Talk Patient Engagement and Recruitment track
Leveraging Multimodal Data & Predictive Modelling to Improve Patient Retention
Tue, Oct 13, 2026 · 3:30–3:55 PM CEST InterContinental Barcelona
About this session
We present an AI/ML-driven Dropout Risk Prediction Model (DRPM) for large, event-driven clinical trials. By combining participant demographics, clinical characteristics, site performance history, and real-time operational signals, the model generates monthly dropout risk scores that enable proactive retention strategies. Interim validation across historical and ongoing studies demonstrated approximately 2× higher identification of at-risk participants compared with missed-visit monitoring alone, supporting targeted outreach and improved participant retention.
Speakers
-
Director, Data Science Applied Innovations & Portfolio Management · Johnson & Johnson Innovative Medicine
Speaker
Reviews of this session
No reviews yet
Were you in the room? Reviews are open until Oct 14, 2027.