Guide to building FHIR applications using AI
The content provides instructions on developing a FHIR application utilizing artificial intelligence. FHIR is a standard designed for healthcare interoperability.
3,159 FHIR-related articles (latest first)
The content provides instructions on developing a FHIR application utilizing artificial intelligence. FHIR is a standard designed for healthcare interoperability.
A Fraunhofer research project developed new AI-based software. This initiative utilizes FHIR standards to enhance interoperability in healthcare systems.
The discussion focused on digital health enablement and the role of FHIR standards. The conversation highlighted the ongoing advancements in interoperability within the digital health sector.
A resource was made available for converting healthcare data using FHIR standards. This tool aims to streamline the process of healthcare data interoperability.
InterSystems has released a tool for extracting and transforming data from FHIR into the OMOP format. This capability facilitates the integration of clinical data into the OMOP common data model for research purposes.
Hyland Software released product documentation for its OnBase platform, specifically addressing FHIR standards. This documentation relates to the Foundation 25.1 release, indicating support for modern interoperability standards.
The discussion focuses on utilizing FHIR APIs and OAuth 2.0 authentication for EHR integration. This approach aims to standardize and secure data exchange across different systems.
CA/UN HAPI released a new version (1.4) of its HAPI FHIR Japan Server Base. This update provides updated resources for FHIR implementation in Japan.
The adoption of e-prescribing is noted as a complex challenge requiring multiple solutions. Utilizing FHIR-based APIs for patient access and prior authorization is suggested to speed up this process.
The article discusses the necessity of standardized data frameworks for healthcare organizations. It positions HL7 FHIR as the appropriate standard for various organizational needs.
HL7 International released the JSON representation for FHIR Clinical Documents v1.0.0-ballot. This guide provides structured documentation for FHIR Clinical Documents.
The webinar focused on the use of CQL (Clinical Query Language) in the context of quality measures. It highlighted how FHIR-based data models can seamlessly integrate with CQL.
The FHIR v6.0.0 Ballot2 draft introduces the 'color-names' codesystem. This standard provides a structured way to represent color information within FHIR resources.
A presentation was given detailing the connection of FHIR patient data with pangenome graphs. This work was presented at the ISMB 2024 conference.
The news describes a method to extract valuable patient data from the Epic system. This process utilizes FHIR bulk export capabilities to facilitate data extraction.
Veeva Systems has posted a job opening for a FHIR Integration Software Engineer. The role is full-time and offers remote work options.
The healthcare industry is exploring how Artificial Intelligence (AI) can enhance interoperability using FHIR standards. This trend suggests a future where AI supercharges the implementation and use of FHIR in healthcare systems.
Google has exposed APIs related to its pipeline controller. This action aims to facilitate broader integration using FHIR data standards.
InterSystems showcased its tools for managing FHIR data, specifically demonstrating the FHIR Repository and FHIR SQL Builder. These tools facilitate the development and querying of FHIR-based applications.
CGI is advertising job openings for Technical Product Owners with a focus on FHIR standards. These roles require expertise combining product management, APIs, and big data science.