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

The book was great, as described, no issues. The shipping and arrival was timely as well.

As a very brief introduction to QI in healthcare, this book is excellent. It is a fast moving, quick read that touches on the key concepts of a quality program, and it does a good job framing the concepts within the context of healthcare challenges that folks in the industry can relate to.However, it is NOT a comprehensive reference, nor does it claim to be. For healthcare leaders who want to know what QI is, how it is different from a more traditional QA framework, and how the framework can be applied to the industry, it is the best [and only?] read out there.For those who are serious about implementing a rigorous QI initiative, this won't get you very far. However, the book has numerous citations and a bibliography that will direct the reader to far more comprehensive references on the QI concepts addressed.

A classic primer for the SPC learner

Great follow up to the first book

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".

This is a hard read. If you are working in a hospital it may be more effective for you. This will not strengthen your ability to do deep evaluations.

good read

Excellent Resource. Must have.

The case study approach the book takes is quite useful and straight forward. I found it focused more on designing quality improvement studies which use a SPC approach, as opposed to using SPC to understanding existing data sources - a situation which is probably more common in our current data rich, information poor age. Still a well written and extremely useful book for my current work.