Health Systems Improvement
Edition: 1
Copyright: 2023
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Introduction
Table of Contents
UNIT I Understanding the State of Healthcare in the United States (Why the Need to Improve)
CHAPTER 1 Economic Realities of Healthcare in the United States
A. Summary
B. The U.S. Healthcare System and its Expenditures
C. What about Health Insurance Coverage?
D. What are we Spending our Money on?
E. What about Value?
F. Conclusion
CHAPTER 2 Healthcare Delivery Models of Care
A. Summary
B. Models of Care
C. Siloed Systems of Care
D. Fee for Service
E. Managed Care
F. Affordable/Accountable Care
G. Conclusion
CHAPTER 3 Patient Experiences, Patient Outcomes and Patient Safety
A. Summary
B. Patient Experiences
C. Patient Outcomes
D. Patient Safety
E. Conclusion
CHAPTER 4 Role of Information Systems and Data Use in the 21st Century
A. Summary
B. Computers and Information Systems in Healthcare
C. Electronic Medical/Health Records
D. Interoperability Across the Continuum of Care
E. Data, Information, Knowledge, and Wisdom
F. Ecosystems for Plug and Play
G. Deployment of Knowledge at the Point of Care
H. Conclusion
UNIT II Quality Assurance, Management, and Measurement (What we Need to Improve)
CHAPTER 5 Quality Assurance
A. Summary
B. What is Healthcare Quality Assurance?
C. Accreditation Bodies
D. Federal, State, and Regulatory Bodies
E. The Business Community
F. Conclusion
CHAPTER 6 Historical Contributions to Quality and the Implications for Healthcare
A. Summary
B. Early Pioneers
C. Conclusion
CHAPTER 7 Quality Management
A. Summary
B. Adopting the Juran Trilogy of Quality
C. ISO 9000
D. Patient Safety and the Learning Organization
E. High Reliability Organizations
F. Safety Science I and Safety Science II
G. Joint Cognitive Engineering
H. Resilience Engineering
I. Conclusion
CHAPTER 8 Quality Measurement
A. Summary
B. Six Dimensions of Healthcare Quality
C. Quality Indicators
D. Key Process Indicators (KPIs)
E. Dashboards
F. Data Warehouses and Data Marts
G. Data Mining and Machine Learning
H. Natural Language Programming (NLP)
I. Statistical Analysis
J. Conclusion
CHAPTER 9 Quality Improvement Tools and Techniques
A. Summary
B. Case Example
C. CQI and Charter setting
D. Project Frameworks
E. Data Collection
F. Fishbone Diagrams
G. Process Mapping/Flow Charting/Swim Lanes
H. Failure Mode Modeling in Healthcare
I. Conclusion
CHAPTER 10 Role of Decision Support for Improving Care
A. Summary
B. Data Terminologies in Healthcare Information Systems
C. Role of Clinical Practice Guidelines in Decision Support
D. Use of Standards in Decision Support
E. Modeling for Decision Support
F. The Next Frontier
G. Conclusion
Epilog
Resources and References
Introduction
Table of Contents
UNIT I Understanding the State of Healthcare in the United States (Why the Need to Improve)
CHAPTER 1 Economic Realities of Healthcare in the United States
A. Summary
B. The U.S. Healthcare System and its Expenditures
C. What about Health Insurance Coverage?
D. What are we Spending our Money on?
E. What about Value?
F. Conclusion
CHAPTER 2 Healthcare Delivery Models of Care
A. Summary
B. Models of Care
C. Siloed Systems of Care
D. Fee for Service
E. Managed Care
F. Affordable/Accountable Care
G. Conclusion
CHAPTER 3 Patient Experiences, Patient Outcomes and Patient Safety
A. Summary
B. Patient Experiences
C. Patient Outcomes
D. Patient Safety
E. Conclusion
CHAPTER 4 Role of Information Systems and Data Use in the 21st Century
A. Summary
B. Computers and Information Systems in Healthcare
C. Electronic Medical/Health Records
D. Interoperability Across the Continuum of Care
E. Data, Information, Knowledge, and Wisdom
F. Ecosystems for Plug and Play
G. Deployment of Knowledge at the Point of Care
H. Conclusion
UNIT II Quality Assurance, Management, and Measurement (What we Need to Improve)
CHAPTER 5 Quality Assurance
A. Summary
B. What is Healthcare Quality Assurance?
C. Accreditation Bodies
D. Federal, State, and Regulatory Bodies
E. The Business Community
F. Conclusion
CHAPTER 6 Historical Contributions to Quality and the Implications for Healthcare
A. Summary
B. Early Pioneers
C. Conclusion
CHAPTER 7 Quality Management
A. Summary
B. Adopting the Juran Trilogy of Quality
C. ISO 9000
D. Patient Safety and the Learning Organization
E. High Reliability Organizations
F. Safety Science I and Safety Science II
G. Joint Cognitive Engineering
H. Resilience Engineering
I. Conclusion
CHAPTER 8 Quality Measurement
A. Summary
B. Six Dimensions of Healthcare Quality
C. Quality Indicators
D. Key Process Indicators (KPIs)
E. Dashboards
F. Data Warehouses and Data Marts
G. Data Mining and Machine Learning
H. Natural Language Programming (NLP)
I. Statistical Analysis
J. Conclusion
CHAPTER 9 Quality Improvement Tools and Techniques
A. Summary
B. Case Example
C. CQI and Charter setting
D. Project Frameworks
E. Data Collection
F. Fishbone Diagrams
G. Process Mapping/Flow Charting/Swim Lanes
H. Failure Mode Modeling in Healthcare
I. Conclusion
CHAPTER 10 Role of Decision Support for Improving Care
A. Summary
B. Data Terminologies in Healthcare Information Systems
C. Role of Clinical Practice Guidelines in Decision Support
D. Use of Standards in Decision Support
E. Modeling for Decision Support
F. The Next Frontier
G. Conclusion
Epilog
Resources and References