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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 7

Issue Published : 75

Article Submitted : 4262

Article Published : 2397

Total Authors : 6316

Total Reviewer : 532

Total Countries : 44

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Paper Title: EFFECTIVE IMPLEMENTATION OF DATA SEGREGATION & EXTRACTION USING BIG DATA IN E-HEALTH INSURANCE AS A SERVICE
Authors Name: A. Arun , G. Kumaresan
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IJRTI_170021
Published Paper Id: IJRTI1702006
Published In: Volume 2 Issue 2, February-2017
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Abstract: The rise of big data applications where data collection has grown tremendously and is beyond the ability of commonly used software tools to capture, manage, and process within a “tolerable elapsed time”. A now day’s E-hospital record becomes most important in many countries. There are much standardization putting effort on data exchange and interoperability. E-hospital document provides different applications consider medical research, accounting, billing and commerce intellectual property. E-Health Record decrease human workload, hospital cost and modify individual health management. Due to E-hospital record user can access and store health record like emergency information like blood group, medication history and electronic prescription. In cloud E-hospital document store and process very sensitive patient data and should have a proper privacy framework and security mechanism since the reveal of health record may have social result consequence especially for patients. A prototype of a POC system aims at assisting medical doctors with the interpretation of drug concentration values and conducting clinical studies. It will make a censorious step towards personal medicine, and demo the practicability of performing Therapeutic Drug Monitoring (TDM) using portable devices while decreasing costs and improving treatment efficiency. In the modification, we are analyzing more number of Factors like Disease Types with its Corresponding Reasons, Insurance policy Details with Sanctioned Amount, Family Grade wise Segregation.
Keywords: E-hospital, Therapeutic Drug Monitoring, POC, big data.
Cite Article: "EFFECTIVE IMPLEMENTATION OF DATA SEGREGATION & EXTRACTION USING BIG DATA IN E-HEALTH INSURANCE AS A SERVICE", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.2, Issue 2, page no.26 - 30, February-2017, Available :http://www.ijrti.org/papers/IJRTI1702006.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI1702006
Registration ID:170021
Published In: Volume 2 Issue 2, February-2017
DOI (Digital Object Identifier):
Page No: 26 - 30
Country: Unknown, Unknown, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI1702006
Published Paper PDF: https://www.ijrti.org/papers/IJRTI1702006
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

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