RWD, New Technologies Show Potential In Clinical Trial Recruitment

Real-world data (RWD) is rapidly emerging as a critical asset in improving clinical trial recruitment and site selection. This white paper explores how life sciences companies can harness RWD to identify optimal study sites, find eligible patient populations, and streamline recruitment strategies. Traditional trial feasibility models often rely on historical clinical trial data and investigator experience, but these approaches can overlook real-world treatment patterns and patient demographics that more accurately reflect the trial landscape.

Learn how integrating RWD sources—such as electronic health records, insurance claims, and disease registries—enables sponsors to understand where patients are receiving care, how they are being treated, and which sites have the clinical expertise and patient volumes necessary to meet enrollment targets. By combining these insights with predictive analytics, sponsors can proactively address recruitment barriers and build more diverse and representative study populations. Ultimately, leveraging RWD transforms feasibility and recruitment from reactive processes into strategic drivers of clinical trial success.