AI CDASH Mapping: Beyond the Buzz – What Experts Need to Know
AI CDASH Mapping : Beyond the Buzz – What Experts Need to Know CDASH (Clinical Data Acquisition Standards Harmonization) is a CDISC standard that defines how clinical trial data should be collected in CRFs. It ensures consistent naming, structure, and organization of variables from the start, making it easier to transform data into SDTM or ADaM formats later. This improves data quality and speeds up downstream clinical trial processes. Clinical trials generate mountains of data. Mapping that data to CDISC standards like CDASH is one of the most technical and time-consuming tasks a data management team can face. Ask any seasoned data manager, and they’ll tell you – one mislabeled CRF field can ripple all the way through to SDTM conversion and regulatory submission.But here’s the reality: AI is no longer just a buzzword in our industry. Used right, it’s a powerful assistive engine for accelerating standardization, especially in CDASH mapping. In this blog, we’ll explore how AI-driven CDA...