interRAI Australia released a feasibility analysis report concerning the DHCRC. The report suggests implementing a SMART on FHIR application to standardize and simplify system integration.
Roundtrip, a healthcare technology company, launched a new integration solution powered by FHIR. This product aims to transform healthcare data exchange and interoperability.
The content discusses the historical role of HL7v2 in healthcare integration. It compares HL7v2 with FHIR, suggesting a comparison of standards is the focus.
Automatic data exchange of diagnosis and treatment data was successfully implemented between fifteen hospitals and the Dutch Cancer Registry. This system enhances the reliability and completeness of cancer data reporting.
The Massachusetts Health Data Consortium has selected Datycs to enhance the streamlining of clinical data. This initiative leverages FHIR standards to improve data management within the healthcare sector.
HL7 International is holding its annual Plenary, WGM, and FHIR Connectathon events. Early bird registration for these health IT events ends on August 22.
AMIA is soliciting submissions for SMART on FHIR applications for its upcoming 2025 Annual Meeting. This encourages the development and presentation of interoperable healthcare tools.
The topic explores the integration of Artificial Intelligence (AI) with FHIR standards. This integration aims to enhance healthcare interoperability and predictive capabilities.
The discussion centers on the use of Fast Healthcare Interoperability Resources (FHIR) standards. FHIR is an interoperability standard designed to facilitate healthcare data exchange.
HL7 International is hosting a Connectathon event on August 16, 2025. The event aims to allow participants to build, test, and exchange real data using FHIR interfaces.
Moehrke Research provided information regarding the authorization purposes for delegation access valueset. This discussion relates to hierarchical FHIR code lists and their proper definition.
Trisotech discussed the importance of connected care when rapid response is necessary. The discussion focused on leveraging AI and FHIR standards to improve patient care.
HL7 International published an experimental ValueSet defining Diagnostic Service Section IDs. This resource is part of the broader FHIR standard development process.
The Smile CDR HAPI-FHIR server has been updated to support the Patient/$everything operation. This feature allows for enhanced data retrieval capabilities using FHIR standards.
Moehrke Research published an example demonstrating the TTL (Turtle) representation for the FHIR Practitioner resource. This resource is used to model information about healthcare practitioners within the FHIR standard.