Coverage analysis remains one of the most resource-intensive and error-prone processes in clinical trial startup, often relying on spreadsheets, web research, and institutional knowledge. This session explores how sites can modernize their approach using structured workflows, best practices, and emerging technologies including AI and automation. Attendees will learn how these innovations can support compliance, reduce risk, and accelerate timelines while preserving defensibility and billing integrity. 

Learning Objectives: 

• Identify common pain points and inefficiencies in current MCA workflows, including risks related to documentation gaps and manual processes.
• Evaluate the potential benefits and limitations of AI and automation in coverage analysis workflows, including ethical, privacy, and compliance considerations.
• Apply practical strategies for reducing site activation delays and quality risks through workflow improvement and tech-enabled support.