Leveraging AI To Unlock The Full Potential Of Real-World Data In Healthcare

Artificial intelligence (AI) and machine learning (ML) are redefining real-world data (RWD) utilization in healthcare by transforming vast, unstructured electronic health record (EHR) narratives into actionable insights. Verana Health’s end-to-end AI-driven data curation platform harmonizes structured and unstructured RWD through robust ML and natural language processing (NLP) models, clinician-led validation, and continuous model refinement.

Highlighting three specialty-focused case studies—in prostate cancer, geographic atrophy, and non-muscle invasive bladder cancer—this paper demonstrates significant gains in patient identification accuracy, cohort expansion, and trial recruitment effectiveness. It further explores AI’s role in optimizing clinical trial site selection, protocol design, patient recruitment, and safety monitoring, underscoring how predictive analytics accelerate research timelines and enhance patient outcomes. Finally, it casts forward to generative AI’s potential to streamline protocol development, improve regulatory alignment, and support real-time clinical decision-making. By integrating deep therapeutic expertise with an extensive RWD network and EHR-agnostic technology, Verana Health empowers clinicians, life sciences teams, and researchers to unlock the full potential of RWD and drive transformative advances in patient care and medical innovation.