Book description
In A Framework for Applying Analytics in Healthcare, Dwight McNeill shows healthcare analysts and decision-makers exactly how to adapt and apply the best analytics techniques from retail, finance, politics, and sports. McNeill describes each method in depth, presenting numerous case studies that show how these approaches have been deployed and the results that have been achieved. Most important, he explains how these methods can be successfully adapted to the most critical challenges you now face in your healthcare organization. From predictive modeling to social media, this book focuses on innovative techniques with demonstrated effectiveness and direct relevance to healthcare. You’ll discover powerful new ways to manage population health; improve patient activation, support, and experience of care; focus on health outcomes; measure what matters for team performance; make information more actionable; and build more customer-centric organizations.
Table of contents
- About This eBook
- Title Page
- Copyright Page
- Praise for A Framework for Applying Analytics in Healthcare
- Dedication Page
- Contents
- About the Author
- 1. Overview
-
2. Healthcare
- Introduction
- The Healthcare Industry Has a Unique Mission and Its Potential Contributions Are Great
- The Healthcare Industry Has Major Challenges
- Healthcare Is a Very Different Industry in Many Respects
- Healthcare Is a Very Similar Business on Some of the Fundamentals
- The Current and Future State of Health Analytics
- Top-Ten List of Healthcare Analytics Challenges
- 3. Retail
- 4. Politics (Presidential Election Campaigns)
- 5. Banking
- 6. Sports
- 7. The Top Healthcare Analytics Adaptations
- 8. A Framework for Adopting Innovations
- Endnotes
- Index
- FT Press
Product information
- Title: A Framework for Applying Analytics in Healthcare: What Can Be Learned from the Best Practices in Retail, Banking, Politics, and Sports
- Author(s):
- Release date: June 2013
- Publisher(s): Pearson
- ISBN: 9780133353778
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