Azerbaijani researchers develop AI models for medical applications using code.
Researchers in Azerbaijan are developing medical AI models using coding techniques. This work was conducted at the Biomedical Engineering Institute of AzTU.
3,138 FHIR-related articles (latest first)
Researchers in Azerbaijan are developing medical AI models using coding techniques. This work was conducted at the Biomedical Engineering Institute of AzTU.
HL7 published an Implementation Guide (v0.3.0) focusing on generic functions for FHIR data exchange. This guide is part of the ongoing development of the HL7 FHIR Standard.
A GitHub repository containing mappings for HL7 Data Types from V2 to FHIR R4 was updated. This resource supports the development and content for the V2 to FHIR interoperability project.
An updated FHIR specification for Da Vinci Payer Data Exchange v2.1.1 was released. This update pertains to the FHIR standard and is relevant for payer data exchange.
The article discusses the necessity of FHIR standards for modern Electronic Health Records (EHRs). FHIR is highlighted as critical for aligning EHR systems with modern software architecture.
Drummond has launched a new educational program focused on achieving ONC certification. This program provides instruction related to FHIR Foundational Implementation.
HL7 International is preparing for its upcoming FHIR DevDays event. The event will feature technical sessions and real-world examples related to FHIR.
A SMART Verifiable ValueSet defining the actor for the International Pilgrimage System (IPS) was published. This resource utilizes the FHIR R4 standard for interoperability.
Hospitals are actively integrating FHIR-based solutions and AI technologies for advanced cancer care. This trend highlights the industry's push toward comprehensive, data-driven patient management.
The analysis focuses on the evolution of conformance standards within the FHIR framework. This change addresses the refinement of how FHIR requirements are defined and implemented.
TESCHGlobal is advancing its FHIR test data generation capabilities using SpecKit. This advancement involves integrating Form.io to power the solution.
TESCHGlobal advanced its FHIR testing capabilities by integrating Form.io into its SpecKit. This solution facilitates the creation of complex FHIR test data.
The scope covered FHIR's terminology infrastructure, specifically detailing the use of CodeSystem, ValueSet, and ConceptMap resources. These resources are essential components for managing and exchanging standardized medical terminology within the FHIR framework.
A set of FHIR resources was identified that meet the criteria for both Responsible profiles. This ensures interoperability for resources adhering to multiple core standards.
Form.io and TESCHGlobal have formed a partnership to improve the capabilities of healthcare FHIR test data generation. This collaboration aims to enhance the quality and utility of test data for FHIR implementations.
SMART published guidelines for the ICVP v0.3.0, detailing non-functional requirements. This version is built upon the FHIR R4 standard.
The discussion covered how FHIR, PIQI, and new standards are influencing the development of trustworthy medical AI. The focus is on the critical role of data quality in ensuring the reliability of AI-powered healthcare tools.
FHIR is utilized to standardize core healthcare data elements, including Patient, Observation, and Medication data. This standardization process involves mapping various terminologies to ensure interoperability.
The update concerns the representation of LOINC Code 10888-6, which measures Lipase in Urine. This is part of the ongoing development and standardization of FHIR resources for laboratory data.
HL7 International has published a new cross-version extension for the Requirements.statement.parent element. This extension is designed for use within the FHIR R5 context.