Google has partnered with the National Health Authority (NHA) to integrate its Gemma 4 open AI models and Medical Data Toolkit into the newly launched Aarogya Setu 2.0 platform, enabling the transformation of unstructured medical records into standardized, interoperable digital health records under India’s Ayushman Bharat Digital Mission (ABDM).

The collaboration marks a significant advancement in India’s Digital Public Infrastructure (DPI) for healthcare, leveraging artificial intelligence to improve accessibility, portability and usability of patient health information. Aarogya Setu 2.0, which has evolved from its original role as a COVID-19 contact tracing application into a comprehensive personal health record platform, now uses Google’s AI technologies to help users create structured digital health profiles from existing medical documents.

According to Google and the NHA, the platform utilizes Gemma 4, Google’s latest open AI model, along with the Medical Data Toolkit, to identify different types of medical records, extract critical clinical information from text and images, and convert these records into the globally recognized Fast Healthcare Interoperability Resources (FHIR) format. This process enables healthcare providers and digital health systems to exchange patient information more efficiently and consistently.

The AI powered system is capable of processing a variety of medical documents, including laboratory reports, diagnostic observations and historical health records. By standardizing health information into FHIR compatible formats, the platform supports seamless interoperability across hospitals, clinics and healthcare providers participating in the Ayushman Bharat Digital Mission. Google has also open sourced the Medical Data Toolkit, allowing developers and healthcare organizations to digitize and standardize legacy medical records free of cost while ensuring compliance with India’s health data standards.

India’s digital health ecosystem has expanded rapidly under the ABDM initiative. Official government data indicate that more than 80 crore Ayushman Bharat Health Accounts (ABHA) have been created, while over 100 crore digital health records have been linked nationwide. Additionally, the government’s telemedicine platform eSanjeevani has facilitated over 40 crore consultations, making India one of the world’s largest digital healthcare ecosystems.

Healthcare experts believe that artificial intelligence enabled health record standardization can significantly improve clinical decision making, continuity of care and patient engagement while reducing administrative burdens associated with fragmented medical records. The integration of open source AI technologies into national digital health infrastructure also reflects a broader global trend toward interoperable, patient centric healthcare systems.

Google stated that all personal health information processed through Aarogya Setu 2.0 remains under user control, while the release of the Medical Data Toolkit is expected to accelerate healthcare innovation and reduce barriers for health technology developers. Industry observers believe that the initiative could serve as a model for the application of open AI technologies in large scale public healthcare systems globally.

The integration of Google’s AI capabilities into Aarogya Setu 2.0 underscores India’s growing leadership in digital public infrastructure and highlights the transformative potential of artificial intelligence in building more accessible, interoperable and patient centric healthcare ecosystems.