How To Enhance Urology Clinical Research With AI-Driven Data Curation

By Olivia Woodford-Berry, Clinical Trials Engagement Manager

As the complexity and financial burden of clinical trials in urology and uro-oncology escalate, the need for innovative strategies in patient identification and site selection becomes paramount. Verana Health plays a transformative role in addressing these challenges through the utilization of curated real-world data (RWD). Traditional methods of patient recruitment and reliance on familiar trial sites often lead to inefficiencies and delays. Verana Health mitigates these issues by employing advanced data analytics to refine eligibility criteria, particularly for bladder cancer trials, thereby reducing the pre-screening workload on site staff.

A collaborative approach with clinical experts ensures that the data being analyzed accurately reflects real-world practices, enhancing the precision of patient cohort identification. Here we underscore the necessity for sponsors and contract research organizations (CROs) to harness technology and convert complex datasets into actionable insights. By integrating AI-enhanced, expert-validated data curation, Verana Health aims to streamline clinical development processes. This approach not only promises to lower costs but also enhances the overall efficiency of clinical trials in urology, paving the way for more effective and timely patient care in the evolving landscape of medical research.