AI-powered pipeline that transforms your custom EHR codes into LOINC and SNOMED CT standards. Stop wasting weeks on manual mapping. Start analyzing.
Each proprietary code requires individual research and mapping. Thousands of codes means months of work.
Manual processes lead to inconsistent mappings, missed nuances, and costly mistakes in research data.
Your researchers should analyze data, not spend weeks looking up standard codes in spreadsheets.
Combining semantic search with AI reasoning for accurate, explainable mappings.
Your proprietary codes are embedded using Amazon Titan Text Embeddings V2 (1024 dimensions) and matched against pre-computed standard code embeddings in AWS S3 Vectors.
Claude Sonnet 4.5 analyzes candidates using clinical context, test purpose, and data characteristics to select the top 3 matches with detailed explanations.
Deploy infrastructure with AWS CDK, run locally with Python scripts
AWS CDK deploys S3 Vectors bucket and index
Generate embeddings for LOINC/SNOMED codes
Process proprietary codes through pipeline
Review and export validated mappings
Deploy in minutes. Map thousands of codes. Focus on what matters.
Pricing based on Amazon Bedrock and S3 Vectors rates. AWS Pricing Calculator