This AI Tool Turns 400 Informal Names Into Accurate OMOP Code

In the HELIOS Singapore study, Llettuce mapped 400 informal medication names to OMOP standard concepts. Combining vector search and a local LLM, it outperformed traditional string-matching tools like Usagi and ran locally on consumer hardware, preserving patient confidentiality. Llettuce shows that AI can streamline healthcare data standardization while maintaining GDPR compliance.