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Business Intelligence and Nosocomial Infection Decision Making
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Author(s): Eva Silva (University of Minho, Portugal), Ana Alpuim (University of Minho, Portugal), Luciana Cardoso (University of Minho, Portugal), Fernando Marins (University of Minho, Portugal), César Quintas (Centro Hospitalar do Porto, Portugal), Carlos Filipe Portela (University of Minho, Portugal), Manuel Filipe Santos (University of Minho, Portugal), José Machado (University of Minho, Portugal)and António Abelha (University of Minho, Portugal)
Copyright: 2015
Pages: 23
Source title:
Integration of Data Mining in Business Intelligence Systems
Source Author(s)/Editor(s): Ana Azevedo (Algoritmi R&D Center/University of Minho, Portugal & Polytechnic Institute of Porto/ISCAP, Portugal)and Manuel Filipe Santos (Algoritmi R&D Center/University of Minho, Portugal)
DOI: 10.4018/978-1-4666-6477-7.ch010
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Abstract
The implementation of Business Intelligence tools in healthcare organizations helps the managers and the healthcare professionals in their decision making process through data manipulation and data analysis. The main goal of this chapter is to evaluate the applicability of the Business Intelligence tools and concepts to healthcare and their performance as a Clinical Decision Support System, analyzing the evolution of nosocomial infection in the Centro Hospitalar do Porto, by defining a set of indicators that can help the nosocomial infection management and inducing Data Mining models to predict the occurrence of nosocomial infections (sensitivity of 91%). The knowledge obtained with the analysis of the indicators and the knowledge obtained with the nosocomial infection prediction can be applied by healthcare professionals in their decision making. Through the analysis of the data collected, Business Intelligence tools help overcome the problems associated with the complexity, heterogeneity, and distributiveness present in the healthcare environment.
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