BIG DATA TECHNOLOGY APPLICATIONS IN AUTOMATED HEALTH CARE MANAGEMENT SYSTEM

Rajesh Mothe, B.Vijay Kumar, G. Sunil

Abstract


Generally Automation plays an important role in the global economy and in daily life. The Automated Healthcare Management System is an automated system that is used to manage patient information and its administration. In existing system facing problems at large scale performing large-scale analysis is difficult. To work with this amount of data requires distributing parts of the problem to multiple machines to manage in parallel. Whenever multiple machines are used in cooperation with one another, the chance of failures rises. In a single-machine environment, loss is not something that program designers explicitly worry about very often: if the machine has stopped, then there is no way for the program to recover anyway. This paper label the problem of data quality in electronic patient records using a computerized patient records report system with Apache HIVE and abstraction of Map reduce of big data technology. We found which patient is spending more money than the others with the Map reduce. We received the data to be processed from traditional system to Hadoop via ETL's. We sorted out this with Oozie scheduler in Hadoop. The data what you are going to examine is a semi-structured data. After dumping their data to cluster anyone can access them again provided they got to be in the cluster or can also use virtual machines that contain the right software to analyze them without any need for conversion.

Keywords


AHMS, Oozie, HIVE, Mapreduce, ETLs, Hadoop.

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DOI: https://doi.org/10.26483/ijarcs.v8i9.4921

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