The discussion focused on building healthcare applications that can function even without continuous connectivity. This approach utilizes SMART on FHIR and Hive to ensure robust data flow and user experience.
HL7 released documentation detailing the XML representation for the Segment Group vocabulary (2.7 - 5.0.0). This update supports the technical implementation of FHIR standards using XML formats.
CMS has issued a mandate (CMS-0057-F) requiring payers to support specific interoperability and prior authorization functions. This aims to improve healthcare data exchange and streamline patient care processes.
The discussion focuses on achieving compliance with the AI Act within the MyHealth@EU framework. This involves maintaining FHIR message integrity while ensuring compatibility with existing standard structures.
Google Cloud published documentation regarding the retrieval of FHIR resources. This API allows users to access and manage healthcare data resources within the Google Cloud ecosystem.
DaCodes is working on developing and maintaining FHIR integrations for Epic's SaaS and SaMD platforms. This work ensures compliance with standards like HIPAA.
An experimental CodeSystem for Action Code (2.3 - 1.0.0) was developed for the FHIR v2+ vocabulary. This development was built using the FHIR (HL7® FHIR® Standard) Build Tools.
Google Cloud provided documentation on applying patches to FHIR resources. This feature is part of the Cloud Healthcare API, allowing developers to update existing FHIR data structures.
A guide was published detailing the implementation of SMART on FHIR using CDS Hooks and the Coverage Resource. This resource helps developers understand how to integrate clinical concepts like Patient and Observation into the FHIR standard.
The discussion covered the intersection of FHIR standards and the well-being of individuals, families, and communities. The focus was on integrating social care data into health records to improve overall community health outcomes.
Providence and Humana are collaborating to simplify data exchange using FHIR-based models. This effort is part of the broader work within the HL7 Da Vinci Project FHIR Pilots group.
Te Whatu Ora has released the FHIR Screening Implementation Guide v1.0.2. This guide provides technical specifications for implementing FHIR-based screening processes.
The market for health data interoperability platforms is expected to grow significantly. This growth is driven by the increased adoption of standards such as HL7 FHIR, CDA, and DICOM.