This talk introduces a generative AI-powered system that converts natural language coding specifications into R programs used to generate CDISC-compliant datasets, significantly reducing development time while ensuring compliance and accuracy. Leveraging techniques such as prompt engineering and Retrieval-Augmented Generation (RAG), the session will delve into the system’s technical architecture, key lessons learned, and its potential to transform clinical data programming.
Vina Ro | Ian M. Sturdy
Eli Lilly | Eli Lilly
Natural Language to Code: AI-Powered Automation for CDISC-Compliant Datasets
This talk introduces a generative AI-powered system that converts natural language coding specifications into R programs used to generate CDISC-compliant datasets, significantly reducing development time while ensuring compliance and accuracy. Leveraging techniques such as prompt engineering and Retrieval-Augmented Generation (RAG), the session will delve into the system’s technical architecture, key lessons learned, and its potential to transform clinical data programming.