John Snow Labs

The promise of secondary use of clinical data — from population health to clinical trial matching — often fails due to the reality of data quality. This session presents an end-to-end framework for converting fragmented, multimodal clinical data into audit-ready, high-fidelity data assets.

This session introduces a solution architecture for automating the transformation of raw, unstructured, and multimodal clinical data into a standardized OMOP data model using large language models (LLMs) and Agentic AI. We outline the end-to-end system developed by John Snow Labs as part of its Patient Journeys product platform, which [...]