Learning Objectives
At the end of this activity, participant should be able to:
1. Describe intuitively how and why a few basic machine learning algorithms work
2. Develop a research question around a prediction policy problem in health, and
make a research plan that avoids key methodological problems
3. Understand policy and management issues related to the use of IT in health
care delivery
4. Understand and learn how MPOG’s platform can be used for anesthesiologist
and trainee education
5. Describe and summarize the relevance and impact of current MPOG research
projects
6. Identify and analyze opportunities for participation in the ongoing MPOG quality
improvement project
Accreditation and Credit Designation
The University of Michigan Medical School is accredited by the Accreditation Council for
Continuing Medical Education (ACCME) to provide continuing medical education for
physicians.
The University of Michigan Medical School designates this live activity for a maximum of
5.50 AMA PRA Category 1 Credit(s) ™. Physicians should claim only the credit
commensurate with the extent of their participation in the activity.
Maintenance of Certification in Anesthesiology™ program and MOCA® are registered
trademarks of The American Board of Anesthesiology®. This activity offers up to 5.5 CME
credits, of which 5.5 credits contribute the patient safety CME component of the American
Board of Anesthesiology’s redesigned Maintenance of Certification in Anesthesiology™
(MOCA®) program, known as MOCA 2.0®. Please consult the ABA website,
www.theABA.org, for a list of all MOCA 2.0 requirements
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