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Automation with Intelligence: Transformation From Human Resource to Artificial Intelligence in Risk Management
Session Chair(s)
Hanming Tu, MSc
Vice President, IT
Frontage Laboratories, Inc., United States
Learn 1) challenges in adapting AI in risk management; 2) approaches in proactively managing clinical operation risk and in streamlining the process for automation; 3) a automation model to transform resource based monitoring into risk based approach
Learning Objective : Discuss challenges in adapting artificial intelligence in risk management; Discuss innovative approaches in leveraging real-time access to clinical data and analytics in proactively managing clinical operation risk and in streamlining the process for automation in risk assessment and mitigation; Discuss automation maturity model to transform resource based monitoring into risk based approach.
Speaker(s)
Using Artificial Intelligence to Centralize, Standardize, and Ensure Data Integrity in Clinical Trial Monitoring
Michelle Marlborough
AiCure, United States
Chief Product Officer
Artificial Intelligence in Risk Management
Susan Olson, PhD, MS
edj, United States
Chief Operating Officer
Utilizing AI to Transform Drug Safety Case Processing
Christina Wocosky
Accenture, United States
Industry Principal, Innovation and Though Leadership
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