Traditional real-world datasets often present challenges due to missing or inaccurate data. We will explore innovative strategies for real-world evidence research that leverage deep patient-level clinical datasets abstracted by treating physicians. Through our own research examples, we will showcase the impact of our unique methodology, highlighting the value of data completeness and accuracy in fit-for-purpose RWE.

Learning objectives

• Discuss common dataset challenges
• Explore our novel physician-led chart abstraction methodology
• Review successful RWE examples of data completeness and accuracy