the HEALTH CARE DATA GUIDE learning from data for improvement 2nd Edition by Lloyd Provost, Sandra Murray ISBN 9781119690139 1119690137

the HEALTH CARE DATA GUIDE learning from data for improvement 2nd Edition by Lloyd Provost, Sandra Murray – Ebook PDF Instant Download/Delivery: 9781119690139 ,1119690137
Full download the HEALTH CARE DATA GUIDE learning from data for improvement 2nd Edition after payment

Product details:

ISBN 10: 1119690137
ISBN 13: 9781119690139
Author: Lloyd Provost, Sandra Murray

Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. 

This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. 

The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides: 

• Easy to use strategies for learning more readily from existing health care data 
• Clear guidance on the most useful graph for different types of data used in health care 
• A step-by-step method for making use of highly aggregated data for improvement 
• Examples of using patient-level data in care 
• Multiple methods for making use of patient and other feedback data 
• A vastly better way to view data for executive leadership 
• Solutions for working with rare events data, seasonality and other pesky issues
• Use of improvement methods with epidemic data 
• Improvement case studies using data for learning 

A must read resource for those committed to improving health care including allied health professionals in all aspects of health care, physicians, managers, health care leaders, and researchers. 

the HEALTH CARE DATA GUIDE learning from data for improvement 2nd Edition Table of contents:

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

Designing PDSA Cycles for Testing Changes

Analysis of Data from PDSA Cycles

Summary

Key Terms

Chapter 2 Using Data for Improvement

What Does the Concept of Data Mean?

How are Data Used?

Types of Data

Using A Family of Measures

The Importance of Operational Definitions

Data for Different Types of Studies

Sampling

Sampling Strategies

What About Sample Size?

Stratification of Data

What about Case-Mix Adjustment?

Transforming Data

Analysis and Presentation of Data

Summary

Key Terms

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

Rules to Aid in Interpreting Run Charts

Special Issues in Using Run Charts

Stratification with Run Charts

Using the Cumulative Sum Statistic with Run Charts

Summary

Key Terms

Chapter 4 Learning from Variation in Data

The Concept of Variation

Introduction to Shewhart Charts

Depicting and Interpreting Variation Using Shewhart Charts

The Role of Annotation with Shewhart Charts

Establishing Limits for Shewhart Charts

Revising Limits for Shewhart Charts

Stratification with Shewhart Charts

Shewhart Charts and Targets, Goals, or Other Specifications

Special Cause: Is It Good or Bad?

Summary

Key Terms

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 I Chart

Example of I Chart for Deviations from a Target

Xbar S Shewhart Charts

Shewhart Charts for Attribute Data

Subgroup Size for Attribute Charts

The P Chart for Classification Data

Examples of P Charts

Creation of Funnel Limits for a P Chart

Shewhart Charts for Counts of Nonconformities

C Charts

U Chart

Creation of Funnel Limits for a U Chart

Alternatives for Attribute Charts for Rare Events

G Chart for Opportunities Between Rare Events

T Chart for Time Between Rare Events

Process Capability

Process Capability from an I Chart

Capability of a Process from Xbar and S Charts

Capability of a Process from Attribute Control Charts

Capability from a P Chart

Capability from a C or U Chart

Summary

Key Terms

Appendix 5.1 Calculating Shewhart Limits

I Chart (For Individual Values Of Continuous Data)

Xbar S Chart (For Continuous Data In Subgroups)

P Chart (For Classification Data)

C Chart (Count Of Incidences)

U Chart (Incidences Per Area Of Opportunity)

G Chart (Cases Between Incidences)

T Chart

Chapter 6 Additional Tools For Understanding Variation In Data

Depicting Variation

Additional Tools for Learning from Variation

Frequency Plots

Frequency Plot Construction

Frequency Plots Used with Shewhart Charts

Frequency Plots and Stratification

Pareto Charts

Pareto Chart Construction

Pareto Charts Used with Shewhart Charts

Pareto Chart and Stratification

Scatterplots

Scatterplot Construction

Scatterplots Used with Shewhart Charts

Scatterplots and Stratification

Radar Charts

Constructing a Radar Chart

Radar Charts Used with Shewhart Charts

Radar Charts and Stratification

Summary

Key Terms

Chapter 7 Shewhart Chart Savvy: Dealing with Common Issues

Creating Effective Shewhart Charts

Tip 1: Type of Data and Subgroup Size

Tip 2: Rounding Data

Tip 3: Formatting Charts

Tip 4. Decisions for Recalculating limits, or Rephasing, on a Shewhart Chart

Extending Centerline and Limits Backward

Typical Problems with Software for Calculating Shewhart Charts

Characteristics to Consider When Purchasing SPC Software

Another Caution with I Charts and Chart Selection

Guidelines for Shewhart Charts in Research Studies and Publications

Use of Shewhart Charts in Research Studies

Shewhart Charts in Publications

Shewhart’s Theory versus Statistical Inference

Summary

Key Terms

Part II Advanced Theory and Methods with Data For Improvement

Chapter 8 More Shewhart-Type Charts

Other Shewhart-Type Charts

The NP Chart

Xbar Range (Xbar R) Chart

Median Chart

Attribute Charts with Large Subgroup Sizes (P’ and U’)

Prime Charts (P’ and U’)

Negative Binomial Chart

Some Adaptations to Shewhart Charts

MA Chart

CUSUM Chart

Exponentially Weighted Moving Average (EWMA) Chart

Standardized Shewhart Charts

Multivariate Shewhart-Type Charts

Summary

Key Terms

Chapter 9 Special Uses for Shewhart Charts

Shewhart Charts with a Changing Centerline

Shewhart Charts with a Sloping Centerline

Shewhart Charts with Seasonal Effects

Adjusting Shewhart Charts for Confounders

Transformation of Data with Shewhart Charts

Shewhart Charts for Autocorrelated Data

Risk-Adjusted or Case-Mix Adjusted Shewhart Charts

Comparison Charts

Confidence Intervals and Confidence Limits

Summary

Key Terms

Chapter 10 Drilling Down into Aggregate Data for Improvement II

What are Aggregate Data?

What is the Challenge Presented by Aggregate Data?

Introduction to the Drill Down Pathway

Stratification

Sequencing

Rational Subgrouping

An Illustration of the Drill Down Pathway: Adverse Drug Events

Drill Down Pathway Step One

Drill Down Pathway Step Two

Drill Down Pathway Step Three

Drill Down Pathway Step Three, Continued

Drill Down Pathway Step Four

Drill Down Pathway Step Five

Drill Down Pathway Step Six

Summary

Key Terms

Part III Applications of Shewhart Charts in Health Care

Chapter 11 Learning from Individual Patient Data

Examples of Shewhart Charts for Individual Patients

Example 1: Asthma Patient Use of Shewhart Charts

Example 2: Prostate-Specific Antigen (PSA) Screening for Prostate Cancer

Example 3: Monitoring Patient Measures in the Hospital

Example 4: Bone Density for a Patient Diagnosed with Osteoporosis

Example 5: Temperature Readings for a Hospitalized Patient

Example 6: Shewhart Charts for Continuous Monitoring of Patients

Example 7: Monitoring Weight

Example 8: Monitoring Blood Sugar Control for Patients with Diabetes

Example 9: Using Shewhart Charts in Pain Management

Summary

Chapter 12 Learning from Patient Feedback to Improve Care

Summarizing Patient Feedback Data

Presentation of Patient Satisfaction Data

Using Patient Feedback for Improvement

The PDSA Cycle for Testing and Implementing Changes

Improvement Team Working on Clinic Satisfaction

Improvement Team Working on Pain

Feedback from Employees

Using Patient Satisfaction Data in Planning for Improvement

Special Issues with Patient Feedback Data

Are There Challenges When Summarizing and Using Patient Satisfaction Survey Data?

Does Survey Scale Matter?

Summary

Key Terms

Chapter 13 Using Shewhart Charts in Health Care Leadership

A Health Care Organization’s Vector of Measures

Developing a VOM

So How do We Best Display a VOM?

Administrative Issues with a VOM

Some Examples of Measures for Other VOMs

Emergency Department

Primary Care Center

System Flow Measures

Health Authority

Large Urban Hospital

IHI Whole System Measures

Summary

Key Terms

Chapter 14 Shewhart Charts for Epidemic Data

Shewhart Charts in Epidemiology

Development of Shewhart Charts for Epidemic Data

C Charts (Epoch 1)

Charts of Epoch 2

Charts for Epoch 3

Charts for Epoch 4

Some Issues with the Hybrid Chart for COVID-19 Deaths

Data Quality

Day-of-the-Week Adjustment

Application of the Hybrid Charts to Cases, Hospitalizations, and Intensive Care Unit Admissions

Summary

Key Term

Chapter 15 Case Studies

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: Reducing Length of Stay After Surgery

Case Study F: Reducing Hospital admissions

Case Study G: Accidental Puncture/Laceration Rate

Case Study H: Improving Telemedicine Failed Calls and No Shows

Case Study I: Variation in Financial Data

Index

People also search for the HEALTH CARE DATA GUIDE learning from data for improvement 2nd Edition:

    
the health care data guide pdf
    
the health care data guide
    
the health care data guide learning from data for improvement
    
the healthcare data guide
    
why is data important in healthcare

Tags:

Lloyd Provost,Sandra Murray,HEALTH CARE,DATA GUIDE,improvement