Ross | Health Care Quality Management: Tools and Applications | Buch | sack.de

Ross Health Care Quality Management: Tools and Applications



1. Auflage 2014, 624 Seiten, Kartoniert, Format (B × H): 177 mm x 233 mm, Gewicht: 1002 g
ISBN: 978-1-118-50553-3
Verlag: JOSSEY BASS


Ross Health Care Quality Management: Tools and Applications

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.

Autoren/Hrsg.


Weitere Infos & Material


Figures and Tables xiPreface xixThe Author xxviPart 1: The State of Quality Management in Health CareChapter 1 Quality in Health Care 3Introduction 3The Goal of Quality Management 5Quality Pioneers in Health Care 12Requisite Skills for Improving Health Care 19Quality Control in Industry 23System Thinking 27Summary 33References 35Chapter 2 Error and Variation 37Introduction 37The Medical Decision-Making Process 37Human Error and James Reason 40Small Area Variations and John Wennberg 43Practice Guidelines and Brent James 49The Structure-Process-Outcome Paradigm 50The Three Faces of Quality 51Underuse, Overuse, and Misuse 55Controlling Variation and Improving Outcomes 57Summary 58References 60Chapter 3 Regulating the Quality and Quantity of Health Care 63Introduction 63Licensure, Accreditation, and Credentialing 65Malpractice 71The Economics of Health Care Markets 73A Brief History of Health Care Financing in the United States 88Pay for Performance and the CMS Quality Initiative 102Summary 105References 108Part 2: Quality Management ToolsChapter 4 Process Analysis Tools 113Introduction 113Tools to Identify Problems 116Tools to Identify Causes 137Tools to Identify Solutions 146Tool to Monitor Progress 152Summary 155References 159Chapter 5 Root Cause Analysis 161Introduction 161Root Cause Analysis 162Single-Event Analysis 178Multiple-Event Analysis 189Prevention and Recovery 199Cases and Applications 205Summary 212References 214Chapter 6 Statistical Process Control for Monitoring System Performance 217Introduction 217Statistics Review 220Types of Variation 226Setting Performance Targets 228Statistical Process Control for Continuous Data: X . and R Charts 231Tinkering 255Cases and Applications 257Summary 261References 264Chapter 7 Statistical Process Control for Monitoring Failure Rates 265Introduction 265Statistical Process Control for Binomial Data: p and np Charts 266Establishing Valid Control Limits 282Constant and Variable Control Limits 284Rebasing Control Limits and Monitoring Changes over Time 287Cases and Applications 290Improving Performance Using SPC 295Summary 296References 299Chapter 8 Statistical Process Control for Monitoring Nonconformities 301Introduction 301Statistical Process Control for Counts: c and u Charts 302Medicare Hospital Quality Initiative Example 312Cases and Applications 317Selecting a Control Chart 321Benefits of SPC 323Inhibitors of the Use of SPC 325Summary 329References 332Chapter 9 Exploring Quality Issues with Statistical Tools 333Introduction 333Chi-Square Analysis 335Analysis of Variance 344Analysis of Means 350Regression Analysis354Quality Improvement and Research 362Summary 365References 370Chapter 10 Failure Mode and Effects Analysis 373Introduction 373General System Theory 374The Value Chain 383Failure Mode and Eff ects Analysis 386Designing Better Systems 398Summary 403References 406Part 3: Medical Practice ManagementChapter 11 Practice Policies 411Introduction 411Practice Policies 413Computer Decision Support427Cases and Applications 428Summary 432References 434Chapter 12 Case, Disease, and Outcomes Management 437Introduction 437Case Management 440Disease Management 449Outcomes Management 463Summary 468References 470Chapter 13 Profiling, Economic Credentialing, and Risk Adjustment 473Introduction 473Physician Profiling and Report Cards 476Academic Detailing 485Economic Credentialing 488Risk Adjustment 490Summary 505References 507Chapter 14 Benchmarking and Implementation 511Introduction 511Benchmarking and Best Practice 512Balanced Scorecards 523Dashboards 531Implementation Strategies 537Summary 542References 544Chapter 15 The Future of Quality Management in Health Care 547Introduction 547Bringing It All Together 549Value and What an Employee (or Manager) Should Do 558The Future of Health Care and Quality Management 561Summary 564References 566Index 567


Ross, Thomas K.
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.




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