Reduce Live Study Risk With AI in eClinical Workflows XTALKS on August 26, 2026 in Toronto, Canada

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.

Who Should Attend

This webinar will appeal to:

• Clinical Data Management and Data Operations leaders
• Clinical Operations and Study Management professionals
• Regulatory Affairs, QA and GCP Compliance teams
• eClinical Systems and Technology Leads
• Sponsor and CRO leadership overseeing CDM and Clinical Operations
• Biometrics, Biostatistics and Programming teams
• Anyone responsible for evaluating, implementing or governing AI and automation tools in clinical trials

What You Will Learn

Attendees will gain insights into:

• What AI is actually doing in live eClinical studies today, across EDC, eCOA, RTSM, labs and safety systems, and where it is reducing real risk
• Validating and documenting AI-assisted workflows to satisfy regulators and sponsors without disrupting active trials
• What meaningful human oversight looks like in practice, and how to build governance that keeps pace with implementation
• Concrete steps to build AI readiness across CDM and clinical operations teams starting now

Register free of charge at https://xtalks.com/webinars/reduce-live-study-risk-with-ai-in-eclinical-workflows/.