1,676 FHIR-related articles (latest first)
This article is a technical reference detailing FHIR resource definitions for healthcare information exchange. It specifies multiple classes (resources) such as 'Communication' and 'DeviceRequest,' which are designed to record communications, alerts, or device usage status. This allows complex clinical data, like alert notifications or medical device history, to be structured and exchanged effectively.
This guide defines the technical specifications for creating, updating, and searching 'Liaison Records' within electronic health records. It proposes two approaches—RESTful and transactional—and details how to manage resources (such as Patient, DocumentReference) using HTTP methods, all based on the FHIR R4 standard.
HL7 and Gravitate Health achieved consensus at the FHIR Connectathon 37 regarding lifecycle management for electronic Product Information (ePI). Participants established technical best practices utilizing identifiers like PhPID and GTIN to ensure version control and traceability.
The validation functionality for FHIR resources and requests was introduced through an external validation service front-end provided by IHE. This tool aims to improve data connectivity in the healthcare sector, with development involving institutions such as INRIA and KEREVAL.
Sonata Software offers a Proof of Concept (PoC) utilizing Azure Health Data Services and FHIR standards to achieve data interoperability in the healthcare and life sciences sectors. The solution aims to integrate data from disparate sources, such as EMRs and MedTech devices, enabling comprehensive analysis and insights.
This article provides detailed technical specifications for the data object 'Coverage' within the Fast Healthcare Interoperability Resources (FHIR) standard. This resource manages critical information such as subscribers, contracts, and periods, providing a foundation for enhancing healthcare data interoperability.
HL7 FHIR DevDays is announced to be held from June 3-6, 2025, in Amsterdam. This event serves as a gathering point for technical knowledge regarding interoperability in the healthcare sector.
This document provides various resource definitions for critical aspects of healthcare information, including 'Security,' 'Consent Management,' and 'Data Provenance.' These resources offer structured rules detailing who has what permissions to access data, under what conditions, and how the reliability and history of that information must be tracked.
Better explains its system for managing operational data by combining the open standards FHIR and openEHR. This approach allows it to maintain the entire patient record (including demographics and encounters) while also managing organizational master data with high security and scalability.
The author shares
A critical vulnerability, CVE-2024-51132, has been found in FHIR software (versions 6.0.0–6.3.32). This flaw allows for the leakage of confidential information by exploiting improper restrictions on external entity references within XML.
This article provides a technical tutorial on implementing FHIR Primitive Extensions. It details three distinct approaches—using Dynamic Objects, specific class models, and the latest FHIR Object Model—with code examples for developers to apply in practice.
This page provides learning resources aimed at deepening knowledge and achieving certification in the healthcare interoperability standard, HL7-FHIR (STU3). It covers a wide range of topics through detailed syllabi and practice questions, including terminology, implementation guidance, and resource concepts.
This page provides practice exam materials for the HL7-FHIR standard, covering various topics such as resources, data models, and RESTful API operations. Users can study a wide range of subjects to confirm their knowledge and aim for certification.
This article provides a technical tutorial detailing the process of implementing and deploying an FHIR service developed with the Ballerina language, utilizing the WSO2 Choreo iPaaS platform. It outlines steps from local setup to deployment as a Choreo component.
Medidata is revolutionizing clinical trials using advanced digital platforms. Its 'Health Record Connect' securely integrates EHR data with industry standards like FHIR, improving visibility and collaboration across the entire research process.
A DevDays panel presented a demonstration on utilizing Large Language Models (LLMs) to process longitudinal health records using FHIR standards.
Palantir provided a solution allowing flexible conversion between OMOP and FHIR formats, enabling comprehensive utilization of Electronic Health Record (EHR) data. This allows researchers and clinicians to access data in their most familiar format, facilitating application across large-scale Real World Evidence (RWE) workflows.
The FHIR Terminology Server enhances data consistency by providing standardized medical vocabularies for electronic health records and data exchanges. This enables seamless information sharing among diverse healthcare systems, improving patient care quality.
A framework was introduced for encoding clinical problems using HL7 FHIR standards.