From Raw Data to OMOP Gold: Architecting the Secondary Use Data Platform for Clinical AI Agents

Building effective AI Agents for secondary use of clinical data requires a robust, structured data foundation. This webinar outlines an end‑to‑end solution architecture framing the Patient Journeys Platform as an essential data preparation layer before AI Agents can effectively operate. We will detail the end‑to‑end data flow: Ingestion of multimodal data from diverse sources, scalable processing to perform de‑identification, information extraction, coding to standard medical terminologies, and finally, transformation into an enriched OMOP data model. The session will detail the Bronze, Silver, and Gold layer strategy and how it enables complete provenance of the system’s clinical reasoning and inference. We will showcase how these clean, Agent-ready datasets (identified and de‑identified) enable high‑value use cases, such as cohort building and clinical trial matching, while differentiating our approach from primary use systems like EHRs and ambient listening.