The Health Care Data Guide Learning from Data for Improvement.

Detalles Bibliográficos
Autor principal: Provost, Lloyd P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2011.
Colección:New York Academy of Sciences Ser.
Temas:
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • The Health Care Data Guide: Learning from Data for Improvement
  • Contents
  • Figures, Tables, and Exhibits
  • Preface
  • The Authors
  • Part I: Using Data for Improvement
  • Chapter 1: Improvement Methodology
  • Fundamental Questions for Improvement
  • What Are We Trying to Accomplish?
  • How Will We Know That a Change Is an Improvement?
  • What Changes Can We Make That Will Result in Improvement?
  • The PDSA Cycle for Improvement
  • Tools and Methods to Support the Model for Improvement
  • Analysis of Data from PDSA Cycles
  • Chapter 2: Using Data for Improvement
  • What Does the Concept of Data Mean?
  • How Are Data Used?
  • Types of Data
  • The Importance of Operational Definitions
  • Data for Different Types of Studies
  • Use of Sampling
  • What About Sample Size?
  • Stratification of Data
  • What About Risk or Case-Mix Adjustment?
  • Transforming Data
  • Analysis and Presentation of Data
  • Using a Family of Measures
  • Chapter 3: Understanding Variation Using Run Charts
  • Introduction
  • What Is a Run Chart?
  • Use of a Run Chart
  • Constructing a Run Chart
  • Examples of Run Charts for Improvement Projects
  • Probability-Based Tests to Aid in Interpreting Run Charts
  • Special Issues in Using Run Charts
  • Stratification with Run Charts
  • Using the Cumulative Sum Statistic with 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
  • Chapter 5: Understanding Variation Using Shewhart Charts
  • Selecting the Type of Shewhart Chart
  • Shewhart Charts for Continuous Data
  • I Charts
  • Examples of Shewhart Charts for Individual Measurements
  • Rational Ordering with an Individual Chart
  • Effect of the Distribution of the Measurements
  • Example of Individual Chart for Deviations from a Target
  • X and S Shewhart Charts
  • Shewhart Charts for Attribute Data
  • The P Chart for Classification Data
  • C and U Charts for Counts of Nonconformities
  • Process Capability
  • Process Capability from an I Chart
  • Capability of a Process from X and S Chart (or R chart)
  • Capability of a Process from Attribute Control Charts
  • Capability from a P Chart
  • Capability from a C or U Chart
  • Appendix 5.1: Calculating Shewhart Limits
  • I Chart
  • X and S Charts
  • X and S Control Chart Calculation Form
  • P Chart
  • P Chart Calculation Form: Constant Subgroup Size
  • P Chart Calculation Form: Variable Subgroup Size
  • C Chart
  • U Chart
  • Chapter 6: Shewhart Chart Savvy: Dealing with Some Issues
  • Designing Effective Shewhart Charts

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