Competing On Healthcare Analytics: The Foundational Approach to Population Health Analytics - Softcover

Bennett, J. Bryan

Softcover

ISBN 10: 1530745209 ISBN 13: 9781530745203

Publisher: CreateSpace Independent Publishing Platform, 2016

Synopsis

The rate of change in the healthcare industry has been staggering. From Electronic Health Records to ICD-10 to Population Health, few industries have undergone such change in such a short amount of time. The silver lining is the treasure trove of digital data, which will enable providers to analyze and compare information across thousands of patients instead of relying on the anecdotal evidence they previously used. To access this knowledge, organizations are turning to analytics. Unfortunately, many organizations are rushing to implement any type of healthcare analytics program without consideration of the steps that must take place to build an effective, long-term analytics solution. Competing on Healthcare Analytics is a practical guide to implementing population health analytics. The book makes a clear argument for how an analytics initiative should be implemented using Mr. Bennett’s foundational approach and identifies the most critical success factors. Healthcare organizations should re-access their approach to implementing population health analytics after reading this book. This book includes:• A detailed healthcare transformation model which tracks the progression of analytics to become an “Analytics Focused” healthcare organization;• A discussion of the value of using the foundational approach;• Research studies performed with healthcare organization participants supporting the approach;• A healthcare organization readiness assessment;• An implementation roadmap with critical success factors;• A discussion on what it takes to be a healthcare analytics competitor.Professor Bennett has been presenting his approach to implementing population health analytics to audiences across the country to rave reviews since the summer of 2014. Now it is your turn to access this knowledge that has been honed through his work in healthcare as well as in other industries with clients such as Microsoft, BellSouth, Chase and many others.

About this title

About the Author

J. Bryan Bennett (Bryan) is a predictive analytics subject matter expert, predictive analytics course writer, and adjunct professor for Northwestern University’s School of Professional Studies. He is responsible for the development and teaching of online and classroom predictive analytics courses for international and domestic markets. Additionally, he teaches marketing analytics, business analytics, leadership, healthcare marketing, and consumer behavior courses at the graduate and undergraduate levels for other universities. Bryan is also the Executive Director for the Healthcare Center of Excellence (healthcarecoe.org) where he researches and consults on transformation issues for healthcare organizations. He is the author of the “Data Stewardship” chapter for the book ADAPTIVE Health Management Information Management and a blogger for the HIMSS Future Care website on Big Data and technology transformation issues. As a consultant, Bryan performed the analysis that led to the introduction of Rogaine for Women and created the organization design for Microsoft’s first internal global analytics group. He has over 30 years of experience helping companies, such as Chase, BellSouth, Conseco Insurance, and State Farm Insurance, implement analytics-based customer relationship marketing solutions. His work has been recognized by Gartner and his whitepaper published in Capco’s Journal of Financial Transformation. Bryan has a Master’s of Business Administration from the Northwestern University Kellogg School of Management and a Bachelor’s degree from Butler University. He is a Certified Lean Six Sigma Green Belt, Certified Data Scientist, Certified Public Accountant and Certified Adjunct Faculty Educator.

Edition details

• Publisher: CreateSpace Independent Publishing Platform
• Publication date: 2016
• Language: English
• ISBN 10: 1530745209
• ISBN 13: 9781530745203
• Binding: Paperback
• Edition number: 1
• Number of pages: 108