Unlocking The Potential of RWD In Clinical Trial Recruitment

Clinical trial sponsors continue to face persistent challenges in patient recruitment and retention, despite the expansion of decentralized trial models and a post-pandemic rebound in clinical activity. This white paper explores how real-world data (RWD) is transforming recruitment strategies by enabling the identification and engagement of highly targeted patient populations, including those for rare disease trials and underrepresented groups.

Leveraging technologies such as AI and machine learning, RWD can be processed at scale to generate deep insights into patient demographics, disease prevalence, and trial eligibility. These insights support dynamic, data-driven recruitment approaches and enhance retention through more personalized patient engagement. Integrated platforms, such as Citeline’s PatientMatch and NorstellaLinQ, exemplify the growing potential of combining clinical, regulatory, and commercial intelligence with RWD to meet complex trial demands. By harnessing high-quality, diverse datasets, sponsors can overcome long-standing recruitment barriers and ensure broader, more inclusive participation in clinical research.