Title: Mayo Data Explorer demo: how to identify cohorts and extract information from free-text notes using AI

Presenter: Santiago Romero Brufau

Learning Objectives
Upon completion of this activity, participants should be able to:

• Identify and find a patient cohort using Mayo Data Explorer and a combination of structured data elements.
• Extract information from unstructured clinical documents using Mayo Data Explorer.
• Iterate through Large Language Model prompt design for information extraction.

ATTENDANCE / CREDIT
Text the session code (provided only at the session) to 507-200-3010 within 48 hours of the live presentation to record attendance. All learners are encouraged to text attendance regardless of credit needs. This number is only used for receiving text messages related to tracking attendance. Additional tasks to obtain credit may be required based on the specific activity requirements and will be announced accordingly. Swiping your badge will not provide credit; that process is only applicable to meet GME requirements for Residents & Fellows.

TRANSCRIPT
Any credit or attendance awarded from this session will appear on your Transcript.

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