Governing Medical Big Data, Protecting Patient Privacy
Bilal Jibai1, Hassan Najdi2
1Bilal Jibai, Department of Management Information, International University of Beirut, Lebanon.
2Hassan Najdi, MBA, MIS, Department of Management Information Systems, International University of Beirut, Lebanon.
Manuscript received on 11 May 2019 | Revised Manuscript received on 19 May 2019 | Manuscript Published on 23 May 2019 | PP: 1659-1668 | Volume-7 Issue-6S5 April 2019 | Retrieval Number: F12950476S519/2019©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: With the power that big data provide to managers and organizations to yield insights for optimal institutional decision making, much concerns on the privacy of individuals rise on how collected information are reused. Individuals, here, are patients in the healthcare context. The study proposes a model for governing Big Data mapping traditional data governance practices while integrating security and privacy practices ensuring its continuity past Big Data processing and analytics.
Keywords: Big Data, Data Governance, Information Security, Information Privacy, Compliance, Healthcare Sector.
Scope of the Article: Big Data Analytics Application Systems