Webinar
AI-Guided Action Path to Address the Clinical Execution Translation Gap
Explore how AI-guided action paths move clinical teams from detection to supervised execution across triage, follow-up, escalation, reconciliation, and documentation.

About this webinar
Clinical trial teams have more data, dashboards, and risk signals than ever before. The harder challenge is turning those signals into coordinated, timely, and documented action across sponsors, CROs, sites, and functional teams.
This webinar explores the clinical execution translation gap and how AI-guided action paths can help teams move from detection to supervised execution.
The discussion covers how governed AI Workforce capabilities can support triage, follow-up, escalation, reconciliation, and documentation while maintaining human oversight, traceability, and compliance alignment.
Key takeaways
- Where execution slows down after risks or discrepancies are detected.
- Why monitoring alone cannot close the execution translation gap.
- How AI-guided action paths support triage, follow-up, and escalation.
- How governed AI Workforce capabilities apply across clinical operations, data, biometrics, safety, and trial finance.
- What oversight, auditability, and human-in-the-loop controls are needed for regulated workflows.
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Speakers

Kenneth I. Kaitin, PhD
Professor of Medicine & Senior Fellow, Tufts CSDD
Kenneth Kaitin is Professor of Medicine at Tufts University School of Medicine and Senior Fellow and Former Director of the Tufts Center for the Study of Drug Development. He is also an Advisory Professor at Shanghai Medical College at Fudan University in China, and serves on the faculties of the European Center for Pharmaceutical Medicine at the University of Basel, the American Course on Drug Development and Regulatory Science at the University of California, San Francisco, and the GMDP Academy-Kings College London Medical Affairs in Medicines Development Certification Program. Recognized internationally for his contributions to drug development policy and science, he consults, speaks, and writes on global trends in pharmaceutical development and has provided public testimony before the U.S. Congress. A former President of the Drug Information Association, he served as Editor-in-Chief of Expert Review of Clinical Pharmacology and as a consultant to the U.S. Department of Defense on bioterror countermeasures. He earned his BS from Cornell University and MS and PhD in pharmacology from the University of Rochester.

Kenneth A. Getz, MBA
Executive Director & Research Professor, Tufts CSDD
Ken Getz is the Executive Director and a research professor at the Tufts Center for the Study of Drug Development, Tufts University School of Medicine, where he conducts grant-funded research on pharmaceutical R&D management and execution, protocol design optimization, contract service provider and investigative site management, e-clinical technology and data usage, and patient and community engagement. He is chairman of CISCRP, a nonprofit he founded to raise public and patient clinical research literacy, and president of the Otsuka Patient Assistance Foundation. A well-known speaker and prolific author, he writes a bi-monthly column in Applied Clinical Trials and serves on several editorial boards. Ken received an MBA from the J.L. Kellogg Graduate School of Management at Northwestern University and a bachelor's degree, Phi Beta Kappa, from Brandeis University. He is the founder of CenterWatch.

Moulik Shah
Founder & CEO, Maxis AI
Moulik Shah has been at the forefront of leveraging technology to transform pharmaceutical and life sciences clinical trials for over 20 years. A passionate healthcare technology entrepreneur, Moulik's dedication to improving clinical outcomes has fueled his vision of an integrated healthcare ecosystem based on effective use of data and analytics platforms. Under his leadership, Maxis AI has become a leading provider of clinical data and analytics, driving real-world impact in pharmaceutical and life sciences clinical trials.

Nicole Powell
Senior Vice President, Business Development, Maxis AI
Nicole, a strategic leader with over 17 years of experience in the clinical research industry, has consistently driven transformative revenue growth across diverse markets. Her expertise lies in building strong partnerships and steering corporate strategies that align with evolving industry needs. At Maxis AI, Nicole brings her insights and passion for collaboration to expand the reach of the Clinical Data Analytics Platform, helping clients streamline trials and achieve their objectives. She previously led business development and marketing at SDC and has presented at numerous industry conferences on tech-driven innovation in clinical research. She holds a BA from the University of Texas San Antonio and an MBA from Baylor University.
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