Reduce Live Study Risk With AI in eClinical Workflows

AI is entering live clinical trials. Are your workflows ready?

Date: Wednesday, August 26, 2026

Time: 11am EDT · 4pm BST · 5pm CEST

Duration: 60 minutes

Sponsors, CROs, and sites are generating more data than ever from EDC, eCOA, RTSM, labs, wearables, imaging, and safety systems. Manual review models are under pressure as data volumes rise and timelines compress. This webinar explores how AI is being applied in live studies right now, and how to adopt it without disrupting ongoing trials.

What You Will Learn

  • 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

Speakers

Joby John, Vice President, Service Delivery, Sitero
Senior clinical research leader with over 20 years of global experience across pharma, CROs, and FSPs. Oversees professional and managed services for Sitero’s Mentor eClinical platform, including EDC, CDM, and Biostatistics. Has presented and chaired sessions at DIA and SCDM.

Aman Thukral, Head of Digital Operations and Clinical Systems, AbbVie
19 years of experience in clinical development and technology planning. Responsible for AbbVie’s Clinical Data Repository, eCOA operations, wearables, sensors, and new technology pilots. Previously at Deloitte, Cognizant, and GlaxoSmithKline.

Charlene Dark, Cheif Operating Officer, Avania
As Chief Operating Officer of Avania, Charlene Dark leads at the intersection of people, operations, and change. She is known for asking difficult questions, creating clarity in complex situations, and helping teams move beyond established practices when a better path is possible. With extensive experience leading global clinical research operations, Charlene understands that reducing study risk requires more than technology. It requires trusted data, clear accountability, and leaders who empower people to act on what they see. She brings that perspective to the use of AI in eClinical workflows, focusing on how it can help study teams recognize risk sooner and respond more effectively. Charlene is also the author of Mindset Reimagined.

Who Should Attend

  • Clinical Data Management and Data Operations leaders
  • Clinical Operations and Study Management professionals

  • Quality Assurance and GCP Compliance teams

  • eClinical Systems and Technology Leads
  • Sponsor and CRO leadership overseeing CDM and Clinical Operations
  • Biometrics, Biostatistics, and Programming teams
  • Anyone evaluating, implementing, or governing AI and automation tools in clinical trials