Transforming Healthcare Analytics The Quest for Healthy Intelligence

Real-life examples of how to apply intelligence in the healthcare industry through innovative analytics

Healthcare analytics offers intelligence for making better healthcare decisions. Identifying patterns and correlations contained in complex health data, analytics has applications in hospital management, patient records, diagnosis, operating and treatment costs, and more. Helping healthcare managers operate more efficiently and effectively.

Transforming Healthcare Analytics: The Quest for Healthy Intelligence shares real-world use cases of a healthcare company that leverages people, process, and advanced analytics technology to deliver exemplary results.

This book illustrates how healthcare professionals can transform the healthcare industry through analytics. Practical examples of modern techniques and technology show how unified analytics with data management can deliver insight-driven decisions. The authors—a data management and analytics specialist and a healthcare finance executive—share their unique perspectives on modernizing data and analytics platforms to alleviate the complexity of the healthcare, distributing capabilities and analytics to key stakeholders, equipping healthcare organizations with intelligence to prepare for the future, and more. This book:

• Explores innovative technologies to overcome data complexity in healthcare
• Highlights how analytics can help with healthcare market analysis to gain competitive advantage
• Provides strategies for building a strong foundation for healthcare intelligence
• Examines managing data and analytics from end-to-end, from diagnosis, to treatment, to provider payment
• Discusses the future of technology and focus areas in the healthcare industry

Transforming Healthcare Analytics: The Quest for Healthy Intelligence is an important source of information for CFO’s, CIO, CTO, healthcare managers, data scientists, statisticians, and financial analysts at healthcare institutions.

Michael N. Lewis (Bay Village, Ohio) is Senior Director, Enterprise Analytics at Cleveland Clinic where he directs an industry-leading, cross-functional team to promote the design, implementation, and monitoring of innovative solutions through the coordinated and systematic use of clinical, outcomes and encounter-based data, related business insights and multi-disciplinary skill set to drive fact-based decision making for planning, management, measurement and learning through applied analytical disciplines (e.g. statistical, contextual, quantitative, predictive, cognitive, other models) using descriptive, predictive or prescriptive methods. Prior to joining Cleveland Clinic, Lewis was Regional Network manager at Medical Mutual of Ohio Cleveland where he was responsible for the development, management, and oversight of regional and national networks.

Tho H. Nguyen THO H. NGUYEN is an author, a data and analytics adviser, and a technology enthusiast delivering value-added business solutions with emphasis on increasing economics, governance, and performance. With over 20 years in leadership roles, he has extensive experience in management, an active speaker on analytic and data management topics, a philanthropist who believes in ‘paying it forward,’ and a community leader and volunteer promoting inclusion and diversity.

About the Authors xi

Acknowledgments xiii

Foreword xvii

Chapter 1 Introduction 1

Chapter 2 People 33

Chapter 3 Process 87

Chapter 4 Technology 125

Chapter 5 Unifying People, Process, and Technology 161

Chapter 6 The Future in Healthcare 197

Chapter 7 Final Thoughts 231

Index 253

The New copy of this book will include any supplemental materials advertised. Please check the title of the book to determine if it should include any access cards, study guides, lab manuals, CDs, etc.

The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.