Multimodal Data Integration: Production Architectures for Healthcare AI

Production healthcare AI requires multimodal data integration (genomics, imaging, notes, wearables) with proper architecture and governance.

• •Lakehouse pattern with Unity Catalog provides governed storage, lineage, and auditability for all modalities
• •Four fusion strategies (early, intermediate, late, attention-based) handle different deployment scenarios and missing data
• •Genomics, imaging features, NLP-extracted entities, and wearables can be unified in Delta tables for consistent modeling
• •Architectures must design for data sparsity and missing modalities to ensure production generalization
• •Unified storage prevents brittle pipelines, reduces data copies, and accelerates clinical workflow iteration

This summary was automatically generated by AI based on the original article and may not be fully accurate.