9780470902585-0470902582-The Health Care Data Guide: Learning from Data for Improvement

The Health Care Data Guide: Learning from Data for Improvement

ISBN-13: 9780470902585
ISBN-10: 0470902582
Edition: 1
Author: Lloyd P. Provost, Sandra K. Murray
Publication date: 2011
Publisher: Jossey-Bass Inc Pub
Format: Paperback 445 pages
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Book details

ISBN-13: 9780470902585
ISBN-10: 0470902582
Edition: 1
Author: Lloyd P. Provost, Sandra K. Murray
Publication date: 2011
Publisher: Jossey-Bass Inc Pub
Format: Paperback 445 pages

Summary

The Health Care Data Guide: Learning from Data for Improvement (ISBN-13: 9780470902585 and ISBN-10: 0470902582), written by authors Lloyd P. Provost, Sandra K. Murray, was published by Jossey-Bass Inc Pub in 2011. With an overall rating of 4.2 stars, it's a notable title among other Health Care Delivery (Administration & Medicine Economics) books. You can easily purchase or rent The Health Care Data Guide: Learning from Data for Improvement (Paperback, Used) from BooksRun, along with many other new and used Health Care Delivery books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.32.

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) 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

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