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Research in Action Podcast: Transforming Public Health with Unstructured Data and NLP in FDA's Sentinel Initiative

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Description

What is the MOSAIC-NLP project around structured and unstructured EHR data? Why is structured data not really enough for drug safety studies? And to what degree is NLP speeding up access to data and research results? We will learn all that and more in this episode of Research in Action with Dr. Darren Toh, Professor at Harvard Medical School and Principal Investigator at Sentinel Operations Center.

Materials

Transforming Public Health with Unstructured Data and NLP in FDA's Sentinel Initiative Podcast Episode

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Oracle Life Sciences

Related Assessment(s)
Sentinel Methods Project: Inclusion of Semi-Structured and Unstructured Electronic Health Record (EHR) Data in Confounding Adjustment and Outcome Ascertainment
Sentinel Announcement: Cerner Enviza Collaborates with FDA to Develop Innovative AI Tools for Drug Safety and Real-World Evidence Studies
Sentinel Presentation: Unexpected Issues in Pharmacoepidemiology Studies Applying Natural Language Processing to Clinical Notes
Sentinel Announcement: CHOC Tapped for Mental Health Expertise on National AI Project Involving Electronic Medical Records
Presenter(s)
Darren Toh, ScD, Sentinel Principal Investigator