ePub The Magnificent The Health Care Data Guide Learning from Data for Improvement Popular Formats Ebook

Language: English Stars: 4.67 of 5 stars
The Health Care Data Guide: Learning from Data for Improvement
.
Ebook Format: MOBI, FB2, TXT, PDF, ePub, RTF, DJVU, iBook, DOC Book Published: October 4th 2011 by Jossey-Bass (first published August 15th 2011)
Additional Info: Paperback, 445 pages Ebook's Rating:
6 ratings
Book Tags: Original EBook Title: -

Ebook Description:

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) 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

Categories: