Quality in Healthcare: A Lean Six Sigma Project Approach delivers essential insights into quality management and performance improvement, focusing on the application of Lean Six Sigma methodologies in healthcare environments. Structured around the Define, Measure, Analyze, Improve, Control (DMAIC) framework, the text employs a continuous case study to develop an A3 report, apply all tools and techniques in a fully integrated project format, and encourage students to engage with the material practically. It also offers valuable guidance for obtaining Lean Six Sigma certification.
This textbook integrates real-world examples, lively scenarios, FAQs, hands-on learning activities, and practice problems that underscore key quality improvement techniques, patient safety, and ethical considerations. It also equips students with the necessary measurement, problem-solving, and decision-making skills to steer quality improvement projects effectively. Quality in Healthcare promotes a Lean Six Sigma mindset tailored specifically for the healthcare sector, preparing future leaders to drive meaningful change. Purchase includes online access via most mobile devices or computers.
Key Features:
Emphasizes data visualization through graphs and dashboards, complemented by data files for statistical analysis
Illustrates human dynamics and organizational challenges in completing improvement projects
Demonstrates tool application in vivid scenarios and provides a summary toolkit for easy reference
Features video interviews with healthcare professionals providing students with valuable career insights and practical knowledge
Includes digital access to advanced eChapters containing information critical to those seeking a Lean Six Sigma certification
Students have access to Excel video tutorials demonstrating the use of tools mentioned in the text
Qualified instructors have access to expanded Instructor Resources featuring chapter PowerPoints, a Test Bank, a Sample Syllabus, Excel data files and solutions for end-of-chapter problems, templates, an Instructor Manual and additional resources to supplement students' dynamic learning and interaction with the text
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Illustrationen
Maße
Höhe: 254 mm
Breite: 178 mm
Gewicht
ISBN-13
978-0-8261-7975-3 (9780826179753)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Corinne M. Karuppan, PhD, CPIM, is Professor Emerita of Operations Management at Missouri State University.
Nancy E. Dunlap, MD, PhD, MBA, is Professor Emerita of Medicine at the University of Alabama at Birmingham (UAB).
Robert Cavagnol, MD, MHA, FACS, currently serves as the president of the North region for Froedtert-Thedacare health (FTCH).
PART I. INTRODUCTION
Chapter 1. Quality First
Chapter 2. Introduction to Lean Six Sigma: Doing it Right the First Time
PART II. DEFINE: WHAT IS THE PROCESS?
Chapter 3. Process Selection and Description
Chapter 4. The Voice of the Customer and the Voice of the Process
Appendix 4.1. Basic Concepts of Questionnaire Design
Chapter 5. Project Management
PART III. MEASURE: WHERE IS THE WASTE AND HOW BAD IT IS?
Chapter 6. Process Measurement
Chapter 7. Data Visualization and Description
Appendix 7.1. Probability and Non-Probability Sampling
Chapter 8. Process Stability and Capability
Appendix 8.1 Factors for Control Charts
PART IV. ANALYZE: WHY IS THERE WASTE IN THE PROCESS?
Chapter 9. Problem Solving
PART V. IMPROVE: HOW TO ELIMINATE WASTE?
Chapter 10. Process Redesign (I): The Toolbox for Higher Value
Chapter 11. Process Redesign (II): Ensuring Success
PART VI. CONTROL: HOW TO KEEP WASTE AT BAY?
Chapter 12. Sustaining the Improvement
PART VII. REAPING THE REWARDS AND BUILDING RESILIENCE
Chapter 13. Accreditation, Awards, and the Highly Reliable Organization
PART VIII. ADVANCED QUALITY MANAGEMENT AND LEAN SIX SIGMA PROJECT TOOLS
Chapter 14. Expanded Coverage of Probabilities and Distributions
Chapter 15. Gage Repeatability and Reproducibility
Chapter 16. Estimation and Hypothesis Testing
Appendix A. Cumulative Standard Normal Distribution Table
Appendix B. Tool Kit
Index
