Measuring Quality Improvement in Healthcare: A Guide to Statistical Process Control Applications

by Robert C. Lloyd and Raymond G. Carey

Book Overview

This ground-breaking book addresses the critical, growing need among health care administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected... This description may be from another edition of this product.

• Format: Paperback
• Language: English
• ISBN: 0527762938
• ISBN13: 9780527762933
• Release Date: November 2001
• Publisher: ASQ Quality Press
• Length: 194 Pages
• Weight: 1.00 lbs.
• Dimensions: 0.6" x 7.6" x 9.0"

Customer Reviews

Healthcare Quality

This is a good book to introduce health care workers to statistical use of health related data using control charts and basic principles of statistic analysis. Good because it is not the usual text based on manufacturing. Most healthcare folks have a hard time seeing the use of measuring "widgets".

Terrific intro to Statistical Process Control

As a physician who is becoming more involved with quality control, I found this to be an outstanding introduction to the concepts of statistical process control. The abundant practical examples provide a guide as to how these principles can be used effectively in the health care setting. I recommend Carey's book to anyone who wants to get serious about managing the process of quality in healthcare -- I'm buying another copy to share with my staff!

Excellent for the right audience

This book does an excellent job of introducing the reader to the concept of applying Statistical Process Control. Through a great number of mini case studies it shows a number of possible applications. Probably more importantly it amply demonstrates the when to be concerned and when to continue monitoring the situation before reacting.This is NOT a technical book. The few formulae that are presented are relegated to a small appendix and are virtually unusable. This makes the book more suitable for administrators than for quants.People actually conducting the studies will not find what they need in terms of formulae. They will find what they need to understand which type of chart is appropriate and how to interpret the results.Ideally the authors should have included software to actually do the calculations. This would have allowed the non-technical people to actually do their own studies rather than just interpet what others have done.