Abstract
It is proven that Big Data is related to an increase in efficiency and effectiveness in many areas. Although many studies have been conducted trying to prove the value of Big Data in healthcare/medicine, few practical advances have been made. In this project, an analysis and a comparison were made of the existing Big Data technologies applied in healthcare. We analyzed a Big Data solution developed for the INTCare project, a Hadoop-based solution proposed for the Maharaja Yeshwatrao hospital located in India and a solution that uses Apache Spark. The three solutions mentioned above are based on open source technology. The IBM PureData Solution for Healthcare Analytics solution used at Seattle’s Children’s Hospital and the Cisco Connected Health Solutions and Services solution are part of the proprietary solutions analyzed.
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Acknowledgements
This work has been supported by COMPETE: POCI-01-0145-FEDER-007043 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2013.
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Torres, H., Portela, F., Santos, M.F. (2018). An Overview of Big Data Architectures in Healthcare. In: Rocha, Á., Adeli, H., Reis, L., Costanzo, S. (eds) Trends and Advances in Information Systems and Technologies. WorldCIST'18 2018. Advances in Intelligent Systems and Computing, vol 747. Springer, Cham. https://doi.org/10.1007/978-3-319-77700-9_19
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