Search results for "FHIR": 1,661 articles
Developers are building 'Model Context Protocol (MCP)' servers to provide healthcare and wellness data to AI. Significant progress has been made in connecting FHIR (Fast Healthcare Interoperability Resources) and fitness data sources like Strava and Garmin, enabling the development of advanced healthcare applications.
The American Medical Association (AMA) launched an interoperability initiative to support electronic prior authorization by developing mappings between SNOMED CT and CPT terminology. This aims to reduce administrative burden on physicians and improve systems ahead of the January 1, 2027, CMS compliance deadline.
This article discusses digital infrastructure and data interoperability in radiology, explaining AI-enabled quantitative imaging workflows aimed at preventative care. It emphasizes that the integration of standards like DICOM and HL7 FHIR is crucial and indispensable for future AI utilization.
Three hospitals in the Bayside Health network integrated a third-party application into the Oracle Health Foundation EHR using FHIR standards. This allows pharmacists to manage dosing adjustments and documentation directly within the electronic health record, reducing manual entry effort and errors.
NVIDIA's 'cohort-compare' skill automatically analyzes large clinical datasets retrieved from FHIR endpoints to identify care gaps and patterns within patient cohorts. This capability aids in improving healthcare quality and developing personalized treatment strategies.
A developer has re-packaged and updated 'clinFHIR,' a suite of tools focused on clinical use cases. This new version enhances data visualization and workflow design support using FHIR, adding modules like Questionnaire Viewer and improving resource graph selection.
This article details the methodology for delegating clinical tasks within an AI system to specialized agents (e.g., patient data, lab results). This approach enables safe and efficient execution of FHIR API calls and complex analyses.
A multi-agent AI pipeline was developed to transform a doctor's fragmented FHIR chart data into a condition-centric pre-fill form. This system ensures thorough de-identification, evidence-grounding, and access control, enhancing reliability in clinical settings.
JK Tech offers cutting-edge IT solutions covering everything from software development to cloud services, focused on FHIR interoperability. This initiative aims to support corporate success through digital transformation and business automation.
This article presents multiple case studies regarding data migration from electronic health records or legacy systems to modern FHIR (Fast Healthcare Interoperability Resources). It specifically explains the relevance and concrete methods for interoperability with existing standards like HL7 and IRIS.
The 'MCP FHIR Tools,' developed by organizations like CSIRO, is a utility suite designed to handle FHIR data using Large Language Models (LLMs). It provides resource validation and UUID generation, along with code lookup and validation from standard terminologies.
Coforix offers an API that extracts medical information, such as diagnoses and procedures, from unstructured clinical records. This data is automatically coded using SNOMED CT and ICD-10, and outputted as structured FHIR resources, enhancing the machine readability and interoperability of clinical data.
This tool integrates and analyzes diverse medical messages, including HL7 V2.x, V3, FHIR, and DICOM. It moves beyond simple data analysis to visualize true patient status information in the clinical setting, enabling real-time decision support.
A ValueSet is defined in FHIR that simultaneously considers a specific action (action-type) and the role involved in that action (action-participant-type). This provides a structural foundation for integrating code groups containing both concepts.
HAPI FHIR Server has published the specification for a RESTful API concerning medicinal product authorization data. This allows healthcare institutions and developers to electronically verify and integrate a drug's market approval status into their systems using specific IDs or search criteria.
This article introduces a JavaScript library function designed to assist with FHIR server integration. Specifically, it details how to reliably retrieve a single FHIR resource using the $resolve function based on specific conditions or references.
本記事は、R言語のパッケージ「BiocFHIR」を用いてFHIR R4形式のJSONデータを解析・処理する方法を解説している。ユーザーは、このパッケージを通じて基本的なFHIRデータの取り扱い方を学ぶことができる。
This page serves as a comprehensive API reference for the HAPI FHIR R4 server. It lists definitions and operational methods for numerous resources (e.g., Patient, ServiceRequest) that support diverse clinical concepts.
The Open Health Stack Software Foundation provides a comprehensive development platform centered on FHIR. Through three 'pillars'—from core libraries to AI toolkits—it supports the construction of safe and composable next-generation healthcare IT solutions.
A vulnerability was found in HAPI FHIR, a Java implementation of the FHIR standard for healthcare interoperability. The issue stems from regex processing, which can be exploited by malicious patterns to exhaust CPU resources, causing a denial of service (DoS). Users must promptly update the library to the latest version.