Оглавление
Cecilia Fernanda Martinez. Improving Health Care Quality
Table of Contents
List of Tables
List of Illustrations
Guide
Pages
Improving Health Care Quality: Case Studies with JMP®
Foreword
Preface
Acknowledgments
Acronyms and Synonyms
About the Companion Website
1 Introduction. 1.1 Key Concepts
1.2 Quality Improvement in Healthcare
1.3 Understanding Variability: The Key to QI
1.4 Quality Improvement Frameworks
1.4.1 Define–Measure–Analyze–Improve–Control (DMAIC)
1.4.2 Plan–Do–Check–Act (PDCA)
1.4.3 Choosing a Framework
1.5 Statistical Tools for Quality Improvement
1.5.1 Data Visualization
1.5.2 Subgrouping Data
1.5.3 Control Charts
1.5.4 The Importance of Assumptions
1.6 Using this Casebook
1.7 Summary
1.7.1 Exercises
1.7.2 Discussion Questions
References
2 Improving Patient Satisfaction. 2.1 Key Concepts
2.2 DMAIC
2.3 PDCA
2.4 Background
2.5 The Task
2.6 The Data: ComplaintData.xlsx and PatientFeedback.jmp
2.7 Data Management
2.8 Analysis. 2.8.1 Complaint Data
2.8.2 Patient Satisfaction Data
2.9 Summary. 2.9.1 Statistical Insights
2.9.2 Implications and Next Steps
2.9.3 Summary of Tools and JMP Features
2.9.4 Exercises
2.9.5 Discussion Questions
Reference
3 Length of Stay and Readmission for Hospitalized Diabetes Patients. 3.1 Key Concepts
3.2 DMAIC
3.3 PDCA
3.4 Background
3.5 The Task
3.6 The Data: HospitalReadmission.jmp
3.7 Data Management
3.8 Analysis
3.9 Summary. 3.9.1 Statistical Insights
3.9.2 Implications and Next Steps
3.9.3 Summary of Tools and JMP Features
3.9.4 Exercises
3.9.5 Discussion Questions
4 Identify and Communicate Opportunities for Reducing Hospital Length of Stay Using JMP® Dashboards. 4.1 Key Concepts
4.2 DMAIC
4.3 PDCA
4.4 Background
4.5 The Task
4.6 The Data: HospitalReadmission.jmp
4.7 Data Management
4.8 Analysis. 4.8.1 Creating Dashboards with Combine Windows
4.8.2 Creating Dashboards with Dashboard Builder
4.8.3 Saving and Sharing JMP Dashboards
4.9 Summary. 4.9.1 Statistical Insights
4.9.2 Implications and Next Steps
4.9.3 Summary of Tools and JMP Features
4.9.4 Exercises
4.9.5 Discussion Questions
References
5 Variability in the Cost of Hip Replacement. 5.1 Key Concepts
5.2 DMAIC
5.3 PDCA
5.4 Background
5.5 The Task
5.6 The Data: SouthernTier_HipReplacement.csv
5.7 Data Management
5.7.1 Initial Data Review
5.7.2 Adjusting JMP Column Properties
5.7.3 Deleting Unneeded Columns
5.7.4 Shortening Character Columns
5.8 Analysis
5.8.1 Descriptive Analysis
5.8.2 Assessing Variability
5.9 Summary. 5.9.1 Statistical Insights
5.9.2 Implications and Next Steps
5.9.3 Summary of Tools and JMP Features
5.9.4 Exercises
5.9.5 Discussion Questions
References
6 Benchmarking the Cost of Hip Replacement. 6.1 Key Concepts
6.2 DMAIC
6.3 PDCA
6.4 Background
6.5 The Task
6.6 The Data: HipNYSPARCS_SouthernTier.jmp
6.7 Data Management
6.8 Analysis. 6.8.1 Descriptive Analysis
6.8.2 Statistical Test of Hypothesis
6.8.3 Confidence Interval for Mean Total Cost
6.9 Summary. 6.9.1 Statistical Insights
6.9.2 Implications and Next Steps
6.9.3 Summary of Tools and JMP Features
6.9.4 Exercises
6.9.5 Discussion Questions
References
7 Nursing Survey. 7.1 Key Concepts
7.2 DMAIC
7.3 PDCA
7.4 Background
7.5 The Task
7.6 The Data: NursingResearch_Survey_Responses.jmp
7.7 Data Management
7.7.1 Initial Data Review
7.7.2 Recoding the Primary Role Column
7.8 Analysis
7.8.1 Descriptive Analysis
7.8.2 One‐Sample Test of Proportion
7.8.3 Test for Difference of Two Proportions
7.9 Summary. 7.9.1 Statistical Insights
7.9.2 Implications and Next Steps
7.9.3 Summary of Tools and JMP Features
7.9.4 Exercises
7.9.5 Discussion Questions
References
8 Determining the Sample Size for a Nursing Research Study. 8.1 Key Concepts
8.2 DMAIC
8.3 PDCA
8.4 Background
8.5 The Task
8.6 The Data
8.7 Study Design and Data Collection Methodology
8.8 Analysis. 8.8.1 Analysis Plan
8.8.2 The Basics of Sample Size Determination
8.8.3 Sample Size Determination for the Bee Sting Study
8.9 Summary. 8.9.1 Statistical Insights
8.9.2 Implications and Next Steps
8.9.3 Summary of Tools and JMP Features
8.9.4 Exercises
8.9.5 Discussion Questions
References
9 Mapping California Ambulance Diversion. 9.1 Key Concepts
9.2 DMAIC
9.3 PDCA
9.4 Background
9.5 The Task
9.6 The Data: ED_ambulance:diversion_trend.xlsx and CA_healthcare_facility_locations.xlsx
9.7 Data Management
9.7.1 Merging the Data Tables
9.7.2 Reviewing the Merged File
9.7.3 Extracting General Acute Care Hospital Data
9.8 Analysis. 9.8.1 Descriptive Analysis
9.8.2 Geographic Distribution of Total Diversion Hours
9.9 Summary. 9.9.1 Statistical Insights
9.9.2 Implications and Next Steps
9.9.3 Summary of Tools and JMP Features
9.9.4 Exercises
9.9.5 Discussion Questions
References
10 Monitoring Ambulance Diversion Hours. 10.1 Key Concepts
10.2 DMAIC
10.3 PDCA
10.4 Background
10.5 The Task
10.6 The Data: CedarsSinai_Diversion_Hours.jmp
10.7 Data Management
10.8 Analysis. 10.8.1 Descriptive Analysis
10.8.2 Control Chart Basics
10.8.3 Ambulance Diversion Process
10.8.4 Setting the Control Limits
10.8.5 Monitoring Ambulance Diversion with IR Charts
10.9 Summary. 10.9.1 Statistical Insights
10.9.2 Implications and Next Steps
10.9.3 Summary of Tools and JMP Features
10.9.4 Exercises
10.9.5 Discussion Questions
References
11 Ambulatory Surgery Start Times. 11.1 Key Concepts
11.2 DMAIC
11.3 PDCA
11.4 Background
11.5 The Task
11.6 The Data: ASU.jmp
11.7 Data Management
11.8 Analysis
11.8.1 Case 1 Analysis
11.8.2 Case 2 Analysis
11.9 Summary. 11.9.1 Statistical Insights
11.9.2 Implications and Next Steps
11.9.3 Summary of Tools and JMP Features
11.9.4 Exercises
11.9.5 Discussion Questions
Reference
12 Pre‐Op TJR Process Improvement – Part 1. 12.1 Key Concepts
12.2 DMAIC
12.3 PDCA
12.4 Background
12.5 The Task
12.6 The Data: TJR.xlsx
12.7 Data Management
12.8 Analysis
12.9 Summary. 12.9.1 Statistical Insights
12.9.2 Implications and Next Steps
12.9.3 Summary of Tools and JMP Features
12.9.4 Exercises
12.9.5 Discussion Questions
Reference
13 Pre‐Op TJR Process Improvement – Part 2. 13.1 Key Concepts
13.2 DMAIC
13.3 PDCA
13.4 Background
13.5 The Task
13.6 The Data: TJR.jmp
13.7 Data Management
13.8 Analysis
13.9 Summary. 13.9.1 Statistical Insights
13.9.2 Implications and Next Steps
13.9.3 Summary of Tools and JMP Features
13.9.4 Exercises
13.9.5 Discussion Questions
References
14 Pre‐Op TJR Process Improvement – Part 3. 14.1 Key Concepts
14.2 DMAIC
14.3 PDCA
14.4 Background
14.5 The Task
14.6 The Data: TJR.jmp
14.7 Data Management
14.8 Analysis
14.9 Summary. 14.9.1 Statistical Insights
14.9.2 Implications and Next Steps
14.9.3 Summary of Tools and JMP Features
14.9.4 Exercises
14.9.5 Discussion Questions
References
Index
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