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Interpreting Control Charts

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Course Details

Credit/contact hours: .25
Estimated time to complete: 20 minutes
Publication Date: Jan 15, 2021
Expiration date: Jan 14, 2027
Reviewed: Jan 12, 2024

Description:

Control limits (analogous to confidence limits) offer more power to detect special cause variation. A control chart can detect special cause events more frequently and more quickly than run charts, although we can still use the typical long run, trend and other run chart rules.

Note: This course is eligible for ACPE credit.

You Will Learn

  • Recognize a control chart
  • Describe the value of control limits in detecting special cause variation
  • Recognize the significance of an “in-control” process
  • Interpret a typical control chart

Method and medium:

Learners participate in the interactive learning modules by correctly answering multiple choice questions dispersed throughout. Learners will be prompted to try again, if a question is answered incorrectly.The course will open in a new tab - to exit the course, simply close the tab.

John D. Voss, MD

John D. Voss, MD, is in the Division of General Medicine, Geriatrics and Palliative Care at the University of Virginia.

DISCLOSURE: This individual reports no relevant financial relationships with commercial entities.

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