Barmer and AOK have launched a feature to provide digital medication leaflets within their e-patient record application. This initiative connects to a central database, improving the accessibility of structured patient information.
A cross-version extension for MessageDefinition.responseRequired was introduced for FHIR R3. This element allows for standardized handling of response requirements across different FHIR versions.
Verily has introduced FHIR-AgentBench, a new open-source standard. This tool aims to establish safe and trustworthy standards for the development of Health AI.
Barmer and AOK are providing package inserts digitally through an application for e-patient records. This initiative aims to move beyond simple PDF collections of documents.
Users encountered issues with OAuth and FHIR functionality after upgrading OpenEMR to version 7.0.3. The problem relates to the handling of previously generated keys during the upgrade process.
Edenlab performed a data transfer from multiple Electronic Health Records (EHRs) to the Zoadigm FHIR analytics platform. This process involved migrating siloed clinical and financial data.
Standards supporting patient-controlled Personal Health Records (PHRs) using SMART/HL7 Bulk Data have been established. These standards are intended to facilitate the use of PHRs as a platform for AI-directed healthcare.
Wolters Kluwer predicts a significant increase in the adoption of healthcare AI by 2026. This growth is expected to be driven by advancements in workflow integration and clinical surveillance technology.
FHIR.org released a StructureDefinition detailing a cross-version extension for the ResearchStudy.partOf element in R3. This update provides compatibility for the ResearchStudy.partOf element across different FHIR versions.
A Cross-Version Extension for MeasureReport.group.stratifier.stratum.value was published by FHIR.org. This extension is available for use in various contexts within the FHIR standard.
ZeOmega received recognition in the 2025 Gartner Market Guide for US Healthcare. The company utilizes AI and analytics to automate workflows and identify at-risk patients.
Google committed $8 million to establish and advance AI centers in India. This initiative includes rolling out health and developer programs aimed at improving patient data interoperability using standards like FHIR.
The discussion highlighted gaps in the CMS-0057 standard regarding verifiable digital identity. This suggests a need for a robust trust layer to enhance healthcare data security and interoperability.
A technical issue was identified concerning the incorrect usage of the sourceVersion element within the ConceptMap resource. This issue was reported in the hapi-fhir library, noting that the affected resources are not versions of the same CodeSystem.