Session date: 
08/08/2022 - 3:00pm to 4:00pm

Learning Objectives
Upon conclusion of the activity, participants should be able to:

  • Recognize major forces on healthcare delivery
  • Identify major forms of preventable harm in the ICU
  • Describe the application of computer vision machine learning to ICU patient safety
  • Describe the application of computer vision machine learning to hip fracture prevention

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.

Presenter: 
William Beninati, MD, FCCP
Where did the idea for the course originate?: 
Minnesota
Please login or register to take this course.
Where did the idea for the course originate?: 
Minnesota