Novel Design using Hadoop Technique for Managing and Integration of Clinical Data

Authors

  • Krishnamoorthy R, Dineshkumar T, Syed Mazhar A, Thirumalai M

Abstract

Conventional methods and tools for processing the huge amount of data in medical field does not meet the need hence these challenges of big data of medical field has to be resolved in order to realize the big data’s promise. The process of integration is aimed as it is a critical problem. This paper proposes the integration of clinical data with the system to manage the data based on the platform of Hadoop. The system is connected with various sources of heterogeneous source of data namely LIC, EMR and PACS. Based on the sharing of data, the history of the patient’s medical record can be retrieved in order to understand different information about the patient’s health issue. Information system in medical field collect data and high storage is required for saving medical history of patients. Extraction of useful information can be done by PHR or EMR for providing prescription for the patients while the same data can provide support for doing research through statistics of the results and data analysis. But data storage for massive health care is not possible through the framework of RDBMS. Hence, the proposed method implements Hadoop framework for management of data in massive health care which archives scalability, better performance and tolerance of faults.

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Published

2020-05-16

Issue

Section

Articles