Theory and Practice of Business Intelligence in Healthcare

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)
Release Date: December, 2019|Copyright: © 2020 |Pages: 322
DOI: 10.4018/978-1-7998-2310-0
ISBN13: 9781799823100|ISBN10: 1799823105|EISBN13: 9781799823117
Hardcover:
Available
$270.00
TOTAL SAVINGS: $270.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
E-Book:
(Multi-User License)
Available
$243.00
List Price: $270.00
10% Discount:-$27.00
TOTAL SAVINGS: $27.00
Benefits
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
Hardcover +
E-Book:
(Multi-User License)
Available
$325.00
TOTAL SAVINGS: $325.00
Benefits
  • Printed-On-Demand (POD)
  • Usually ships one day from order
  • Multi-user license (no added fee)
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
OnDemand:
(Individual Chapters)
Available
$37.50
TOTAL SAVINGS: $37.50
Benefits
  • Purchase individual chapters from this book
  • Immediate PDF download after purchase or access through your personal library
Description & Coverage
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
Table of Contents
Search this Book:
Reset
Editorial Policy
In order to ensure the highest ethical practices are achieved for each book, IGI Global provides a full document of policies and guidelines that all editors, authors, and reviewers are expected to follow. View Full Editorial Policy
Peer Review Process
The peer review process is the driving force behind all IGI Global books and journals. All IGI Global reviewers maintain the highest ethical standards and each manuscript undergoes a rigorous double-blind peer review process, which is backed by our full membership to the Committee on Publication Ethics (COPE). The full publishing process and peer review are conducted within the IGI Global eEditorial Discovery® online submission system and on average takes 30 days. Learn More
Ethics & Malpractice
IGI Global affirms that ethical publication practices are critical to the successful development of knowledge. Therefore, it is the policy of IGI Global to maintain high ethical standards in all publications. These standards pertain to all books, journals, chapters, and articles accepted for publication. This is in accordance with standard scientific principles and IGI Global’s position as a source of scientific knowledge. Learn More
Archiving
All of IGI Global's content is archived via the CLOCKSS and LOCKSS initiative. Additionally, all IGI Global published content is available in IGI Global's InfoSci® platform.