Advances and Scope in Big Data Analytics in Healthcare

Ajit Kumar Roy
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Ajit Kumar Roy: Institute of Genetic Engineering, India

Current Trends in Biomedical Engineering & Biosciences, 2017, vol. 9, issue 2, 28-34

Abstract: Global healthcare industry is under significant pressure to reduce costs and more efficiently manage resources while improving patient care. Rising costs, chronic illness, an aging population and a shortage of professionals are forcing massive changes in the healthcare industry. To gain insight into how they can improve service while reducing costs, healthcare payers and providers are turning to data and analytics. Today Big data in healthcare is a hot issue. Therefore, in this communication, it is attempted to briefly present definitions, sources of big data, characteristics of Big Data, the architectural framework of big data analytics required in healthcare application. Big data analytics in healthcare reported in various literature are highlighted particularly on clinical data, Pharmaceutical data, Patient behavior, sentiment data, viral and Global Infectious Disease Surveillance. Lastly, the challenges are identified followed by future directions and advantages of big data analytics in healthcare.

Keywords: juniper publishers group; juniper publishers Biomedical Engineering journals; Biomedical Engineering journals list; medical devices journals; peer reviewed Biomedical Engineering journals; open access Biomedical Engineering journals; Biomedical Engineering journals impact factor; Biomedical Engineering scientific journals; Biomedical Engineering articles; scholarly Biomedical Engineering journals; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jctbeb:v:9:y:2017:i:2:p:28-34

DOI: 10.19080/CTBEB.2017.09.555758

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