The Health Care Data Guide: Learning from Data for Improvement, 2nd Edition (Original PDF from Publisher)

By Lloyd P. Provost, Sandra K. Murray

An Essential text on transforming raw data into concrete health care improvements Now in its second edition, The Health Care Data Guide: Learning from Data for Improvement delivers a practical blueprint for using available data to improve healthcare outcomes. In the book, a team of distinguished authors explores how health care practitioners, researchers, and other professionals can confidently plan and implement health care enhancements and changes, all while ensuring those changes actually constitute an improvement. This book is the perfect companion resource to The Improvement Guide: A Practical Approach to Enhancing Organizational Peformance, Second Edition, and offers fulsome discussions of how to use data to test, adapt, implement, and scale positive organizational change. The Health Care Data Guide: Learning from Data for Improvement, Second Edition provides:

• Easy to use strategies for learning more readily from existing health care data
• Clear guidance on the most useful graph for different types of data used in health care
• A step-by-step method for making use of highly aggregated data for improvement
• Examples of using patient-level data in care
• Multiple methods for making use of patient and other feedback data
• A vastly better way to view data for executive leadership
• Solutions for working with rare events data, seasonality and other pesky issues
• Use of improvement methods with epidemic data
• Improvement case studies using data for learning

A must read resource for those committed to improving health care including allied health professionals in all aspects of health care, physicians, managers, health care leaders, and researchers. 

Product Details

• Publisher ‏ : ‎ Jossey-Bass; 2nd edition (June 15, 2022)
• Language ‏ : ‎ English
• Paperback ‏ : ‎ 656 pages
• ISBN-10 ‏ : ‎ 1119690137
• ISBN-13 ‏ : ‎ 978-1119690139
• ISBN-13 ‏ : ‎ 9781119690139
• eText ISBN: 9781119690122
• eText ISBN: 9781119690153