NHA integrates Google AI into Aarogya Setu 2.0 for digital health records
New Delhi: The National Health Authority (NHA) has utilised Google's Gemma 4, the most capable open model yet, along with the Medical Data Toolkit to develop the Aarogya Setu 2.0 application. The application is designed to function as an AI-enabled Personal Health Record (PHR) management system and a centralised platform for digital health services in India.
NHA is using the Medical Data Toolkit and Gemma 4 to process unstructured medical reports and provide users a digital view of their individual health information. This technology enables the Aarogya Setu 2.0 app to build comprehensive profiles of users’ individual health histories and health journeys.
NHA’s integration of Google AI capabilities is part of NHA and Google’s growing collaboration to strengthen India’s Digital Public Infrastructure (DPI) for healthcare. In addition to the open Gemma 4 model, launched in April 2026, Google also open-sourced the Medical Data Toolkit for the benefit of the developer community and digital health ecosystem.
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Ms Preeti Lobana, Vice President and Country Manager, Google India, remarked, “We are pleased that our AI capabilities are helping strengthen the country’s digital health stack and Digital Public Infrastructure.
These tools are designed to empower Indians to more closely control their health journeys, while the release of the toolkit reduces barriers to entry for health tech innovation. We look forward to seeing the new frontiers in digital health that Indian developers will now chart, building solutions that address both India’s health priorities and global challenges, contributing to India’s global AI leadership.”
The combined strength of Google’s open Medical Data Toolkit and Gemma 4 model, built into the Aarogya Setu 2.0 app, helps identify and process health records. The toolkit and Gemma 4 models intelligently identify the specific type of health record and extract critical information - like lab test names, methods and results - from text and images. The Medical Data Toolkit then maps and structures the information into standard Fast Healthcare Interoperability Resources (FHIR) data, a universal format that supports different healthcare systems to seamlessly share health records digitally. Overall, this supports NHA’s efforts to enable smoother transitions of health information when patients move across hospitals and healthcare providers.
The Medical Data Toolkit uses a defined set of rules to structure the extracted information. Users retain control of all health records and health information within the Aarogya Setu 2.0 app.
The Medical Data Toolkit is now open-source to developers and health organizations at no cost. It can support development of health applications that require digitization and standardization of legacy health records, while supporting compliance with India’s interoperability standards under Ayushman Bharat Digital Mission (ABDM). The initial release of this toolkit to the developer ecosystem is optimized for supporting some of the most common types of health records, such as laboratory reports and observations.
Google is committed to bringing its advanced AI capabilities to support India's digital health ecosystem.
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