This is a reading companion for Chapter 2, “Using Data for Improvement,” in The Health Care Data Guide: Learning from Data for Improvement. Work through the four questions below with the chapter open beside you. Answer each one in your own words — you can type here and print the finished guide, or print it blank and write by hand.
Before you go: the chapter opens in the EBSCO eBook viewer. If you are asked to sign in, use your BAYADA library credentials.
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Reading side by side: Open side by side places the chapter on the right half of your screen. To snap this page to the left half: on Windows, press Windows + ←. On a Mac, hold your pointer over the green circle in the top-left corner of this window, then choose Move & Resize → Left. On older versions of macOS, choose Tile Window to Left of Screen instead.
Not started — 4 questions to answer.
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What characteristics make health care data trustworthy?
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Why are operational definitions essential for comparing performance over time?
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How can sampling influence the conclusions we draw from data?
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What types of measures are commonly used in health care improvement?