Xtalks — The Life Science Community™, Online webinar
2026-08-26
Artificial intelligence is rapidly entering the clinical trial ecosystem, and clinical operations and data management leaders are under pressure to understand where it can reduce risk in live studies. This webinar explores how AI is being applied across eClinical workflows to improve data quality, accelerate review and strengthen oversight without disrupting ongoing trials. As eClinical systems become more connected, trials are generating increasing volumes of data from EDC, eCOA, RTSM, labs, wearables, imaging, safety systems and external vendors. Manual review models are under growing pressure as data volumes rise, timelines compress and sponsors, CROs and sites are asked to do more with the same or fewer resources. The featured speakers will discuss practical use cases already being applied in live studies, including data review, repetitive check automation, anomaly detection, medical coding, reconciliation, operational forecasting and continuous oversight. The webinar will also examine common implementation risks, such as fragmented source systems, interoperability challenges, validation requirements, documentation gaps and the need for meaningful human oversight in regulated clinical environments. Attendees will learn how sponsors, CROs and sites can build readiness across clinical data management and clinical operations teams while maintaining data quality, regulatory transparency and study continuity. Register for this webinar to learn how eClinical workflows can support AI adoption, reduce risk, increase efficiency and strengthen oversight in live studies.
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