Healthcare has remained far “behind the curve” in taking advantage of its opportunities to use information to improve clinical and business outcomes. In A Framework for Applying Analytics in Healthcare, healthcare analytics innovator Dwight McNeill shows healthcare analysts, managers, and operations professionals how to harvest, adapt, and utilize the best analytics techniques from industries ranging from retail and banking to politics.
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 demonstrates how these methods can be successfully applied to healthcare challenges including inefficiencies, poor population health outcomes, affordability, disparities, access to insurance, lack of customer centricity, and slow assimilation of information technology. Examples include:
- Leveraging retail customer analytics techniques such as predictive analytics, micro-segmentation, and lifetime value metrics
- Using lessons from financial services to streamline core information management systems, achieve significant cost take-out, and make information more actionable across the organization
- Master segmentation, messaging, social media, and ongoing citizen input/advocacy as learned by pioneers in the art and science of modern politics
Table of Contents
Chapter 1: Overview 1
Chapter 2: Healthcare 19
Chapter 3: Retail 57
Chapter 4: Politics (Presidential Election Campaigns) 83
Chapter 5: Banking 113
Chapter 6: Sports 141
Chapter 7: The Top Healthcare Analytics Adaptations 167
Chapter 8: A Framework for Adopting Innovations 179
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$41.99 | ISBN-13: 978-0-13-335380-8