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 CDASH mapping works and why it could be a game-changer for your next clinical trial.

What is CDASH and Why Does It Matter?
CDASH , established by CDISC in 2006, offers a harmonized framework for designing CRFs, ensuring that common data points are captured consistently across studies.

A CDASH-compliant CRF enables:

*Standardised data capture across sites and trials
*Easy traceability into SDTM and ADaM datasets
*Faster, smoother submissions to regulators like the FDA and PMDA

Using CDASH from the outset means you're essentially designing your study with the end (regulatory submission and analysis) in mind. It creates a traceable data pipeline from the moment a site enters a value in the EDC to the tables and listings in the final study report.

But here's the real challenge - building electronic case report forms that actually reflect CDASH structure is still a highly manual process in many organisations. And that's where AI makes a dent.

Read the full story: https://www.clinion.com/insight/ai-cdash-mapping-what-it-means-for-your-next-trial/

Clinion Inc.
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Austin, TX 78731,
United States.

Clinion's AI-enabled eClinical platform integrates EDC, RTSM, CTMS, eConsent, ePRO, eSource, eProtocol Automation, CSR Automation, and eTMF to streamline clinical trials. Our advanced AIML and GenAI modules accelerates trial timelines, enhances compliance, and reduce costs, making trial management seamless and efficient.

This release was published on openPR.