Business intelligence for cancer prevention and control: A case study at the Brazilian national cancer institute

Abstract

The number of healthcare organizations that successfully use data science in their clinical and operational decision making processes is increasing substantially. Studies show that there is a big potential regarding the use of analytical tools to support epidemiologic cancer research. The use of data mining to support the assessment of early detection programs is one of the main strategies of Brazil’s cancer control program and motivated the Brazilian National Cancer Institute (INCA) to develop applications to improve decision making processes. This article presents the development of Business intelligence (BI) systems employed on the management, processing and analysis of a large-scale data for cancer prevention and control.