Join us for an insightful session—in collaboration with the Society for Clinical Data Management (SCDM). This session explores the evolving role of Audit Trail Review (ATR) in decentralized and hybrid clinical trial models, emphasizing its impact on data quality, regulatory compliance, and the day-to-day responsibilities of Data Managers. We’ll unpack how Data Managers can efficiently handle audit data from diverse systems with the help of Agentic-AI solutions and leverage ATR insights for proactive risk management.
Register now to discover how audit trail review is evolving—and how your team can stay ahead by embracing smarter, risk-focused data oversight practices.
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Vice President of Operations, LyfeSci Research & Innovation
As Vice President of Operations at LyfeSci Research & Innovation, Joanne brings over 18 years of leadership in clinical operations and data management, consistently advancing innovation and operational excellence across the healthcare sector. She is also the founder and principal consultant of ClinicalEdge Consulting, LLC, where she offers specialized advisory services to organizations seeking expert guidance in optimizing clinical operations and data strategies.
Consultant, Clinical Trials; Data Management & Analytics
Indrani Kakade is a distinguished leader with over 29 years of experience in Global Pharma and Outsourcing Industry. She is an early adopter of Clinical Data Management Outsourcing to India with experience in Study set up, Data Management , Statistical programming, Drug Safety & Pharmacovigilance/Drug Safety Operations. She has held leadership roles at Pfizer Pharmaceuticals, Cognizant Technology Solutions, Sciformix Technologies, and Cliantha Research. She is known for her entrepreneurial skills in establishing and managing global operations and teams, having successfully led numerous large-scale projects and clinical study transitions across multiple geographies. Currently works as an independent consultant for pharma, CROs and technology companies in the area of data management and analytics leveraging automation, AI and ML concepts.
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