1,676 FHIR-related articles (latest first)
This article explains data standards for healthcare information exchange, pointing out that while specialized standards like HL7 V2, V3, and FHIR are used, general Electronic Data Interchange (EDI) is not considered a specific health integration standard.
FHIR is an international standard for electronically exchanging healthcare information. Developed by HL7, it enables different systems and applications to connect data and be utilized.
This guide explains how to export healthcare messages stored in HL7v2 format using Google Cloud's Cloud Healthcare API. This process allows for the bulk extraction of data into Cloud Storage, enabling subsequent processing and analysis.
Computable Publishing LLC provides the 'FEvIR®: Resource Viewer,' which is a tool designed to view and utilize structured healthcare information, such as electronic health records or clinical data, in standard formats.
A student from the University of Waterloo presented a method utilizing the open-source HL7 FHIR standard to generate token IDs from electronic health record data for machine learning. This method was validated on the MIMIC-IV FHIR dataset for tasks such as length-of-stay and mortality prediction.
Computable Publishing published a 'InterventionDefinition' for Sodium-Glucose Transport Protein 2 (SGLT2) inhibitors on the FEvIR platform. This exemplifies standard data structuring for ensuring interoperability of medical information.
本記事は、FHIRを利用したアプリケーションを構築する技術アーキテクト向けに、実務経験に基づいた5つの重要なトピックを紹介している。具体的には、プロキシレイヤーの導入、Taskリソースを用いたワークフロー設計、データ匿名化の方法、バージョン間の変更点、そしてセキュリティや監査対応といった必須要件について解説している。
Infosys provides a healthcare interoperability platform (IHP) based on FHIR R4, aiming to enable payers and providers to give patients access to their health information and improve overall system interoperability. The platform utilizes a de-coupled architecture for rapid integration into existing applications.
This page publishes the specification for a FHIR resource called 'ehealth-guidanceresponse,' provided by eHealth Infrastructure (v2019.5.1). This resource offers detailed definitions regarding its data structure (Detailed Descriptions, Examples, XML/JSON formats), serving as a standard reference material for healthcare information exchange.
The article demonstrates that developers can use the HAPI FHIR library to convert medication dosage information (Dosage) based on the FHIR standard into human-readable text. This enhances display accuracy and usability of dosages in electronic health records and medical systems.
GetTech offers a solution for managing and exchanging healthcare data, including medical images, in the cloud using global standards like FHIR and DICOM. This enables faster diagnosis and support for advanced workflows.
This article explains how to use an API to retrieve the latest records for a specific critical health information type, such as AllergyIntolerance, for a given patient. It provides cURL examples and FHIR Bundle response examples for developers using a HelseId token.
MassLight has introduced two complementary platforms, 'Oystehr' and 'Ottehr', to support EHR and health tech development. These provide a backend infrastructure and an open-source frontend, enabling the creation of highly customizable medical solutions.
A vulnerability was reported in the Health Level 7 (HL7) FHIR standard, allowing data confidentiality breaches. An attacker can steal data by sending a specially crafted XML file.
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.