Pulse Check: AI in eSource Six Months Later: What Held, What Shifted, What's Next

Tuesday, September 15, 2026 4:15 PM to 5:15 PM · 1 hr. (America/New_York)

305B

Information

Session chaired by Nechama Katan

Description:

Everyone says AI is transforming eSource. But six months after the Consortium's candid podcast series on how AI is really being used across eSource workflows, one question matters most: what actually made it into production, and what is still just a slide?

This session includes a short update on the SCDM eSource Implementation Consortium's work, then moves into a live, unscripted pulse check. A sponsor, a vendor, and a site take the stage to revisit what they said six months ago. What has changed? What is keeping AI stuck short of production?

And what will it really take to scale: cost, validation, or governance? Attendees leave with a clear-eyed view of where AI in eSource stands today, and what the Clinical Data Scientist needs to prepare for next.

Listen to the SCDM eSource Consortium Podcast Series on YouTube and Spotify and be part of the conversation during the session.

CDM Competency Framework Topic(s)

5. AI & Cognitive Tech

CDM Competency Framework Subtopic(s)

4. Site eSource

Learning Outcomes

Distinguish where AI in eSource has actually reached production from where it remains a proof of concept, using real examples across sponsor, vendor, and site workflows.Identify the barriers, validation, data quality, and governance, that keep AI use cases stuck short of production, and assess where those barriers appear in their own work.Explain what it takes to scale AI across eSource, including cost, validation burden, and governance, and describe how the Clinical Data Scientist's role is changing to meet it.

Level

Intermediate

Target Audience

Clinical Data Scientist / Clinical Data ManagerData Management leadershipeSource / eClinical implementation lead

CEUs

0.1