Quality Health Care: A Guide to Developing and Using IndicatorsJones & Bartlett Learning, 2004 - 343 lappuses Written by an internationally-recognized expert in the field of quality management, this book will serve as your guide for planning and implementing a successful quality measurement program in your healthcare facility. It begins by presenting an overview of the context for quality measurement, the forces influencing the demand for quality reform, how to listen to the voice of the customer, and the characteristics of quality that customers value most. You'll also learn how to select and define indicators to collect data and how to organize data into a dashboard that can provide feedback on your progress toward quality measurement. Finally, this book shows you how to analyze your data by detailing how variation lives in your data, and whether this variation is acceptable. Case studies are provided to demonstrate how quality measurement can be applied to clinical as well as operational aspects of healthcare delivery. |
Saturs
CHAPTER 2 | 19 |
CHAPTER 3 | 53 |
CHAPTER 7 | 98 |
CHAPTER 4 | 123 |
CHAPTER 5 | 146 |
CHAPTER 6 | 173 |
Applying Quality Measurement Principles | 229 |
CHAPTER 8 | 295 |
| 329 | |
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Advocate Health Advocate Health Care AHC AMG Dreyer AMG Dreyer HHC analysis approach asked AT&T Technologies average balanced scorecard Baldrige baseline basically Becky benchmarking Carey centerline Chapter clinical common cause variation concept control chart control limits dashboard data collection data points defined Deming designed employees example excellence Figure groups healthcare healthcare industry healthcare organizations healthcare professionals hospital identify instrument panel JCAHO KQCs methods month nonprobability sampling number of falls number of patient nurses operational definition organization's outcomes p-chart pain patient falls percentage performance physicians population quality improvement questions random sample report cards Samaritan Shepherd selected Six Sigma special cause variation special causes specific staff static statistical Statistical Process Control steps strategies stratification subgroup Suburban Trinity AHC tion total number track transcription Trinity AHC AMG turnaround X-bar