Chemical & Therapeutic Class Database Audit
Led a systematic audit of Tata 1MG's drug classification database, covering chemical class and therapeutic class attributes for all single salts and fixed-dose combination (FDC) drugs.
Accurate drug classification is foundational to search, discovery, drug-drug interaction mapping, compliance tagging, and cross-sell logic.
Collaborated with the catalog and medical affairs teams to validate classification changes.
The Challenge
- Classification data had accumulated errors over multiple years, with no structured audit having been conducted previously.
- FDC drugs added complexity — their classification requires interpretation of the combined pharmacological profile.
- At 65% accuracy, downstream products relying on this data were operating on an unreliable foundation.
The Approach & Solution
- Designed and executed a systematic audit methodology across 3,000+ salts.
- Cross-referenced classifications against standard pharmacological references and official drug labels.
- Built a structured correction pipeline with validation checkpoints before bulk database updates.
Key Results & Commercial Impact
Technology Stack & Tools
Have a similar project in mind?
We specialize in custom AI systems, clinical data licensing pipelines, and scalable web apps. Let's build something exceptional together.
Explore More Projects
Google Health Partnership
Packaged clinical content as LLM training data, including drug monographs, DDI data, disease content, and regulatory safety data, in a B2B monetization deal.
Samsung Health API Integration
Real-time API integration spanning 600K+ SKUs, 50+ attributes, and a 200K-interaction DDI tool, enabling in-app discovery and routing cart/checkout to Tata 1mg.
Elsevier Clinical Monograph API Partnership
Tata 1mg's first clinical content licensing deal. Delivered 1,500 structured drug monographs over 9 months and built the CMS & API infrastructure.