About this episode

Dr Andree Bates interviews Dr Danielle Bower about bridging the gap between clinical expertise and data science to utilize real world evidence in healthcare.

Real world evidence (RWE) could transform drug development and clinical care, but most organisations still struggle to turn messy clinical data into decisions they can trust. In this episode, Dr Andree Bates speaks with Dr Danielle Bower , CEO of QuadraticMed , about bridging the “data use divide” between clinical expertise and data science, so real world data becomes usable evidence rather than noise. Danielle explains why real world data is both more valuable and more difficult than clinical trial data. It reflects broad, diverse patient populations over longer timelines, with richer signals across labs, medications, imaging, pathology, and increasingly digital sources like wearables. But it’s also incomplete, inconsistent, siloed, and collected through real clinical judgement rather than strict protocols. A core message is that tools don’t replace domain expertise. Danielle shares how data processing without medical context can silently change the meaning of clinical variables, producing flawed conclusions even when the analytics look “correct”. Trustworthy outcomes require the right clinical question, appropriate comparisons, careful handling of missingness, and validation…

People in this episode

Host: Dr Andree Bates

Guest: Dr Danielle Bower

Topics covered

• real world evidence
• data science
• clinical care
• drug development
• healthcare AI

Keywords

• real world data
• clinical trial data
• data processing
• healthcare AI
• personalized treatment

Mentioned in this episode

Organizations: QuadraticMed

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