28 Aug 2025 | 03:00 PM GMT

AI Scribes and the Future of Clinical Trials

Participants:

Craig Lipset Co-ChairDecentralized Trials & Research Alliance
Craig Lipset
Co-ChairDecentralized Trials & Research Alliance
Elise Felicione Principal Consultant and CEONovatec G2
Elise Felicione
Principal Consultant and CEONovatec G2
Alice Murphy Community ManagerHLTH
Alice Murphy
Community ManagerHLTH
Adam Samson Adjunct FacultyGeorge Washington University
Adam Samson
Adjunct FacultyGeorge Washington University
AL
Alex Long Business DevelopmentIMO Health
AL
Alex Long
Business DevelopmentIMO Health
AA
Alexis Archer Clinical trial managerJohns Hopkins
AA
Alexis Archer
Clinical trial managerJohns Hopkins
Ethan Than Senior DirectorSanofi Genzyme
Ethan Than
Senior DirectorSanofi Genzyme
JL
Jeff Lee Board MemberMedstar Health Research Institute
JL
Jeff Lee
Board MemberMedstar Health Research Institute
Jorge Juan Fernández García Chief Innovation OfficerHospital Clínic Barcelona
Jorge Juan Fernández García
Chief Innovation OfficerHospital Clínic Barcelona
Juan Pinelli Digital Innovation StrategistPfizer
Juan Pinelli
Digital Innovation StrategistPfizer
Kelly Roland COOTrial Genasys
Kelly Roland
COOTrial Genasys
LN
Lane Nichols Principal Product ManagerAWS
LN
Lane Nichols
Principal Product ManagerAWS
LT
Luke Test Test Luke TestLuke Test
LT
Luke Test Test
Luke TestLuke Test
MB
Munther Baara VP, Product StrategyEDETEK,
MB
Munther Baara
VP, Product StrategyEDETEK,
Sean Furmston CommercialHLTH
Sean Furmston
CommercialHLTH
Shafaat Ali Khan Director Global AI Automation ClinicalLilly
Shafaat Ali Khan
Director Global AI Automation ClinicalLilly
Srinivas Nimmagadda CEOACUITYhealth
Srinivas Nimmagadda
CEOACUITYhealth

About this Meeting

Artificial intelligence-powered scribes are rapidly transforming clinical documentation across healthcare settings, and their potential impact on clinical trials represents a particularly compelling opportunity for operational efficiency and data quality improvement. As clinical research continues to struggle with documentation burden, data collection challenges, and site efficiency issues, AI scribes offer the promise of streamlined workflows and enhanced data capture capabilities.

However, the integration of AI scribes into clinical trial environments introduces unique considerations around regulatory compliance, data integrity, and validation requirements that differ significantly from routine clinical care applications. The challenge lies in harnessing the efficiency benefits of AI-powered documentation while meeting the rigorous standards required for clinical research and regulatory submission.

Join us to discuss:

  • How are AI scribes being adapted and validated for use in clinical trial environments, and what specific benefits are they delivering for site efficiency and data quality?
  • What regulatory and compliance considerations are most critical when implementing AI scribes in clinical research, and how are organizations addressing these requirements?
  • How might AI scribes reshape clinical trial operations, site workflows, and the investigator experience while maintaining data integrity and regulatory compliance?