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Theory and Practice of Business Intelligence in Healthcare

Jiban Khuntia (University of Colorado, Denver, USA), Xue Ning (University of Colorado, Denver, USA), and Mohan Tanniru (Oakland University, USA)
Indexed In: SCOPUS
Release Date: December, 2019 | Copyright: © 2020 | Pages: 322

Publication Status: E-Book and Print Version Available for Purchase
ISBN13: 9781799823100
EISBN13: 9781799823117
DOI: 10.4018/978-1-7998-2310-0

Description:

Business intelligence supports managers in enterprises to make informed business decisions in various levels and domains such as in healthcare. These technologies can handle large structured and unstructured data (big data) in the healthcare industry. Because of the complex nature of healthcare data and the significant impact of healthcare data analysis, it is important to understand both the theories and practices of business intelligence in healthcare.

Theory and Practice of Business Intelligence in Healthcare is a collection of innovative research that introduces data mining, modeling, and analytic techniques to health and healthcare data; articulates the value of big volumes of data to health and healthcare; evaluates business intelligence tools; and explores business intelligence use and applications in healthcare. While highlighting topics including digital health, operations intelligence, and patient empowerment, this book is ideally designed for healthcare professionals, IT consultants, hospital directors, data management staff, data analysts, hospital administrators, executives, managers, academicians, students, and researchers seeking current research on the digitization of health records and health systems integration.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Assistive Technologies
  • Clinical Analytics
  • Data Analytics
  • Decision Support Systems
  • Digital Health
  • Machine Learning
  • Operations Intelligence
  • Patient Empowerment
  • Public-Private Partnerships

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Xue Ning is a Lecturer of Information Systems at the Business School of the University of Colorado Denver. Her main research interest is the economics of information systems with a focus on the IT strategy and IS/IT for sustainability. Her work has appeared in refereed conference proceedings, including the International Conference on Information Systems, Academy of Management, and others. She is pursuing Ph.D. in Computer Science and Information Systems at the University of Colorado Denver. She worked with international organizations in South Korea before moving to Denver.

Mohan Tanniru is the Professor in the Division of Public Health Practice and Translational Research in the Mel and Enid Zuckerman College of Public Health, U of Arizona, Tucson/Phoenix and a senior investigator in the Global Health Initiative at Henry Ford Health System in Detroit, MI. He is also an emeritus professor of MIS of Oakland University. He was the former Dean of the School of Business and the Dept. Head of MIS at U of Arizona. He has published over 90 research articles and his work has appeared in journals such as ISR, MIS Quarterly, Decision Sciences, DSS, JMIS, IEEE Transactions in Eng. Management, Expert Systems, and Applications, Information and Management, CACM, as well as Health Policy and Technology, J of Patient Satisfaction, J of Healthcare Management and J of Healthcare Administration. He worked with over 70 large and small corporations in support of research and teaching.

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