The National Health Authority (NHA) concluded the NHCX Hackathon under the Ayushman Bharat Digital Mission (ABDM), showcasing innovative solutions for health insurance claims processing and ecosystem interoperability. Winning teams presented their work at the NHCX Innovation Meet in March 2026.
Researchers proposed 'BlockIoT,' a unified framework designed to securely integrate decentralized health data from IoT devices into FHIR-compliant electronic health records. The system leverages semantic web and blockchain technology to build a reliable bridge between real-time personal data and clinical systems.
This guide details the process for healthcare organizations registering with Apple Health Records. It provides specific procedures on how to update organizational information, contacts, and FHIR API endpoint details.
GE HealthCare announced a suite of AI-powered healthcare solutions at the HIMSS Global Health Conference 2026. The company also became a founding member of the HL7 Caliper FHIR Accelerator, committing to advancing healthcare data interoperability standards.
Amazon Web Services (AWS) announced 'Amazon Connect Health,' an AI-driven platform designed to automate repetitive administrative tasks within healthcare institutions, such as appointment scheduling and document processing.
Amazon Web Services (AWS) has launched a new AI agent platform, 'Amazon Connect Health,' specifically designed for the medical field. The service aims to automate administrative processes in healthcare organizations, such as patient scheduling and documentation.
This document is a technical reference detailing the `FHIRServer` class within the AWS SDK for C++'s ConnectHealth model. This class manages server connection settings based on the Fast Healthcare Interoperability Resources (FHIR) standard, facilitating access to patient data.
Echo-Health connects to existing Practice Management Systems (PMS) using FHIR R4, enabling integrated patient data without requiring data migration or platform switching. This allows clinicians to access comprehensive patient intelligence in real time at the point of care.
Amazon Web Services (AWS) launched 'Amazon Connect Health,' a new platform utilizing AI agents. This platform helps healthcare organizations automate repetitive administrative tasks such as appointment scheduling, documentation, and patient verification.
This page provides reference information related to Health Device Data Transfer. Specifically, it allows users to access a code system defining specific measurement methods and reference values based on the FHIR standard. This aids in data standardization and quality control.
Clover Health announced a partnership with Kno2, becoming the first payer to operate on both the CMS Aligned Network and TEFCA. This enables real-time patient access to claims data, aiming to improve healthcare data interoperability.
This page introduces the search and management functionality for code systems, combining large medical knowledge bases like UMLS (Unified Medical Language System) with standards such as FHIR (Fast Healthcare Interoperability Resources). Users can systematically reference various types of codes and terms to acquire necessary information for building Value Sets.
In healthcare, interoperability has become the essential technical foundation for AI-driven applications and digital products. Yanick Gaudet, an HL7 co-chair, explains that due to data fragmentation across various systems, migrating to the FHIR standard is critical for modernizing healthcare IT.
Maximilian Schoeppe, an IT expert at Black Tusk GmbH, has a background in biomedical engineering and epidemiology. Since 2020, he has served as COO, strategically focusing the organization on FHIR, contributing through consulting and product development.
AWS has introduced a data transformation agent for HealthLake, enabling the automated conversion of traditional clinical documents (CCDA) into queryable FHIR resources within days. This facilitates various medical use cases, such as generating longitudinal patient records and public health analysis.