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Making Systems Changes for Better Diabetes Care

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Making Systems Changes for Better Diabetes CareMaking Systems Changes for Better Diabetes Care

Topic Last updated Jan. 2007

In This Section
» Principles for Using Data
» Steps for Using Data to Improve Clinical Practice
» Differences Between Data Sources
» Examples of Data Use
» Commonly Used Diabetes Improvement Measures 

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Evaluation of Process and
Effects of Change

Overview key concept

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Improvement and measurement are intertwined. To make meaningful improvements, we must first make changes, then measure those changes and evaluate whether they were improvements. Having a reliable system for measuring change and evaluating the outcome of the change is essential. This section covers principles for collecting and using data. Different types and sources of data, as well as examples of data use, are presented.

Why Measure Change?

Changes in practice will cause changes in results. Clinical practices will find that data can be used to improve medical practice performance, particularly if measurement is embedded into the flow of daily work in the practice. These data can help health care professionals to:

  • Diagnose strengths and weaknesses in practice performance
  • Make improvement and innovations in services
  • Manage patients' needs more effectively
  • Evaluate changes in results over time

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Making Systems Changes for Better Diabetes Care Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Better Diabetes Care
Making Systems Changes for Better Diabetes Care Better Diabetes Care