2022 TriNetX Summit Recording – Introduction to LUCID, the TriNetX On-Platform Data Science Coding Environment
See how data scientists utilize complex statistical tools and artificial intelligence/machine learning within the TriNetX platform.
Overview
As real-world data has exploded, so has data analysis. The need to identify, license, stage, and explore custom fit data along a fast and collaborative workflow has never been greater. But it’s remained a gap in our field, until now. LUCID is our new data science environment for coding, visualizing, and collaborating, equipped with the full range of features you’ve come to expect from today’s “data notebook” experiences. Best of all, LUCID is seamlessly connected to our LIVE networks, so you can build your cohort and stage the underlying data in a single end-to-end process. Learn how to reduce your “time to evidence” from months to days, even hours. Following a demo, we’ll hear from our regulatory, HEOR and market access leadership on how this streamlined path to real-world evidence could impact everything from submissions to payor negotiations.
Speakers
Jeff Graham
Vice President, RWD and Innovation, TriNetX, LLC
Daniel Liu, MD
Assistant Professor, University of Arkansas for Medical Sciences and Arkansas Children’s Hospital
Justin North
Director, Product Management, TriNetX, LLC
