Search results for "FHIR": 27 articles
To solve the problem of fragmented medical records across various institutions, India is utilizing FHIR, a standard developed by HL7. Through the government-led ABDM initiative, a foundation for seamless data exchange among diverse players like hospitals and pharmacies is being built.
This article details training offered for professionals aiming to advance their careers in the Indian healthcare IT sector, focusing on standard interface engineering using HL7 and FHIR. It provides practical learning opportunities utilizing message parsing logic (such as ADT and ORU) tailored to local hiring needs.
According to Google's Rajroshan Sawhney, India can serve as a global model for AI-powered healthcare solutions by leveraging its digital public infrastructure and addressing large-scale healthcare challenges. This development could make medical services increasingly personalized.
The National Health Authority (NHA) launched Aarogya Setu 2.0, utilizing Google’s Gemma 4 AI model to standardize and integrate India's fragmented paper-based medical records into a digital Personal Health Record (PHR) based on the FHIR standard.
The National Health Authority (NHA) has upgraded the app 'Aarogya Setu 2.0' using Google’s open-source AI model, Gemma 4, and its Medical Data Toolkit. This allows users to automatically generate comprehensive, standardized health record profiles from unstructured medical reports.
The National Health Authority (NHA) of India has integrated Google's AI capabilities into the new 'Aarogya Setu 2.0' application. This allows users to create comprehensive digital health profiles by processing unstructured medical records.
The National Health Authority (NHA) integrated Google's AI capabilities, including Gemma 4 and the Medical Data Toolkit, into the Aarogya Setu 2.0 app. This allows users to process unstructured medical records, build digital health profiles, and enhance interoperability.
The National Health Authority (NHA) has incorporated Google's AI technology into the 'Aarogya Setu 2.0' application. This enhancement allows users to create detailed digital health profiles by analyzing unstructured medical records, thereby supporting electronic health record sharing and interoperability across India.
Google utilized the AI model 'Gemma 4' and a 'Medical Data Toolkit' to enhance the 'Aarogya Setu 2.0' application. This enhancement allows for the generation of digital health profiles from unstructured medical records.
India’s National Health Authority (NHA) launched the new 'Aarogya Setu 2.0' app. Utilizing Google's open Medical Data Toolkit and Gemma 4 models, the app processes and structures complex medical records, thereby strengthening the digital public infrastructure.
The Indian government is building an integrated digital health ecosystem through the Ayushman Bharat Digital Mission (ABDM). This allows patients, hospitals, and insurers to securely exchange information using common standards, improving continuity and efficiency in healthcare.
The Ayushman Bharat Digital Mission (ABDM), driven by the Indian government, has established a national digital health infrastructure. It enables secure health data exchange based on patient consent, requiring healthcare facilities to integrate using standards like FHIR R4.
ABDM has launched the 'ABDM FHIR Terminology Service,' a standards-compliant FHIR terminology API. This service aims to simplify the management of ABDM CodeSystems and ValueSets, accelerating the certification process for healthcare developers.
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.
This document provides an overview of the Fast Healthcare Interoperability Resource (FHIR) and its implementation guide for India's Ayushman Bharat Digital Mission (ABDM). It emphasizes data exchange and interoperability, detailing how various clinical artifacts and resource profiles are used for practical adoption.
Google announced a partnership with the National Health Authority (NHA) in India to deploy advanced Artificial Intelligence (AI) for converting medical records into an internationally acceptable, machine-readable format. This effort is expected to improve patient understanding of their health data and inform better public health policy decisions.
At the India AI Impact Summit 2026, Google announced significant funding and collaborations aimed at advancing AI utilization in India’s healthcare sector using its Digital Public Infrastructure (DPI). Notably, collaboration with the National Health Authority (NHA) will standardize millions of unstructured medical records into FHIR format.
Google announced $400,000 funding to build India-specific health foundation models. The company also plans to convert millions of unstructured clinical notes into the global FHIR standard and support research and startups.
Trivitron Healthcare formed a joint venture with ResoHealth, creating Trivitron Digital.AI (TDAI). This platform aims to accelerate the transition toward AI-enabled, interoperable, and patient-centric smart hospital ecosystems.
The Ayushman Bharat Digital Mission (ABDM) aims to enable digital health record sharing through Health Information Provider (HIP) services in its second milestone (M2), following the ID generation and verification of M1. This establishes a mechanism where patient medical data flows seamlessly across hospitals and clinics in a standardized, secure, and interoperable manner.