Search results for "FHIR": 1,661 articles
This page provides the definition of a FHIR ValueSet that aggregates multiple SNOMED CT codes related to indwelling Foley catheters. This ValueSet encompasses various types of male and female catheters made of silicone or latex, contributing to the standardization of medical information.
The `Primitive` trait defined in `fhir_rs::prelude` establishes a common interface for fundamental data types within FHIR. This allows various simple data types (e.g., strings, booleans, dates) to exhibit uniform behavior and be handled consistently across the system.
Electronic Health Records (EHR) are evolving beyond simple paper replacements into sophisticated tools that integrate AI, machine learning, and remote monitoring data. Improvements in interoperability, particularly through the FHIR standard, coupled with cloud adoption, enable more comprehensive and patient-centric care.
This academic work discusses the FHIR (Fast Healthcare Interoperability Resources) standard. It analyzes specific technical aspects and application cases, providing insights that contribute to improving interoperability in healthcare information systems.
特定の皮膚炎に関連する概念群をまとめたValueSetが公開された。このValueSetは、ICD-9-CMシステムを参照し、複数の種類の皮膚炎コードを含んでいる。
Mindbowser Inc is hosting a masterclass focused on connecting healthcare applications to the Epic EHR. Experts will share key integration steps, best practices, and case studies for attendees to gain practical knowledge.
The FEvIR platform has provided a comprehensive 'ConceptualCohortDefinition' for various drug groups used in diabetes treatment (including SGLT-2 inhibitors, GLP-1 receptor agonists, etc.). This allows multiple drug classes with diverse mechanisms of action to be defined as a single group, contributing to the efficiency of data analysis and research.
Microsoft has published the latest technical information regarding its FHIR API. As the API is scheduled for deprecation on September 30, 2026, users are advised to migrate to the FHIR® service within Azure Data Services Integrity. Furthermore, multiple bug fixes and performance enhancements were implemented in 2025, including improvements to $expand and re-indexing processes.
Google has released the first Beta 1 version of Android 16. This version enhances medical data handling through the Health Connect app, enabling reading and writing of electronic health records in the FHIR standard format.
The org.hl7.fhir.publisher package, a crucial component of the HL7 FHIR ecosystem, has been found to have an XML External Entity (XXE) injection vulnerability. This flaw poses a risk of sensitive data leakage from the host system through the processing of malicious XML files.
GoSmart.Health provides development support for mobile and web applications that integrate Electronic Health Records (EHR) systems with clinical imaging data (DICOM). They assist hospitals and AI startups in building solutions ranging from accurate, fast care context provision to comprehensive AI model development using integrated data sources.
This article provides a detailed tutorial on customizing the 'Bundle' resource using the FHIR JSON schema. It teaches developers how to manually add missing elements, such as Medication and MedicationRequest, to an existing structure.
FEvIRプラットフォームは、Characteristic Resourceを生成・表示するためのツール「Characteristic Builder/Viewer」に関する最新の仕様変更（リリースノート）を発表した。本機能は、FHIRリソースの構築と閲覧を容易にし、医療データ交換における標準化に貢献する。
Pegasus One offers multiple FHIR-related packages to support system modernization and application development in the healthcare sector. These options range from basic integration to advanced app development and strategic advisory services.
Pegasus One offers multiple pre-designed packages to assist with the modernization and application development of healthcare information systems. These options range from basic integration support to advanced feature development and strategic compliance advisory.
This study proposes using Large Language Models (LLMs) for semantic Question Answering over vast Electronic Health Records (EHRs). It demonstrates that privately hosted, fine-tuned LLMs outperform benchmark models in performance while ensuring privacy.
The Fast Evidence Interoperability Resources (FEvIR) Platform has implemented advanced features through continuous API updates, enabling the handling of multiple FHIR resources. This improves the flexibility of medical information exchange by allowing single concept retrieval and integration with complex research data (such as ClinicalTrials.gov).
The healthcare industry is racing toward full interoperability, centered on FHIR. Pairing this with AI transforms FHIR from a mere data exchange protocol into a dynamic and intelligent ecosystem.
FHIR (Fast Healthcare Interoperability Resources) is recognized as a critical standard for connecting disparate healthcare systems. While facing technical challenges like legacy infrastructure and data non-standardization, it also offers immense opportunities to transform care through AI integration and patient empowerment.
In the healthcare IT sector, Fast Healthcare Interoperability Resources (FHIR) plays a central role, enabling secure data exchange using RESTful APIs. This technology is advancing efficiency and standardization across various healthcare domains, such as EHR integration and remote patient monitoring.