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Measuring Quality Improvement in Healthcare

Measuring Quality Improvement in Healthcare

A Guide to Statistical Process Control Applications

Ph.D. Robert C. Lloyd, Ph.D. Raymond G. Carey

Softcover, 214 pages, Published 2000
Dimensions: 6 x 9
ISBN: 978-0-52776-293-3
Item Number: H1091

Member Price: $42.70

List Price: $61.00
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  • Healthcare
  • measuring healthcare
  • SPC in healthcare


This ground-breaking book addresses the critical, growing need among healthcare administrators and practitioners to measure the effectiveness of quality improvement efforts. Written by respected healthcare quality professionals, Measuring Quality Improvement in Healthcare covers practical applications of the tools and techniques of statistical process control (SPC), including control charts, in healthcare settings.

The authors' straightforward discussions of data collection, variation, and process improvement set the context for the use and interpretation of control charts. Their approach incorporates "the voice of the customer" as a key element driving the improvement processes and outcomes. The core of the book is a set of 12 case studies that show how to apply statistical thinking to health care process, and when and how to use different types of control charts. The practical, down-to-earth orientation of the book makes it accessible to a wide readership.

"Only authors who have used statistics and control charts to solve real-world healthcare problems could have written a book so practical and timely."
         - Barry S. Bader, Publisher
The Quality Letter for Healthcare Leaders

"Many clinicians and other healthcare leaders underestimate the great contributions that better statistical thinking could make toward reducing costs and improving outcomes. This fascinating and timely book is a fine guide for getting started."
         - Donald M. Berwick, M.D.
President and CEO, Institute for Healthcare Improvement
Associate Professor of Pediatrics, Harvard Medical School


  • Planning Your CQI Journey
  • Preparing to Collect Data
  • Data Collection
  • Understanding Variation
  • Using Run and Control Charts to Analyze Process Variation
  • Control Chart Case Studies
  • Developing Improvement Strategies
  • Using Patient Surveys for CQI
  • Formulas for Calculating Control Limits