Hadoop Map Only Job for Enciphering Patient-Generated Health Data

Arushi Jain and Vishal Bhatnagar
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Arushi Jain: Ambedkar Institute of Advanced Communication Technologies and Research, Department of Computer Science and Engineering, New Delhi, India
Vishal Bhatnagar: Ambedkar Institute of Advanced Communication Technologies and Research, Department of Computer Science and Engineering, New Delhi, India

International Journal of Information Retrieval Research (IJIRR), 2017, vol. 7, issue 4, 72-86

Abstract: Today, Big Data is being leveraged in many industries from criminal justice to health care to real estate with powerful outcomes. Organizations are using Big Data to predict the future in turn making them smarter and efficient. All the health care data such as discharge and transfer patient data maintained in Computer based Patient Records (CPR), Personal Health Information (PHI), and Electronic Health Records (EHR). The use of Big Data analytics is becoming increasingly popular at health care centres, in clinical research, and consumer based medical product development. The biggest challenge with implementation of big data is that the nature of information of public health sector is of very sensitive nature and needs to be protected from unauthorized access and release of contents. Therefore, to provide solution to the deidentifying personal health big data in this paper we author make use of only mapper job framework for data encryption.

Date: 2017
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