ENACT Network Grand Rounds: Development and validation of Natural Language Processing algorithms in the national ENACT Network

The ENACT Grand Rounds, a monthly seminar series hosted by the ENACT Network, fosters learning on real-world data (RWD) and real-world evidence (RWE) generation, promoting an Open Science and Data Sharing culture. The series accelerates scientific discovery and improves translational research efficiency, quality, and impact by exploring Electronic Health Records (EHR) in solving problems like secondary data analysis, surveillance, learning healthcare systems, and policy. Attendees will learn from case examples using ENACT synthetic datasets, distributed analytics, and cohort discovery, showcasing experts from the CTSA Consortium and beyond.

Date: Oct. 20
Time: 3:00pm
Location: Via-Zoom

Yanshan Wang, PhD, FAMIA will discuss "Development and validation of Natural Language Processing algorithms in the national ENACT Network.” 

Here is what will be discussed:

Overview of the ENACT NLP Working Group. The group is developing methods to extract clinical concepts from narrative notes for deployment in the ENACT Network. The ENACT NLP Working Group, established with 13 sites, developed and validated NLP algorithms for rare disease phenotyping, social determinants of health, opioid use disorder, sleep phenotyping and delirium phenotyping.

Click here to register!