
Sponsored
A sponsor faced recruitment roadblocks for a Phase II oncology clinical trial. The solution: Citeline PatientMatch, leveraging RWD and natural language processing for optimal site and patient selection.

Sponsored
A sponsor faced recruitment roadblocks for a Phase II oncology clinical trial. The solution: Citeline PatientMatch, leveraging RWD and natural language processing for optimal site and patient selection.

Sponsored
A sponsor faced recruitment roadblocks for a Phase II oncology clinical trial. The solution: Citeline PatientMatch, leveraging RWD and natural language processing for optimal site and patient selection.

Sponsored
Small patient pools, strict I/E criteria, and delayed diagnosis plague rare disease recruitment. Alerting patients about trials, seeking their input, and building trust are ways to boost recruitment.

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Recruitment is moving from site-first to patient-first models. Gain insights into the role RWD plays, data-driven patient identification, and overcoming bottlenecks with more targeted strategies.

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Clinical trials have become increasingly complex over the past decades, making participant recruitment more challenging than ever. This guide explores common recruitment obstacles and offers strategies to overcome them using a patient engagement and recruitment solution.

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According to a 2024 study “Benchmarking Site Activation and Patient Enrollment,” 33% of sites under-enrolled, and 14% failed to enroll a single patient. The best way to course-correct this is to adopt a multifaceted approach to patient recruitment, that goes beyond traditional channels and ways of thinking.

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Watch Citeline’s 15-minute presentation from Clinical Leader’s Patient Engagement & Recruitment Solutions Expo, where VP Matt Holms explores Direct-to-Data (DTD) patient recruitment. This session takes a deep dive into how complex algorithms, tokenized data, and large data assets can optimize enrollment, highlighting the importance of early strategic recruitment planning and breaking down the unique benefits and real-world applications of DTD.