Activity ID



June 30, 2020

Format Type


CME Credit



CME Provider

Oregon Health & Science University School of Medicine


Without understanding the theory of variation and control charts individuals will tend to see trends in measurement data that are not there, miss trends that are there and select ineffective or inefficient problem solving and improvement strategies. This can occur for aggregate populations or individual patients or situations. It can occur for any type of data including clinical, physiologic, administrative, financial, or operational. Statistical process control charts help correctly identify trends and signals of significant changes in cause and effect systems. Their correct interpretation helps ensure users draw the right conclusions from data, know when to investigate changes, and to utilize more efficient and effective clinical, administrative and operational problem solving methods. Several sessions will be held throughout the academic year.

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NOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.

Educational Objectives

Understand the value of control charts for monitoring performance & in decision making.
Know how to respond to variation inherent in a process versus due to external influences.
Recognize the variety of situations in which control charts can be used.
Know what background information to include when creating measures or indicators.
Understand how control charts and understanding variation are essential in the “care and feeding” of a balanced scorecard or dashboard.
Know the basic types of control charts that exist for different types of applications.


Practice-based Learning & Improvement, Systems-based Practice

CME Credit Type

AMA PRA Category 1 Credit

Practice Setting

Academic Medicine, Inpatient, Outpatient, Physician Executives, Physician Scientists, Rural, Urban, VA/Military

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