Improving Health Care Quality

Case Studies with JMP

Shifflet, Mary Ann/Martinez, Cecilia/Oppenlander, Jane et al
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Bibliografische Daten
ISBN/EAN: 9781119604617
Sprache: Englisch
Umfang: 224 S.
Auflage: 1. Auflage 2020
Einband: gebundenes Buch

Beschreibung

This book shows practitioners how to solve real world problems by example, using a comprehensive approach that covers problem definition and context, data management, selecting appropriate analysis methods, step-by-step JMP instructions, and how to interpret the statistical results in context. This book contains approximately 10-12 case studies on health care quality improvement. The Background and Task sections provides the problem and its context including explanation of key health care and medical concepts. The Data and Data Management sections gives the data source and variable definitions and shows JMP operations needed to prepare the data for analysis. The Analysis section gives step-by-step JMP instructions showing how to execute each statistical method presented. The Summary section interprets the JMP output and statistical results in the problem context. The Concepts and Tools section of each case identifies the applicable step in the Define-Measure-Analyze-Improve-Control cycle for each of the tools presented. A summary table shows the statistical methods, quality tools, JMP features, and data management concepts covered. Each case closes with Exercises and Discussion Questions that allow the learner to practice and extend the methods and tools shown in the case. Discussion questions are particularly useful in the online learning environment for student discussion and interaction.

Autorenportrait

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 Management in the Reh School of Business at Clarkson University. She received her Ph.D. in Engineering Management from Texas Tech University and her M.S. in Manufacturing Systems and B.S. in Industrial Engineering from Monterrey Tech. She has taught courses in Quality Management and Lean Enterprise, Operations and Supply Chain Management and Interdisciplinary Engineering Design. Jane Oppenlander is an Assistant Professor in the Reh School of Business and The Bioethics Program at Clarkson University where she teaches statistics in both classroom and online formats. She received her Ph.D. in Administrative and Engineering Systems from Union College and an M.S. in statistics, a B.A. in mathematics, and a B.S. in education, all from the University of Vermont. Jane is a certified Six Sigma Master Black Belt. Shirley Shmerling is a full-time faculty of the Isenberg School of Management at the University of Massachusetts. She teaches Operations and Information Management courses, has several publications in journals such as Physician Leadership Journal and is a board member at the American College of Healthcare Trustees. Shirley holds a B.Sc. (Computer Science) and M.Sc. (Operations Research) from the Israel Institute of Technology and a Ph.D. in Management Science from the University of Massachusetts.

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