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Personal Health Record Management System Using Hadoop Framework: An Application for Smarter Health Care

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Soft Computing Applications (SOFA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 633))

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Abstract

Health care informatics now can map a rural health center to ‘n’ number of city hospitals is no more a research agenda. The remote diagnostics, alert services, and finding ambulances can be talented over mobile devices. However, to support such services massive data sets are to be processed in a short span of time. It is possible only when un-structured data sets can be processed in parallel with some degree of fault tolerance. The Hadoop distributed framework and Map/Reduce engine can process such hundreds of terabytes of data at a low cost. An electronic health record (EHR) is a real-time, patient-centered archive. A personal health record (PHR) is maintained by patient securely. In this work, a web enabled distributed EHR and PHR management framework using Hadoop HBase, is proposed. It will assist patient’s data exploration for advanced data analytics on demand.

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Correspondence to Bidyut Biman Sarkar .

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Sarkar, B.B., Paul, S., Cornel, B., Rohatinovici, N., Chaki, N. (2018). Personal Health Record Management System Using Hadoop Framework: An Application for Smarter Health Care. In: Balas, V., Jain, L., Balas, M. (eds) Soft Computing Applications. SOFA 2016. Advances in Intelligent Systems and Computing, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-62521-8_33

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  • DOI: https://doi.org/10.1007/978-3-319-62521-8_33

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