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.
--U.S. Senator Sheldon Whitehouse, State of Rhode Island If you re in healthcare, you ll find that seemingly intractable challenges have already been solved elsewhere. This book will open your eyes to a new set of possibilities.
The book is split into five sections: big data infrastructure, framework and design for smart healthcare; signal processing techniques for smart healthcare applications; business analytics (descriptive, diagnostic, predictive and ...
The book provides the latest research findings on the use of big data analytics with statistical and machine learning techniques that analyze huge amounts of real-time healthcare data.
In D. Harman, editor, Overview of the Third Text REtrieval Conference (TREC-3), pages 29–38, Gaithersburg, MD, 1994. National Institute of Standards and Technology. [16] C. Buckley. The Smart project at TREC. Voorhees and Harman [2005], ...
This Handbook: Instills analytics scholars with a way of thinking that incorporates behavioral, incentive, and policy considerations in various healthcare settings.
A. Pettigrew, E. Ferlie, and L. McKee, Shaping Strategic Change: Making Change in Large Organizations: The Case of the National Health Service (London: Sage, 1992). Don Berwick, “Disseminating Innovations in Health Care,” Journal ofthe ...
As the rapidly expanding and heterogeneous nature of healthcare data poses challenges for big data analytics, this book targets researchers and bioengineers from areas of machine learning, data mining, data management, and healthcare ...
This book offers a practical introduction to healthcare analytics that does not require a background in data science or statistics.
The book is useful for those working with big data analytics in biomedical research, medical industries, and medical research scientists.
Various techniques, methodologies, and algorithms are presented in this book to organize data in a structured manner that will assist physicians in the care of patients and help biomedical engineers and computer scientists understand the ...