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Maximizing Start-Up and Monitoring Metrics to Drive Strategic Study Execution

Contract research organizations and sponsors collect a wealth of operational data, yet many metrics are used only for reporting rather than also for decision-making based on how they can be connected across the study lifecycle to identify trends and anticipate challenges.

This session will explore how clinical research professinals can move beyond reporting metrics and use operational data to support proactive planning, improve efficiency, and optimize study outcomes. Through interactive discussion and practical examples, attendees will examine common study start-up and monitoring metrics, including activation timelines, site performance indicators, monitoring workload, and quality measures, and leave with a practical framework for transforming operational data into actionable insights that support more effective study planning and execution.

CEU: 1.0 ACRP

Speakers:

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A Physician-Led Model for Clinical Research Excellence and Near-Total Participant Retention