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Google Health Partnership
- •Collaborated with Google to supply high quality, validated clinical content as training data for Google's health AI and LLM initiatives.
- •Content categories delivered included drug monographs, drug-drug interaction data, disease content, and ban and recall regulatory safety data.
- •Led cross-functional stakeholder management across data schemas, governance standards, and delivery frameworks to meet Google's specifications.
The Challenge
- Google's requirements for AI training data demanded clinical accuracy, structured formatting, and verifiable regulatory provenance — a significantly higher bar than typical content partnerships.
- Coordinating delivery of multiple content types from different internal systems into a unified export pipeline.
The Approach
- Leveraged the CMS and API infrastructure built for the Elsevier partnership to package and deliver clinical data at the required scale and quality.
- Coordinated cross-functional stakeholder alignment across content, data, and partnerships teams to meet Google's delivery specifications.
Results
$500,000 commercial contract, packaging clinical content as LLM training data for Google Health.
Clinical monographs, DDI data, disease content, and ban/recall data delivered to Google for health LLM training.
Partnership established Tata 1MG as a verified clinical data supplier for a global AI system.
Infrastructure reuse across Elsevier and Google partnerships demonstrated scalable, multi-revenue-stream content architecture.
Tech Stack
CMS (internal)AppScriptsGoogle Docs