Uncovering Unmet Needs in CLL:
Inspire’s Real-World Data and LLM Approach
Discover how Inspire’s innovative use of patient voice data and large language modeling (LLM) revealed actionable insights into CLL treatment patterns and unmet needs.
Understanding the unmet needs of Chronic Lymphocytic Leukemia (CLL) patients is critical for improving treatment outcomes. Inspire’s case study, Transforming CLL Research: Real-World Data and LLM Reveal Unmet Needs, showcases how Inspire combined patient voice data with medical claims and advanced LLM techniques to deliver actionable insights for a leading healthcare client.
In this case study, you’ll learn:
How Inspire’s integration of patient voice data and medical claims provided a comprehensive view of CLL treatment patterns and healthcare utilization.
The role of large language modeling (LLM) in efficiently identifying both primary and secondary unmet needs of CLL patients.
Why Inspire’s approach offered a cost-effective alternative to traditional qualitative methods, saving time and resources.
How these insights empowered the client to better understand patient experiences and address treatment gaps.
Discover how Inspire’s innovative methodologies can transform your approach to understanding complex patient needs.