A FHIR Evidence Resource was developed to track the number of participants experiencing hospitalization for major bleeding. This resource aims to standardize the reporting of clinical evidence related to major bleeding events.
The article discusses using SQL on FHIR to create tabular views of FHIR data. This capability allows for easier querying and analysis of complex healthcare data structures.
A utility has been released for testing HL7 FHIRPath expressions on the Microsoft Store. This tool provides a definitive testing environment for FHIRPath syntax.
AWS has launched HealthLake in the European Union. This service allows healthcare providers and EHR systems to unify and manage clinical data using FHIR standards.
Google Cloud is implementing features for managing FHIR resources through its Cloud Healthcare API. This capability supports comprehensive data handling, including data import and export using Cloud Storage.
Canvas Medical released updates to its EMR customization features. These updates include support for FHIR API and SDK, enhancing interoperability capabilities.
A system associated with Sundhed.dk executed a POST request to fetch careteam statistics using FHIR standards. This indicates the integration and use of FHIR APIs within the Danish healthcare digital infrastructure.
AWS released a guide discussing the various approaches to adopting FHIR standards, including buying off-the-shelf solutions, partnering, or building custom systems. The guide covers FHIR architecture fundamentals and the benefits of using FHIR in healthcare.
A study was conducted to observe how health information exchange usage patterns changed after the introduction of FHIR. This research aims to understand the impact of modern interoperability standards on clinical data flow.
ABDM published an updated FHIR Implementation Guide focusing on the InsurancePlanBundle resource. This guide provides technical examples for implementing the bundle within the ABDM framework.
The Ministry of Health and Welfare initiated a research project focused on FHIR-based data exchange and utilization methods. This initiative aims to establish standardized frameworks for healthcare data sharing within Japan.
Suwon University Industry-Academic Cooperation Foundation
Validation inconsistencies were identified concerning the FHIR type Coding and binding strength extensibility. This issue was reported on GitHub, suggesting a technical standard review is needed.
Prodoc AI offers FHIR integration capabilities designed for seamless connectivity with Electronic Medical Record (EMR) systems. This service ensures standards-compliant data exchange across different hospital platforms.
AWS provided documentation detailing FHIR Search Consistency Levels for AWS HealthLake. This feature allows users to specify consistency levels, such as 'strong', to ensure all matching records are returned.
An extension was defined for the FHIR Coding data type to manage medication type data. This extension allows for more granular and standardized representation of medication types within FHIR resources.
The Al-Kindi Center for Research and Development is focusing on the convergence of FHIR standards and Artificial Intelligence (AI). This convergence aims to revolutionize healthcare data interoperability.
The article provides guidance on developing FHIR servers using established tools like HAPI FHIR and Azure API for FHIR. FHIR is a standardized protocol used for healthcare interoperability.