Unlock the Power of Unstructured Data with EMERSE

Do you want to learn more about Electronic Medical Record Search Engine (EMERSE)—a text processing system designed specifically for non-technical users?

Join University of Michigan’s Dr. David Hanauer as he explains how EMERSE leverages natural language processing capabilities to help you efficiently work with free text (i.e., unstructured data) derived from electronic health record systems. Whether you’re identifying cohorts or supporting data abstraction, EMERSE can make things easier and more efficient for you.

If you are an individual with a disability who needs reasonable accommodations to participate in this event, please email CCDIevents@mail.nih.gov by Tuesday, January 7.

This webinar is part of the CCDI webinar series, which highlights how to use CCDI’s web applications, platforms, and data, and gives attendees the opportunity to learn how to use available resources. Webinars will be recorded and made available for viewing post-event.