Back to Products & Projects
Data ManagementRisk ManagementClinical DataPlatforms
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
- 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.
Results
Chemical and therapeutic class accuracy improved from 65% to 95%.
3,000+ single and FDC salts audited and corrected.
Classification data used as the foundation for subsequent AI systems, busniness mapping, and content quality initiatives.
Tech Stack
ExcelPythonCMS