Presenters:
Travis Zack, M.D., Ph.D.
  

LEARNING OBJECTIVES
Upon conclusion of this activity, participants should be able to:

• Evaluate how language model-based systems can help bring more evidence-based medicine to the point of care by solving the "firehose".
• Analyze how clinician interactions with OpenEvidence provides a novel lens into cognitive processes, knowledge gaps, and reasoning patterns that can inform and direct future evidence creation.
• Appraise the opportunities and challenges of integrating AI and generative technologies into clinical education to enhance engagement and equitable learning, while avoiding deskilling.

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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