Abstract: 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.
Speaker: Vina Ro and Ian M Sturdy
Affiliation: Eli Lilly
Title: Natural Language to Code: AI-Powered Automation for CDISC-Compliant Datasets
Abstract_Sanitzed: 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.