Wiley Improving Health Care Quality: Case Studies with JMP

Learn how to improve the quality of health care offered by your institution using data you already haveImproving Health Care Quality: Case Studies with JMP® teaches readers how to systematically identify problems, collect and interpret data, and solve issues in the real world. Relying on JMP® software, the authors walk readers through the process of applying quality improvement techniques to real-life health care problems. The case studies provided in the book vary significantly and provide a wide-ranging view of the application of quality improvement techniques in the health care field. Studies regarding length of stay of diabetes patients to benchmarking the costs of hip replacement all serve to illuminate and explain the underlying concepts of statistical analysis. The authors break each case study down into several sections, including: Background and TaskData and Data ManagementAnalysisSummaryConcepts and ToolsExercises and Discussion QuestionsEach section reinforces the lessons learned in each case study and helps the reader learn to apply statistical data to their own health care quality problems. From the Inside Flap Learn how to improve the quality of health care offered by your institution using data you already haveImproving Health Care Quality: Case Studies with JMP® teaches readers how to systematically identify problems, collect and interpret data, and solve issues in the real world. Relying on JMP® software, the authors walk readers through the process of applying quality improvement techniques to real-life health care problems. The case studies provided in the book vary significantly and provide a wide-ranging view of the application of quality improvement techniques in the health care field. Studies regarding length of stay of diabetes patients to benchmarking the costs of hip replacement all serve to illuminate and explain the underlying concepts of statistical analysis. The authors break each case study down into several sections, including: Background and TaskData and Data ManagementAnalysisSummaryConcepts and ToolsExercises and Discussion QuestionsEach section reinforces the lessons learned in each case study and helps the reader learn to apply statistical data to their own health care quality problems. From the Back Cover Learn how to improve the quality of health care offered by your institution using data you already haveImproving Health Care Quality: Case Studies with JMP® teaches readers how to systematically identify problems, collect and interpret data, and solve issues in the real world. Relying on JMP® software, the authors walk readers through the process of applying quality improvement techniques to real-life health care problems. The case studies provided in the book vary significantly and provide a wide-ranging view of the application of quality improvement techniques in the health care field. Studies regarding length of stay of diabetes patients to benchmarking the costs of hip replacement all serve to illuminate and explain the underlying concepts of statistical analysis. The authors break each case study down into several sections, including: Background and TaskData and Data ManagementAnalysisSummaryConcepts and ToolsExercises and Discussion QuestionsEach section reinforces the lessons learned in each case study and helps the reader learn to apply statistical data to their own health care quality problems. About the Author Mary Ann Shifflet is an Assistant Professor in the Romain College of Business at the University of Southern Indiana in Evansville, Indiana. Dr. Shifflet received her undergraduate degree in Statistics from Oneonta State in New York and Master's Degree and PhD in Statistics from Virginia Tech in Blacksburg, Virginia. Prior to joining USI she worked in industry as a statistical consultant for General Foods, Merck Pharmaceuticals and for Spencer Research. Cecilia Martinez is an Associate Professor of Engineering and Manag