Presenters:
Megan M. Dulohery Scrodin, M.D.
Tobias Peikert, M.D.

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

• Evaluate the potential impacts of automated patient invitations to Lung Cancer Screening on patient engagement, screening uptake, and healthcare resource utilization.
• Describe the benefit and process of delivering automated lung cancer screening results to patients, including key considerations for patient comprehension and follow-up pathways.
• Explain how artificial intelligence (AI) algorithms can be used to detect incidental pulmonary nodules from radiology reports and imaging studies.
• Discuss the role of a lung nodule navigator in coordinating follow-up care, communicating with patients and providers, and improving adherence to guideline-based management.

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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