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

• To define 'friction' in health information technology
• To predict the effect of changing default choices in a user interface
•  Summarize analytic methods for complex CDS To describe the difference between opt-in and opt-out technology polices, and predict their effects on adoption of innovations

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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