PyData Boston 2025

Lily Xu

Lily Xu is a Clinical Data Science Director in the corporate data science team at Vertex Pharmaceuticals. She has a wealth of experience in building cutting-edge data science solutions for clinical operations and commercial strategy across multiple disease areas. Lily has spearheaded projects on GenAI for clinical documentation, predictive patient modeling, large-scale claims analytics, data-driven protocol design, and centralized site intelligence applications.


Session

12-09
11:15
40min
Using Traditional AI and LLMs to Automate Complex and Critical Documents in Healthcare
Aman Bhandari, Lily Xu

Informed Consent Forms (ICFs) are critical documents in clinical trials. They are the first, and often most crucial, touchpoint between a patient and a clinical trial study. Yet the process of developing them is laborious, high-stakes, and heavily regulated. Each form must be tailored to jurisdictional requirements and local ethics boards, reviewed by cross-functional teams, and written in plain language that patients can understand. Producing them at scale across countries and disease areas demands manual effort and creates major operational bottlenecks. We used a combination of traditional AI and large language models to autodraft the ICF across clinical trial types, across countries and across disease areas at scale. The build, test, iteration and deployment offers both technical and non technical lessons learned for generative AI applications for complex documents at scale and for meaningful impact.

Horace Mann