A market outlook report was released covering the size and forecast of the HL7 FHIR Middleware Software market through 2033. This analysis identifies key growth drivers and industry trends shaping the market.
The discussion focuses on integrating FHIR standards with real-time inference capabilities for advanced point-of-care AI. This integration aims to advance the capabilities of AI tools used directly at the point of patient care.
HL7 has launched a dedicated implementation community for device interoperability. This initiative aims to standardize how medical devices integrate with healthcare IT systems.
Multiple pilot programs are focusing on improving the interoperability of behavioral health data. This effort utilizes FHIR standards to establish guidelines for behavioral health profiles.
Hospital reforms are increasing pressure, making data sovereignty a critical factor during hospital mergers. The IT infrastructure often determines the pace and cost of these clinic mergers.
Microsoft announced the development of an Azure IoT Connector for FHIR. This tool aims to improve the security and integration of Remote Patient Monitoring (RPM) data.
A comparison was performed between two instances of the FHIR ValueSet 'servicerequest-category'. This comparison utilized the StarsApi framework for analysis.
Epic Systems provided specifications regarding the handling of FHIR data. This process ensures that data loaded from external FHIR servers maintains the format it was originally received in.
A new LOINC code (101397-8) was published for copy number variation analysis in blood or tissue by sequencing. This standardizes the reporting of genetic test results within healthcare interoperability systems.
Epic provided technical specifications regarding a specific FHIR API. This API is noted to differ from the existing Specimen.Search (Patient Chart) (R4) functionality.
Altarum is undertaking an implementation project using FHIR standards. This initiative aims to achieve faster and more standardized data exchange for vital records.
FHIR-based APIs are presented as a solution for managing prior authorization delays. This technology enables structured and fast data exchange in healthcare.
The FHIR Server made available content for LOINC Code 36421-6, which pertains to CTA Upper extremity vessels. This update ensures standardized data representation for vascular imaging procedures within the FHIR framework.
The FHIR Specification details its operations framework, which supports the definition of custom operations. This feature expands the capabilities of FHIR for specialized use cases.
The HL7 FHIR at Scale Taskforce (FAST) is working to ensure trusted and scalable implementation of interoperability standards. This effort aims to advance nationwide exchange of health information.