As a current or future health care administration leader, you may be required to apply the use of statistical tools to measure performance improvement in your health services organization. As you have examined throughout this course, there are a variety of statistical tools at your disposal that will allow you to enhance your decision-making skills to enhance effective health care delivery in your health services organization. The statistical tools explored this week, such as chi-square, ANOVA, and regression, are all useful in helping you identify the association between certain causes of inefficiency as well as identify those performance improvement initiatives that have been most effective in reducing such inefficiencies.
Review the resources regarding these techniques and think about how your health services organization, or one with which you are familiar, might use these techniques in practice.
Describe of one of the methods presented in the resources for this week and explain how it might be used as part of a performance improvement initiative within your health services organization or an organization with which you are familiar. Be specific and provide examples. Using fictitious data, demonstrate the use of this statistical method and interpret all results. What are other statistical techniques that might be useful for your example?
NOTE: For this Discussion, you will be required to run the SPSS software platform. Attach this chart

Ross, T. K. (2014).
Health care quality management: Tools and applications. San Francisco, CA: Jossey-Bass.

Chapter 9, “Exploring Quality Issues With Statistical Tools” (pp. 333–371)

U.S. Department of Commerce, National Institute of Standards and Technology. (2016). NIST/SEMATECH e-handbook of statistical methods. Retrieved from
http://www.itl.nist.gov/div898/handbook

Chapter 1.3.5, “Quantitative Techniques”

 
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