Synopses & Reviews
Use New Analytics Techniques to Improve Clinical and Business Outcomes in Any Healthcare Organization
• The most comprehensive, actionable review of the current science and practice of healthcare analytics
• Go beyond “big data” to the right data—and from providing answers to asking the right questions
• From the International Institute for Analytics, the world’s premier analytics research organization
Healthcare has remained behind the curve in using information to improve clinical and business outcomes. Now, pioneers in the field address this problem head-on, showing exactly how to apply today’s best analytics techniques to address issues ranging from medical errors to cost reduction.
Analytics in Healthcare and the Life Sciences demystifies today’s most promising analytics approaches, presenting new healthcare case studies that show them at work, reviewing the results, and candidly discussing the challenges faced by implementers. You’ll learn how to apply analytical methods to healthcare-specific challenges including inefficiency, poor outcomes, affordability, access disparities, lack of customer focus, weak connections between operations and strategy, and more.
Dwight McNeill’s expert solutions and guidance will be invaluable to decision-makers, professionals, and analysts in any healthcare-related organization—from providers to insurers, life sciences firms to government agencies.
Today, the healthcare industry struggles with poor clinical outcomes, efficiency, and customer engagement. Organizations face hypercompetitive market pressures and radical changes in financing, payment and delivery driven by forces such as the Affordable Care Act.
Analytics can help you overcome every one of these challenges.
To date, however, few healthcare organizations have successfully applied the breakthrough tools and techniques now available. Now, Dwight McNeill and the field’s leading experts thoroughly review state-of-the-art advances in healthcare analytics and help you apply it to your most urgent challenges.
The authors begin with an up-to-the-minute overview of the analytics landscape in healthcare and the life sciences. Next, they turn to strategies, frameworks, and challenges, addressing issues ranging from business value to privacy. Building on this foundation, they present specific implementation methods that leverage EHRs, insurance exchanges, and meaningful use; improve compliance with care standards; and strengthen linkages between compliance and clinical outcomes.
You’ll discover best practices implemented by eight bellwether private and public-sector organizations, including providers, payers, and a leading life sciences firm. The book concludes with a preview of the future of healthcare analytics, and showing analytical professionals how to “be the change” they want to galvanize.
• Use advanced analytics to take action for members’ and patients’ health
Improve clinical quality, patient safety, and the effectiveness of prevention initiatives
• Identify your best opportunities to reduce costs and improve market share
Systematically link decisions, investments, and strategies to organizational performance
• Drive more value from your information technology investments
More fully leverage the data and systems you’ve already bought and paid for
Make healthcare analytics work: leverage its powerful opportunities for improving outcomes, cost, and efficiency.This book gives you thepractical frameworks, strategies, tactics, and case studies you need to go beyond talk to action. The contributing healthcare analytics innovators survey the field’s current state, present start-to-finish guidance for planning and implementation, and help decision-makers prepare for tomorrow’s advances. They present in-depth case studies revealing how leading organizations have organized and executed analytic strategies that work, and fully cover the primary applications of analytics in all three sectors of the healthcare ecosystem: Provider, Payer, and Life Sciences. Co-published with the International Institute for Analytics (IIA), this book features the combined expertise of IIA’s team of leading health analytics practitioners and researchers. Each chapter is written by a member of the IIA faculty, and bridges the latest research findings with proven best practices. This book will be valuable to professionals and decision-makers throughout the healthcare ecosystem, including provider organization clinicians and managers; life sciences researchers and practitioners; and informaticists, actuaries, and managers at payer organizations. It will also be valuable in diverse analytics, operations, and IT courses in business, engineering, and healthcare certificate programs.
InA 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.
About the Author
Dwight McNeill, Ph.D., MPH,
is a Lecturer at Suffolk University Sawyer Business School, where he teaches population health and health policy. He is President of WayPoint Health Analytics, which provides guidance to organizations on the analytics of population health management, behavior change, and innovation diffusion. He is the author of A Framework for Applying Analytics in Healthcare: What Can Be Learned from the Best Practices in Retail, Banking, Politics, and Sports
(FT Press 2013) and numerous journal articles including “The Value of Building Sustainable Health Care Systems: Capturing the Benefits of Health Plan Transformation” (Health Affairs).
Over his thirty year career in healthcare, he has held analytics positions in corporations at IBM and GTE; governments at the Agency for Healthcare Research and Quality and the Commonwealth of Massachusetts; analytics companies; and provider settings.
Table of Contents
Part I An Overview of Analytics in Healthcare and Life Sciences 7
Chapter 1 An Overview of Provider, Payer, and Life Sciences Analytics 9
Chapter 2 An Overview of Analytics in Healthcare Providers 15
Chapter 3 An Overview of Analytics in Healthcare Payers 23
Chapter 4 Surveying the Analytical Landscape in Life Sciences Organizations 31
Part II Strategies, Frameworks, and Challenges for Health Analytics 39
Chapter 5 Grasping the Brass Ring to Improve Healthcare Through Analytics: The Fundamentals 41
Chapter 6 A Taxonomy for Healthcare Analytics 49
Chapter 7 Analytics Cheat Sheet 55
Chapter 8 Business Value of Health Analytics 77
Chapter 9 Security, Privacy, and Risk Analytics in Healthcare 93
Chapter 10 The Birds and the Bees of Analytics: The Benefits of Cross-Pollination Across Industries 103
Part III Healthcare Analytics Implementation Methods 119
Chapter 11 Grasping the Brass Ring to Improve Healthcare Through Analytics: Implementation Methods 121
Chapter 12 Meaningful Use and the Role of Analytics: Complying with Regulatory Imperatives 129
Chapter 13 Advancing Health Provider Clinical Quality Analytics 143
Chapter 14 Improving Patient Safety Using Clinical Analytics 153
Chapter 15 Using Advanced Analytics to Take Action for Health Plan Members’ Health 161
Chapter 16 Measuring the Impact of Social Media in Healthcare 175
Part IV Best Practices in Healthcare Analytics Across the Ecosystem 185
Chapter 17 Overview of Healthcare Analytics Best Practices Across the Ecosystem 187
Chapter 18 Partners HealthCare System 195
Chapter 19 Catholic Health Initiatives 213
Chapter 20 Analytics at the Veterans Health Administration 223
Chapter 21 The Health Service Data Warehouse Project at the Air Force Medical Service (AFMS) 231
Chapter 22 Developing Enterprise Analytics at HealthEast Care System 239
Chapter 23 Aetna 245
Chapter 24 Employee Health and Benefits Management at EMC: An Information Driven Model for Engaged and Accountable Care 253
Chapter 25 Commercial Analytics Relationships and Culture at Merck 273
Conclusion Healthcare Analytics: The Way Forward 281