<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>Journal of Business and Management Sciences</journalTitle>
<eissn>2333-4533</eissn>
<publicationDate>2018-06-29</publicationDate>
<volume>6</volume>
<issue>3</issue>
<startPage>104</startPage>
<endPage>111</endPage>
<doi>10.12691/jbms-6-3-7</doi>
<publisherRecordId>JBMS2018637</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Big Data and Data-Driven Healthcare Systems</title>
<authors>
<author>
<name>Cheryl Ann Alexander</name>
<email>tech.health.sol@gmail.com</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>Lidong Wang</name>
<affiliationId>2</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Institute for Information Technology Innovations &amp; Smart Healthcare, Vicksburg, MS, USA</affiliationName>
<affiliationName affiliationId="2">Institute for Systems Engineering Research, Mississippi State University, Vicksburg, MS, USA</affiliationName>
</affiliationsList>
<abstract language="eng">Data analytics has been used in healthcare. Healthcare systems generate big data. Traditional data management techniques are often unable to manage the voluminous amounts of data produced in healthcare systems. Big Data analytics which is overcoming the limitations of traditional data analytics will bring revolutions in healthcare systems. Big data and Big Data analytics in healthcare systems are presented in this paper. Information security, privacy, and challenges of Big Data analytics in healthcare are also discussed.</abstract>
<fullTextUrl format="pdf">http://pubs.sciepub.com/jbms/6/3/7/jbms-6-3-7.pdf</fullTextUrl>
<keywords language="eng"><keyword>big data</keyword>
<keyword>big data analytics</keyword>
<keyword>cloud computing</keyword>
<keyword>fog computing</keyword>
<keyword>stream processing</keyword>
<keyword>healthcare</keyword>
<keyword>personalized medicine</keyword>
<keyword>information security</keyword>
<keyword>privacy</keyword>
</keywords>
</record>
</records>
