A dynamic approach to medical data for smart Indian healthcare

Shaikh, T.A. and Ali, R. (2017) A dynamic approach to medical data for smart Indian healthcare. Proceedings of the 2017 International Conference On Big Data Analytics and Computational Intelligence, ICBDACI 2017. pp. 158-162.

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Official URL: http://ieeexplore.ieee.org/document/8070828/


Data nowadays has become the utmost asset for taking any intelligent business decision and in the age of Big Data it has become backbone of every knock and corner, and thus it has become the fuel for the analytics phase. In Big Data, data is not only available in bulk voluminous amount but also possess complex diverse formats because of the varying sources of data. Modern Healthcare generates a large amount of diverse data related to patients in digital format. Since modern web applications gives a static view of the patient related data like EHR (Electronic Healthcare Record), PHR (Personal Healthcare Record), EMR (Electronic Medical Record), MRN (Medical Record Number), MHR (Mobilized Health Record) and Electronic Healthcare Predictive Analytics (e-HPA) in US hospitals, which lack in flexibility when multiple medical data are shown at the same time. This may ignore the users to concentrate on important aspects of their health status and physicians to lose critical patients situations. This paper proposes a prototype of a dynamic and fully customizable Graphical User Interface (GUI) for the Indian Healthcare which will replace the static web pages of patients in order to provide patients with current and historical medical data, and allow them to analyze their lifestyle. This real-time health monitoring will give patients a better awareness on their overall status.

Item Type: Article
Uncontrolled Keywords: Big Data; Data Driven Healthcare Organisation (DDHA); EHR (Electronic Health Record)
Subjects: T Technology > T Technology (General)
Divisions: Faculties > Faculty of Engineering and Technology > Zakir Husain College of Engineering & Technology > Department of Computer Engineering
Depositing User: AMU Library
Date Deposited: 05 Feb 2018 05:54
Last Modified: 05 Feb 2018 06:42
URI: http://ir.amu.ac.in/id/eprint/11098

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