Big Data Analytics in a Public General Hospital
Obtaining information and knowledge from big data has become a common practice today, especially in health care. However, a number of challenges make the use of analytics in health care data difficult. The aim of this paper is to present the big data analytics framework defined and implemented at an important Brazilian public hospital, which decided to use this technology to provide insights that will help improve clinical practices. The framework was validated by a use case in which the goal is to discover the behavior patterns of nosocomial infections in the institution. The architecture was defined, evaluated, and implemented. The overall result was very positive, with a relatively simple process for use that was able to produce interesting analytical results.
KeywordsBig data Data analysis Medical information Decision support system Nosocomial infections
The authors would like to thank CAPGEMINI Brazil for their financial support; the EMC Brazil for providing the computer servers and technical support; and Hospital de Clínicas de Porto Alegre for their assistance with the data supply and technical information. Finally, we would like to thank for the team involved in this project: Ulisses Souza, Raul Hara, Margarita Bastos, Kefreen Batista, Jean Michel, Luis Macedo, Lais Cervoni, Juliano Pessini and the staff of CAPGEMINI.
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