Data you can trust: Setting the bar for ML/LLM-extracted real-world data

AI is transforming how real-world oncology data is curated, especially when it comes to data extracted by LLMs and other ML models. How can you be confident in the quality of the data you rely on to answer high impact research questions? Join Flatiron Health for a panel discussion on how to assess AI-curated real-world evidence and the associated implications for oncology research.

While many discussions focus on the 'what' of AI in RWE, we'll dive into the 'how' – specifically, how to build trust in and validate the data. We’ll kick off with highlights from our new data quality framework and dive into what matters most when it comes to ML/LLM-extracted RWD. Hear from Flatiron experts and oncology thought leaders on the future of AI in RWE and what quality really means in this evolving landscape.

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Melissa Estevez

Director of Research Sciences, Flatiron Health

Melissa is a Director of Research Sciences (RS), where she drives the application of Large Language Models (LLMs) and other advanced artificial intelligence (AI)/machine learning (ML) methods to transform unstructured EHR data into high quality real world data (RWD). In this role, Melissa leads a team of research scientists in developing and implementing robust methods to evaluate LLM-extracted data quality and uncover areas for enhancement. In parallel, Melissa oversees AI-driven research initiatives, from predictive modeling to digital-twin simulations, guiding the full lifecycle from data curation through evidence generation. In both of these roles, Melissa brings expertise in the underlying data, downstream analytic use cases, and ML methods to support development of ML-based solutions for real world evidence (RWE) generation. Melissa began her career in life-sciences consulting and earned her BSEng in Chemical Engineering and M.S. in Biotechnology at the University of Pennsylvania.

Rachele Hendricks-Sturrup

Research Director of Real-World Evidence (RWE), Duke-Margolis Institute for Health Policy

Dr. Rachele Hendricks-Sturrup is the Research Director of Real-World Evidence (RWE) at the Duke-Margolis Institute for Health Policy in Washington, DC, strategically leading and managing the Institute's RWE Collaborative and RWE policy research portfolio and education. As an engagement expert, biomedical researcher, bioethicist, and policy practitioner with over 18 years of experience, her work centers on addressing implementation, regulatory, and ethical, legal, and social implications (ELSI) at the intersection of health policy and innovation. She presently partners with Duke University faculty, scholars, students, and external practicing experts to advance the Institute's biomedical innovation work.

Data you can trust: Setting the bar for ML/LLM-extracted real-world data

Melissa Estevez

Director of Research Sciences, Flatiron Health

Rachele Hendricks-Sturrup

Research Director of Real-World Evidence (RWE), Duke-Margolis Institute for Health Policy

Vamsi Bollu

Executive Director, HEOR TA Lead Oncology, Novartis

Sajan Khosla

Executive Director, Head of Real World Evidence, Oncology R&D, AstraZeneca

moderator

Jerome Samson

Managing Director & Principal Writer, 314 Research Marketing Group