Presenters:
Elie F. Berbari, M.D.
Jon O. Ebbert, M.D.
Konstantinos N. Lazaridis, M.D.
Shant Ayanian, M.D.
Megan M. Dulohery Scrodin, M.D.
Deanne T. Kashiwagi, M.D.

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

• Explain the ways we are propelling the delivery of world-class care by advancing cures that transform patient outcomes.
• Demonstrate the implementation of automated workflows and AI-driven tools to optimize clinical operations, reduce inefficiencies, and improve patient flow management.
• Describe the automation happening in the inpatient and outpatient practice in support of care team redesign to enhance patient engagement, personalization and accessibility in healthcare delivery.
• Identify methods for transforming medical education into a dynamic, innovative learning environment that integrates technology and personalized education to facilitate precise, equitable patient care, to advance discovery, and to promote clinicians thriving in a rapidly evolving healthcare landscape.

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.

For disclosure information regarding Mayo Clinic School of Continuous Professional Development accreditation review committee member(s) and staff, please go here to review disclosures.