Aidbox has published a comprehensive guide on setting up the "MCP FHIR Server," which simplifies the creation and editing of FHIR resources. This functionality allows for setup with just one command, enabling management of FHIR resources from LLM desktop applications.
The healthcare sector holds massive amounts of data that, if utilized, can significantly improve care and accelerate innovation. This requires standardized data exchange and robust security measures, with standards like FHIR playing a central role.
Sealmatic presented an approach titled 'Pehle Rokda, Fhir Raasta,' focusing on FHIR (Fast Healthcare Interoperability Resources). This suggests a specific technical strategy for the healthcare IT sector, where ensuring interoperability is a key challenge.
Google officially launched the latest Android 16 (final version) on June 10, 2025. This version integrates features that enhance productivity and personalization, notably including the ability to handle medical data via Health Connect.
npj Digital Medicine proposed a method allowing structured queries, similar to SQL, to be applied to FHIR data. This enables the extraction of data directly from FHIR resources into a tabular format (tabular views), significantly enhancing analytical flexibility.
The article emphasizes that successful FHIR implementation requires not just technical expertise, but also a diverse team composed of members with various specialized knowledge. It argues that developers and analysts must be supported by clinical, terminology, business, and legal/privacy domain experts from the initial stages.
This article guides the process of synchronizing FHIR resources into BigQuery using Google Cloud functions. It details setting up a FHIR store, configuring data export, and establishing streaming from multiple stores.
AWS has launched HealthLake for European healthcare and life sciences customers. This allows them to store, transform, and analyze health data using FHIR standards while maintaining data residency within the EU.
The article discusses how Artificial Intelligence (AI) can enhance data management and patient autonomy. By combining AI with standardized data exchange frameworks like FHIR and TEFCA, it becomes possible to build a more secure and efficient patient-centered ecosystem.
Amazon Web Services (AWS) has expanded its healthcare data processing service, AWS HealthLake, to the EU (Dublin) Region. This expansion allows European healthcare providers and insurers to store and analyze their health data while maintaining data residency within the EU.
Computable Publishing has published the evidence variable for the clinical trial data, 'Number of Participants Experiencing Hospitalization for Nonfatal Stroke (NCT02697916),' as an FHIR EvidenceVariable Resource. This resource aims to standardize a key outcome measure from a specific study and enhance interoperability.
Workato demonstrates the integration of FHIR data and MongoDB Atlas to build powerful automation workflows. This allows for centralized management of medical data triggers and actions.
The National Resource Center for EHR Standards (NRCES) has released concrete usage examples for the 'InsurancePlanBundle' resource, as part of the ABDM v6.5.0 FHIR Implementation Guide. This material demonstrates standard data structures and methods for healthcare information exchange, serving as a reference for data model design in Japan's electronic medical records and system integration.
The World Health Organization (WHO) has released SMART Base v0.2.0. This base conformance resource is built upon the FHIR R4 standard and is intended for use in future WHO SMART Guidelines implementations.
This article demonstrates how a specific observation data point (LOINC: 44251-7) from the PHQ-9 screening tool is structured using the FHIR standard in TTL format. It details the representation of an item concerning 'Poor appetite or overeating,' showing how patient information, performer, and measured values are standardized for clinical data exchange.
The developer created a Ballerina connector compatible with FHIR repositories. This connector can connect to any FHIR backend and perform various FHIR resource manipulation operations, including asynchronous bulk data export.
Prodoc AI offers seamless, standards-compliant connectivity to any Hospital Information System (HIS) or Electronic Medical Record (EMR) using the FHIR standard. This enables real-time care journey generation and accelerates data utilization while maintaining full hospital IT control.
FHIR, a standard protocol developed by HL7, enhances healthcare data interoperability. The article explains how implementing a FHIR server centralizes fragmented patient data, enabling secure and structured information sharing.