Presenters: Elie F. Berbari, M.D.

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

• Demonstrate the implementation of automated workflows and AI-driven tools to optimize clinical operations, reduce inefficiencies, and improve patient flow management.
• Describe strategies for integrating virtual and in-person care models to enhance patient engagement, personalization, and accessibility in healthcare delivery.
• Explain the application of AI-powered precision medicine and genomic integration to design personalized treatment plans and accelerate drug discovery.
• Identify methods for fostering interdisciplinary collaboration and building inclusive healthcare teams that promote innovation, well-being, and professional development.

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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