1,676 FHIR-related articles (latest first)
็ญ่ ใฏใ็นๅฎใฎ็ถๆณไธใงFHIRใๅฟ ้ ใจใใใใจใซ็ๅใๅใใๆ่ก็ใชๅฟ ่ฆๆงใใชใๅ ดๅใงใใๆฅญ็ๆจๆบใ ใใใใๆชๆฅใ ใใใใจใใ็็ฑใ ใใงๆก็จใใใฎใฏๅฑ้บใ ใจ่ญฆ้ใ้ณดใใใใใใผใฟๅ ฑๆใใทในใใ ้ฃๆบใฎ่ฆไปถใไฝใใใญใธใงใฏใใงใฏใใทใณใใซใชSQLใใผใฟใใผในใฎๆนใ้ฉๅใงใใไบไพใ็ดนไปใใฆใใใ
This article introduces the 'MCP Server for Google Cloud Healthcare API,' which enables interaction with FHIR resources and medical research APIs. Using this server, users can search patient data (vitals, medication history) and also access advanced medical research information from PubMed and ClinicalTrials.gov.
Multiple major research centers are adopting eSource technology utilizing standards like FHIR to overcome challenges of data duplication and manual processes. This enables real-time data linkage and AI utilization, promising significant improvements in trial efficiency.
This article summarizes a research paper published in the International Journal of Retina and Vitreous. The focus is on the challenges of data sharing and privacy in developing AI using retinal images, emphasizing compliance with Brazil's General Data Protection Law (LGPD).
Solidsoft Reply has become a recognized member of INTEROPen, an initiative accelerating open standards for interoperability in the health and social care sector. The company plans to utilize FHIR standards on Microsoft Azure for areas such as Medication Management and Integrated Care Systems.
The WHO SMART Trust has published a technical definition for the 'Receiver' actor, based on FHIR standards. This defines system requirements for participants in a Trust Network to receive and utilize verifiable content from a Holder.
This system is a dedicated server that provides patient data extracted from Electronic Health Records (EHR) to external AI/LLMs via the Model Context Protocol (MCP). This enables AI agents to perform data analysis and searches through standardized, secure interfaces.
Kartha-AI's 'Agent Care' connects with Electronic Medical Records (EMR) like Cerner and Epic through an MCP server. This enables access to medical resources using FHIR data, facilitating comprehensive clinical analysis.
Informatica provides a technical guide detailing the functionality and usage of its FHIR connector for data integration. It specifically explains how to configure the Secure Agent when an organization uses an outgoing proxy server to connect to the internet.
Large Language Models (LLMs) are expected to revolutionize healthcare, but their practical implementation faces a major hurdle: data. The article highlights that structured data formats, such as FHIR, present specific challenges when processed by LLMs.
Even when adopting FHIR in new projects, technical expertise alone is insufficient. Deep domain knowledge and understanding of clinical workflows are critical because simply introducing new technology without foundational knowledge risks derailing the entire project.
HL7 FHIR provides a structured and flexible framework for data exchange, enhancing health interoperability. By defining core 'Resources' and customizing them with 'Profiles,' it enables standardized data sharing.
MediRecords has published a new extension specification, the 'Condition Active status as mentioned for a Family Member Extension,' based on FHIR v4.0.1. This aims to track whether a specific condition of a family member is currently active, thereby improving data granularity in interoperability.
This article guides users through downloading and installing 'fhir-data-pipes,' a collection of tools designed for extracting FHIR resources and building advanced analytics services. The project aims to provide a robust foundation for data analysis using standardized healthcare data.
Multiple development projects and open-source tools are providing diverse functionalities based on the FHIR standard, such as AI utilization and electronic health record generation. These suggest technical advancements in Japan's digital healthcare sector by aiming to structure, analyze, and apply medical data in clinical settings.
This article technically details the usage of the enum `ca.uhn.fhir.parser.json.BaseJsonLikeValue.ScalarType` within the HAPI FHIR library. This type is crucial for validating expected data types versus detected actual data types during JSON parsing.
This free half-day briefing discusses how to modernize existing healthcare applications quickly and flexibly by leveraging Microsoft Azure. The focus is placed on cloud migration and integration opportunities for industry standards like FHIR and HL7.
Apple details the process for healthcare organizations to temporarily suspend patient access to their Health Records and Health app data. This is managed through the FHIR API endpoint management system, allowing suspension of either record downloads only, or both records and app-based data sharing.
Darren Devitt highlights five key presentations from the recently released DevDays 2025 program. These sessions address critical modern challenges in healthcare data, including mapping unstructured data to FHIR using GenAI, bridging the gap between DICOM and FHIR, and comprehensive data validation.
The developer released the library `dsf-bpe-process-api-v2`. This is part of the Data Sharing Framework (DSF) and provides a process processing API for medical information exchange. The library includes FHIR dependencies, aiming to provide standard functionality for system linkage.