FastOMOP: A Foundational Architecture for Reliable Agentic Real-World Evidence Generation on OMOP CDM data

This paper introduces FastOMOP, a foundational architectural framework designed to facilitate reliable and agentic generation of real-world evidence using data harmonized under the OMOP Common Data Model. It aims to accelerate medical research and improve clinical decision-making by providing robust and scalable tools for analyzing diverse healthcare datasets.