The adoption of FHIR for electronic Patient Identification (ePI) is expected to stimulate the delivery of healthcare applications. This development highlights the growing importance of standardized interoperability in modern healthcare systems.
AWS provided documentation for reading FHIR resources within AWS HealthLake. This documentation directs users to the FHIR RESTful R4 read API documentation for further details.
Trisotech showcased the integration of FHIR data with various process modeling notations, including BPMN, DMN, and CMMN. This combination aims to enhance healthcare process management and data utilization.
AWS provides functionality to create FHIR resources directly within the HealthLake data store. This feature utilizes the FHIR R4 RESTful API for resource creation.
A meeting was held regarding the integration of SQL capabilities with FHIR standards. This effort aims to enhance data querying and interoperability using structured query language within the FHIR framework.
An example demonstrating the use of FHIR Condition resources for Dental Caries was released. This example is part of the HL7 FHIR Specification, specifically referencing the Data Exchange v2.0.0 ballot.
Medicare Payers are required to support the portability of patient data. This requirement mandates the use of FHIR APIs for transferring patient data to and from various systems.
HL7 provided an extraction example for the ServiceRequest resource. This example is designed for use in Dental Data Exchange, demonstrating FHIR compliance.
AWS is enhancing healthcare data interoperability through the use of its API Gateway service. This effort utilizes the Fast Healthcare Interoperability Resources (FHIR) standard to improve data exchange.
The market for healthcare interoperability solutions is projected to reach USD 6.2 billion by 2027. The adoption of standards like HL7 FHIR and IHE Profiles is expected to support this growth.
Availity showcased an authentication workflow that moves from submission to approval in approximately 90 seconds. This demonstrates the efficiency of using FHIR standards for streamlined healthcare processes.
HL7 International announced that registration for its FHIR Fundamentals Course will close on October 17. The course aims to teach participants about FHIR standards directly from the source.
A new model called FHIR-Former was developed to improve clinical predictions. This model leverages the Fast Healthcare Interoperability (FHIR) standard for enhanced data interoperability.
HL7 International is hosting a live event to present the results regarding the State of FHIR in 2025. This event aims to provide an update on the adoption and status of FHIR standards.
fhir.ch published a JSON representation for Influenza using the FHIR R4 standard. This resource is part of the ongoing development and evolution of the FHIR standard, with a newer version (1.11.0) superseding the current one.
A discussion was held concerning potential overlaps and redundancies within the FHIR standard. The suggestion was made to converge these overlapping standards to improve efficiency.
A ConceptMap was released detailing the mapping between DocumentEntryClassCode and DocumentEntryTypeCode. This resource contributes to the standardization of document entry data within the FHIR framework.