IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Benefits and Barriers in Mining the Healthcare Industry Data

Benefits and Barriers in Mining the Healthcare Industry Data
View Sample PDF
Author(s): John Wang (Department of Information & Operations Management, Montclair State University, Montclair, NJ, USA), Bin Zhou (College of Business, University of Houston-Downtown, Houston, TX, USA)and Ruiliang Yan (Department of Management & Marketing, Texas A&M University-Commerce, Commerce, TX, USA)
Copyright: 2012
Volume: 3
Issue: 4
Pages: 17
Source title: International Journal of Strategic Decision Sciences (IJSDS)
Editor(s)-in-Chief: Saeed Tabar (Ball State University, USA)
DOI: 10.4018/jsds.2012100103

Purchase

View Benefits and Barriers in Mining the Healthcare Industry Data on the publisher's website for pricing and purchasing information.

Abstract

The authors’ paper addresses the applications of data mining within the healthcare industry. Healthcare data are seen as one of the more rewarding and most difficult of all data to analyze. Proper data mining techniques provide the methodology and technology to transform the voluminous amounts of data into useful information for decision making. Data mining can be utilized to help find cures for existing diseases, uncovering patterns for genetic diseases and the causes of new diseases across the globe. By implementing data mining techniques the industry is finally gaining control over the inadequacy of readily available records. Data mining has been used in patient care, healthcare plans, and administration. By utilizing these methods, hospitals and healthcare insurance providers alike are able to save millions of dollars, administration headaches, and most importantly, countless lives.

Related Content

Huili Xia, Feng Xue. © 2024. 15 pages.
Rakesh Garg, Supriya Raheja. © 2023. 19 pages.
Sérgio Pedro Duarte, Jorge Pinho de Sousa, Jorge Freire de Sousa. © 2023. 20 pages.
Daouda KAMISSOKO, Didier Gourc, François Marmier, Antoine Clement. © 2023. 21 pages.
Fatima C.C. Dargam, Erhard Perz, Stefan Bergmann, Ekaterina Rodionova, Pedro Sousa, Francisco Alexandre A. Souza, Tiago Matias, Juan Manuel Ortiz, Abraham Esteve-Nuñez, Pau Rodenas, Patricia Zamora Bonachela. © 2023. 20 pages.
Jorge Vareda Gomes, Mário José Batista Romão. © 2023. 15 pages.
Aasia Rehman, Muheet A. Butt, Majid Zaman. © 2023. 17 pages.
Body Bottom