A Survey on Bigdata in Healthcare

Abstract

Big data refers to vast volumes of data that can be used to solve problems. It has piqued people's imagination over the last two decades due to the enormous promise it holds. Big data is generated, stored, and analyzed by a variety of public and private sector sectors to enhance the services they offer. Hospital reports, patient history records, medical test outcomes, and IoT technologies are all examples of big data providers in the healthcare sector. Biomedical science often provides a vast volume of big data that is important to public health. To extract useful data from this information, it must be properly managed and analyzed. Alternatively, discovering a solution by studying large data is akin is very hard. Each of these phases in managing big data comes with its own set of problems that can only be solved by utilizing high-end computational strategies for big data analytics. As a result, healthcare facilities must be properly prepared with sufficient technology to systematically produce and interpret big data to offer relevant strategies for enhancing public health. Big data that is managed, analyzed, and interpreted effectively will shift the paradigm by opening new doors for contemporary healthcare applications. It seems that a variety of sectors, like the healthcare sector, are working hard to transform this opportunity into quality facilities and economic benefits. Contemporary healthcare institutions could be able to revolutionize experimental treatments and precision treatment through the deep incorporation of biomedical and healthcare details.