AI-Driven SDTM Autogeneration: Cut Time, Reduce Effort, and Accelerate Submission
Converting raw clinical trial data into the SDTM format is a critical yet resource-intensive process. Traditionally, statistical programmers and biostatisticians must understand the specifications and formats, manually perform source-to-target mappings, and write and convert the code for mappings and specifications, all before a submission-ready dataset can be created.
But what if GenAI-powered automation could handle the heavy lifting?
In this webinar, you’ll learn how our GenAI framework AI can:
- Cut SDTM generation time by up to 50%
- Reduce manual effort by 70%
- Deliver submission-ready datasets faster
