QI Coach Learning Session with Robert Llloyd
Dr Robert Lloyd, Vice President, IHI
In this collection you can find reading materials associated with the Learning Session for QI Coaches with Dr Robert Lloyd on Tuesday 16th October 2018.
You can also find related papers in our measurement resources section of the microsite
Helping Leaders Blink Correctly – Part 1
This article was written by Robert Lloyd, PhD, IHI. This interesting article talks about split second decisions to do wiht patient safety implications.
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Helping Leaders Blink Correctly: Part II
This article talks about understanding variation in data can help leaders make appropriate decisions.
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Application of statistical process control in healthcare improvement: systematic review
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The Use of Control Charts in Health-Care and Public Health Surveillance
This article is written by William H Woodhall, Virginia Tech, Blacksburg, VA.
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The Use of Control Charts in Health-Care and Public-Health Surveillance
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Design, Use, and Performance of Statistical Control Charts for Clinical Process Improvement
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Shewhart’s Forgotten Lessons
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Simplifying the Selection and Use of Shewhart Charts: Worksheets
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Plotting basic control charts: tutorial notes for healthcare practitioners
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Navigating in the Turbulent Sea of Data: The Quality Measurement Journey
“…The primary question is this: Do you have a plan to guide your quality journey? Or are you adrift in a turbulent sea of data, hoping that your numbers meet the internal and external demands that are constantly testing your navigational skills? Or are you headed in the wrong direction and feeling a little like Joshua Slocum, adrift alone in a turbulent sea? ‘‘Where away and why alone?’’
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Statistical Process Control as a Tool for Research and Healthcare Improvement
Improvement of health care requires making changes in processes of care and service delivery. Although process performance is measured to determine if these changes are having the desired beneficial effects, this analysis is complicated by the existence of natural variation—that is, repeated measurements naturally yield different values and, even if nothing was done, a subsequent measurement might seem to indicate a better or worse performance.
J C Benneyan, R C Lloyd, P E Plsek
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