using real-world data to bridge the evidence gap

LL: Before we delve into the specifics of your work at Atropos Health, could you provide a bit more background about yourself and your involvement in tech-enabled trials?

BH:​ Certainly. I’m the CEO and co-founder of Atropos Health. My journey into the realm of health tech and data sciences began during my tenure at Stanford University about three years ago. Prior to that, I’ve had a rich background in analytics and health economics, spanning over 15 years in various capacities across different healthcare sectors, including providers and payers. My academic pursuits led me to obtain a PhD in Clinical Pharmacology, laying the foundation for my transition from bench clinical research to pioneering health economic data businesses. We use cutting-edge technology to transform traditional clinical trial methodologies, thereby revolutionizing the landscape of evidence-based medicine.

LL: Let’s dive straight into a pressing issue: the lack of diversity in clinical trials and its implications for health equity. How does this shortfall contribute to widening health disparities and delaying equitable access to medications and treatments?

BH:​ The lack of diversity in clinical trials is indeed a critical issue with far-reaching consequences. Traditional trials often fail to represent the broader patient population, either due to exclusion criteria or inadequate recruitment strategies. This leads to a skewed understanding of drug efficacy and safety across different demographic groups, exacerbating health disparities and impeding equitable access to care. We address this challenge head-on by harnessing real-world data to recreate trials in more diverse patient cohorts. By doing so, we can provide clinicians with evidence tailored to their patients’ profiles, ensuring that treatment decisions are grounded in comprehensive data that reflects the diversity of the population.

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