Health Care Quality Management: Tools and Applications
- 12h 9m
- Thomas K. Ross
- John Wiley & Sons (US)
- 2014
In today’s challenging health care environment, health care organizations are faced with improving patient outcomes, redesigning business processes, and executing quality and risk management initiatives. Health Care Quality Management offers an introduction to the field and practice of quality management and reveals the best practices and strategies health care organizations can adopt to improve patient outcomes and program quality.
- Filled with illustrative case studies that show how business processes can be restructured to achieve improvements in quality, risk reduction, and other key business results and outcomes
- Clearly demonstrates how to effectively use process analysis tools to identify issues and causes, select corrective actions, and monitor implemented solutions
- Includes vital information on the use of statistical process control to monitor system performance (variables) and outcomes (attributes)
- Also contains multiple data sets that can be used to practice the skills and tools discussed and reviews examples of where and how the tools have been applied in health care
- Provides information on root cause analysis and failure mode effects analysis and offers, as discussion, the clinical tools and applications that are used to improve patient care
By emphasizing the tools of statistics and information technology, this book teaches future health care professionals how to identify opportunities for quality improvement and use the tools to make those improvements.
About the Author
Thomas K. Ross, PhD, is assistant professor of health services and information management in College of Allied Health Sciences at East Carolina University, Greenville, North Carolina.
In this Book
-
Quality In Health Care
-
Error and Variation
-
Regulating the Quality and Quantity of Health Care
-
Process Analysis Tools
-
Root Cause Analysis
-
Statistical Process Control for Monitoring System Performance
-
Statistical Process Control for Monitoring Failure Rates
-
Statistical Process Control for Monitoring Nonconformities
-
Exploring Quality Issues with Statistical Tools
-
Failure Mode and Effects Analysis
-
Practice Policies
-
Case, Disease, and Outcomes Management
-
Profiling, Economic Credentialing, and Risk Adjustment
-
Benchmarking and Implementation
-
The Future of Quality Management in Health Care
