability' for handling massive healthcare data, detailing its role in enabling information sharing between systems. It introduces major standards like HL7 and FHIR, outlining their respective functions and use cases for developers.
This document outlines the fundamental principles necessary for data exchange and information sharing in healthcare. It discusses how major standards—specifically FHIR, HL7, and SNOMED CT—are integrated to achieve true interoperability.
Dr. Carina Vorisek, a medical informatics expert, warns that data interoperability is essential for AI implementation in healthcare. She points out that current AI applications rely on siloed data from single institutions, making safe generalization to diverse patient populations difficult.
Deploying a FHIR server requires comprehensive planning that goes beyond mere activation, necessitating consideration of interoperability, security, performance, and governance. The article outlines 10 essential factors required to meet clinical and operational requirements.
The article emphasizes that successful FHIR implementation requires not just technical expertise, but also a diverse team composed of members with various specialized knowledge. It argues that developers and analysts must be supported by clinical, terminology, business, and legal/privacy domain experts from the initial stages.