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IQVIA Innovation Theater: From Insight to Impact - Leveraging Patient Experience Data Through Technology and AI
Session Chair(s)
IQVIA
, United States
This session examines persistent scientific and operational challenges in eCOA implementation, particularly in studies using high frequency patient reported data. The discussion focuses on how advanced monitoring technologies and AI driven analytics can be used to detect emerging risks such as disengagement, response drift, and early signal degradation while data collection is ongoing. Through real world examples, the session highlights how predictive analytics and pattern recognition can support earlier, more informed decisions, helping teams distinguish true clinical change from measurement artifacts and strengthen confidence in longitudinal outcome data.
Learning Objective : Identify common scientific and operational risk patterns in high-frequency eCOA data; Understand how technology-enabled monitoring and AI-driven analytics can surface early indicators of data quality risk while data collection is ongoing; Recognize how predictive, proactive oversight supports earlier and more targeted intervention, strengthening confidence in endpoint integrity without replacing scientific judgment.
Speaker(s)
Lindsay Hughes, MS
Principal, RDS, IQVIA, United States
Speaker
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