The six sigma book for healthcare : improving outcomes by reducing errors /

Saved in:
Bibliographic Details
Author / Creator:Barry, Robert, 1938 December 29-
Imprint:Chicago, IL : Health Administration Press, c2002.
Description:xii, 236 p. : ill. ; 26 cm.
Language:English
Subject:
Format: Print Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/4924201
Hidden Bibliographic Details
Other authors / contributors:Murcko, Amy.
Brubaker, Cliff.
ISBN:156793191X (alk. paper)
Notes:Includes bibliographical references (p. 221-226) and index.
Table of Contents:
  • Foreword
  • Preface
  • Acknowledgments
  • Part I.
  • Introduction
  • Six Sigma: Why, What, How?
  • Why Six Sigma?
  • What is Six Sigma?
  • How Is Six Sigma Applied?
  • Error Prevention
  • Poka-Yoke
  • Topics in Healthcare Error Prevention
  • Workflow
  • Problem Solving
  • Events
  • Digging In
  • Compare and Contrast
  • Diagrammatic Tools
  • Management Action
  • Problem Detection
  • Six Sigma Measures
  • Six Sigma Operations Analysis
  • Quantitative Process Analysis
  • Change Management
  • Selecting Changes
  • Six Sigma: Conclusion
  • Part II.
  • Cases
  • Case Instructions
  • Case 1. Data Portrayal
  • Case 2. Process Tracking
  • Case 3. Performance Evaluation
  • Case 4. Potential Problem Analysis
  • Case 5. Yield
  • Case 6. Test Reliability
  • Case 7. Time-Value Charts
  • Case 8. The Poisson Distribution
  • Case 9. Incomplete Trials
  • Case 10. Failure Modes and Effects
  • Case 11. Discrete Analysis
  • Case 12. Central Limit Theorem
  • Case 13. Data Sampling
  • Case 14. Rule-Based Sampling
  • Case 15. Rich Data Sets
  • Case 16. Sequential Analysis
  • Case 17. Rule-Induced Upsets
  • Case 18. Improvement Project
  • Case 19. Event A
  • Case 20. Event B
  • Workflow Cases
  • Appendices
  • Selected Formulae
  • Effect of Precision in Low-Count Estimating
  • Effect of Ignoring Multiple Errors in Estimating Yield
  • Effect of Ignoring Negative Values in Distributions
  • Adjusting the Normal Distribution for Positive-Only Populations
  • Using the Normal Distribution in Place of the Poisson Distribution
  • Annotated Bibliography
  • Glossary
  • Companion Web Site Content
  • About the Authors