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E-raamat: Framework for Applying Analytics in Healthcare, A: What Can Be Learned from the Best Practices in Retail, Banking, Politics, and Sports

  • Formaat: EPUB+DRM
  • Sari: FT Press Analytics
  • Ilmumisaeg: 24-Jun-2013
  • Kirjastus: Financial TImes Prentice Hall
  • Keel: eng
  • ISBN-13: 9780133353761
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  • Formaat: EPUB+DRM
  • Sari: FT Press Analytics
  • Ilmumisaeg: 24-Jun-2013
  • Kirjastus: Financial TImes Prentice Hall
  • Keel: eng
  • ISBN-13: 9780133353761

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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.

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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
Chapter 1 Overview
1(18)
Introduction
1(1)
Analytics Innovations
2(3)
Discovery of Healthcare Adaptations
5(10)
Putting Ideas into Action
15(4)
Chapter 2 Healthcare
19(38)
Introduction
19(1)
The Healthcare Industry Has a Unique Mission and Its Potential Contributions Are Great
20(3)
The Healthcare Industry Has Major Challenges
23(9)
Healthcare Is a Very Different Industry in Many Respects
32(3)
Healthcare Is a Very Similar Business on Some of the Fundamentals
35(5)
The Current and Future State of Health Analytics
40(1)
Top-Ten List of Healthcare Analytics Challenges
41(16)
Chapter 3 Retail
57(26)
Introduction
57(1)
Industry Challenges
58(4)
Industry Strengths
62(5)
Analytics Sweet Spots
67(14)
Conclusions
81(2)
Chapter 4 Politics (Presidential Election Campaigns)
83(30)
Introduction
83(2)
Industry Challenges
85(2)
Industry Strengths
87(5)
Analytics Sweet Spots
92(19)
Conclusions
111(2)
Chapter 5 Banking
113(28)
Introduction
113(5)
Industry Challenges
118(3)
Key Business Drivers and Strengths
121(6)
Analytics Sweet Spots
127(12)
Conclusions
139(2)
Chapter 6 Sports
141(26)
Introduction and Industry Challenges
141(2)
Key Business Drivers and Industry Strengths
143(5)
Analytics Sweet Spots
148(16)
Conclusions
164(3)
Chapter 7 The Top Healthcare Analytics Adaptations
167(12)
Seven Adaptations
167(10)
Observations Across the Adaptations
177(2)
Chapter 8 A Framework for Adopting Innovations
179(30)
The Innovation Pathway
179(3)
Innovation Adoption Factors Model
182(1)
Adoption Domains and Factors
183(10)
Case Study
193(16)
Endnotes 209(20)
Index 229
Dwight McNeill, Ph.D., MPH, President of WayPoint Health Analytics, consults with organizations on healthcare analytics to improve business decision-making, engage customers/patients to produce health, and optimize healthcare financing and delivery. He is a Lecturer at Suffolk University Sawyer School of Management and Lead Faculty Member at the International Institute for Analytics Health Care & Life Sciences Analytics Research Council. He has been a guest lecturer at several universities, including Brandeis, Harvard, and Duke.  

He has worked in corporate settings--most recently for IBM as Global Leader for Business Analytics and Optimization for the Healthcare Industry--and in government settings at the federal (Agency for Healthcare Research and Quality) and state (Commonwealth of MA) levels.

 

McNeill is the coauthor of The Value of Building Sustainable Health Care Systems: Capturing the Benefits of Health Plan Transformation and Building Organizational Capacity: A Cornerstone of Health System Reform.