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Proper Use of a U-Chart

The simple power of plotting data in their naturally occurring time order wins the day

Davis Balestracci
Wed, 03/21/2018 - 12:03
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Because of a growing movement in the health insurance industry toward not reimbursing hospitals for any expenses caused by a system-acquired infection, one health system made efforts to improve its infection rate starting in the last quarter of 2016. In June 2017, a year-over-year graph was presented to show progress to date.

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Despite the impressive progress, there was obviously more work to do to eradicate these “should never happen events”:

The system consisted of five hospitals, and one analyst discovered monthly data for each all the way back to January 2015. He created the following graph (that I have dubbed a “copulating earthworm graph”), which for some strange reason executives (and many analysts) seem to love:

 …

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Comments

Submitted by Dr Burns (not verified) on Thu, 03/22/2018 - 20:20

XmR as a replacement

"Thus, if you do not have advanced degrees in statistics, or if you simply have a hard time
determining if your counts can be characterized by a Binomial or a Poisson distribution, you can
still verify your choice of specialty chart for your count-based data by comparing the theoretical
limits with the empirical limits of an XmR"  - Dr Wheeler

chart.

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