English | 2022 | ISBN: 1119690137 | 649 pages | True PDF | 32.27 MB
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.
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