The Health Care Data Guide is designed to help students and professionals build a skill set specific to using data for improvement of health care processes and systems. Even experienced data users will find valuable resources among the tools and cases that enrich The Health Care Data Guide. Practical and step-by-step, this book spotlights statistical process control (SPC) and develops a philosophy, a strategy, and a set of methods for ongoing improvement to yield better outcomes.
Provost and Murray reveal how to put SPC into practice for a wide range of applications including evaluating current process performance, searching for ideas for and determining evidence of improvement, and tracking and documenting sustainability of improvement. A comprehensive overview of graphical methods in SPC includes Shewhart charts, run charts, frequency plots, Pareto analysis, and scatter diagrams. Other topics include stratification and rational sub-grouping of data and methods to help predict performance of processes.
Illustrative examples and case studies encourage users to evaluate their knowledge and skills interactively and provide opportunity to develop additional skills and confidence in displaying and interpreting data.
Companion Web site: www.josseybass.com/go/provost
Avainsanat: Public Health Services & Policy, statistical process control, SPC, improvement of processes in health care, systems improvement in health care, processes in health care data, stratification in health care data, rational subgrouping in health care data, stability , in health care data, capability analysis in health care data, measurement of health care, health care data collection methods, planned experimentation in health care data, graphical methods in health care data, evaluate current process performance in health care