Designing Practical Measures for Improvement


Building system capability and designing initiatives to achieve improved outcomes for our communities is challenging. More challenging still is figuring out how to measure our progress toward the intended outcomes in meaningful ways.

  • How do we know what to measure?
  • How do we get the data that we need when we need it (in addition to outcome/claims data)?
  • How do we know we have “enough” data?

 

 

This intensive will cover some basic principles associated with Measurement for Improvement and will provide hands on experience with analyzing data. Participants should come prepared to work through some data sets in real time to practice these skills. Proficiency with the use of Microsoft excel will be helpful.

Objectives

After this course participants will be able to:

  • Identify outcome, process and balance measures for improvement efforts
  • Approach designing practical measures that will inform improvement efforts
  • Consider useful data sources and data sets, beyond outcome and claims data
  • Practice data analysis skills associated with diagnosing where change is needed in the system
  • Use data analytics tools, like run charts, to identify when improvement has occurred in a system, associated with implemented changed

Presenter

Brandon Bennett, Improvement Science Consulting


 

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