Book description
The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes.
Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes.
Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data.
Companion Web site: www.josseybass.com/go/provost
Table of contents
- Cover
- Contents
- Title
- Copyright
- Dedication
- Figures, Tables, and Exhibits
- Preface
- The Authors
-
Part I: Using Data for Improvement
- Chapter 1: Improvement Methodology
- Chapter 2: Using Data for Improvement
- Chapter 3: Understanding Variation Using Run Charts
-
Chapter 4: Learning from Variation in Data
- The Concept of Variation
- Depicting Variation
- Introduction to Shewhart Charts
- Interpretation of a Shewhart Chart
- Establishing and Revising Limits for Shewhart Charts
- When Do We Revise Limits?
- Stratification with Shewhart Charts
- Rational Subgrouping
- Shewhart Charts with Targets, Goals, or other Specifications
- Special Cause: Is It Good or Bad?
- Other Tools for Learning from Variation
- Summary
- Key Terms
- Chapter 5: Understanding Variation Using Shewhart Charts
- Appendix 5.1: Calculating Shewhart Limits
- Chapter 6: Shewhart Chart Savvy: Dealing with Some Issues
- Part II: Advanced Theory and Methods with Data
- Part III: Applications of Shewhart Charts in Health Care
-
Part IV: Case Studies
-
Chapter 13: Case Studies Using Shewhart Charts
- Case Study A: Improving Access to a Specialty Care Clinic
- Case Study B: Radiology Improvement Projects
- Case Study C: Reducing Post-Cabg Infections
- Case Study D: Drilling Down into Percentage of C-Sections
- Case Study E: Accidental Puncture/Laceration Rate
- Case Study F: Reducing Hospital Readmissions
- Case Study G: Variation in Financial Data
- Summary
-
Chapter 13: Case Studies Using Shewhart Charts
- Index
- Shewhart Chart Selection Guide
Product information
- Title: The Health Care Data Guide: Learning from Data for Improvement
- Author(s):
- Release date: October 2011
- Publisher(s): Jossey-Bass
- ISBN: 9780470902585
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