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Title: Quality of Big Data in Healthcare

Abstract

The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.

Authors:
 [1];  [2];  [1]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  2. Tennessee Technological Univ., Cookeville, TN (United States)
Publication Date:
Research Org.:
Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1193181
Grant/Contract Number:  
AC05-00OR22725
Resource Type:
Accepted Manuscript
Journal Name:
International Journal of Health Care Quality Assurance
Additional Journal Information:
Journal Volume: 28; Journal Issue: 6; Journal ID: ISSN 0952-6862
Publisher:
Emerald
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; data quality; health data; best practices

Citation Formats

Sukumar, Sreenivas R., Ramachandran, Natarajan, and Ferrell, Regina Kay. Quality of Big Data in Healthcare. United States: N. p., 2015. Web. doi:10.1108/IJHCQA-07-2014-0080.
Sukumar, Sreenivas R., Ramachandran, Natarajan, & Ferrell, Regina Kay. Quality of Big Data in Healthcare. United States. https://doi.org/10.1108/IJHCQA-07-2014-0080
Sukumar, Sreenivas R., Ramachandran, Natarajan, and Ferrell, Regina Kay. Thu . "Quality of Big Data in Healthcare". United States. https://doi.org/10.1108/IJHCQA-07-2014-0080. https://www.osti.gov/servlets/purl/1193181.
@article{osti_1193181,
title = {Quality of Big Data in Healthcare},
author = {Sukumar, Sreenivas R. and Ramachandran, Natarajan and Ferrell, Regina Kay},
abstractNote = {The current trend in Big Data Analytics and in particular Health information technology is towards building sophisticated models, methods and tools for business, operational and clinical intelligence, but the critical issue of data quality required for these models is not getting the attention it deserves. The objective of the paper is to highlight the issues of data quality in the context of Big Data Healthcare Analytics.},
doi = {10.1108/IJHCQA-07-2014-0080},
journal = {International Journal of Health Care Quality Assurance},
number = 6,
volume = 28,
place = {United States},
year = {Thu Jan 01 00:00:00 EST 2015},
month = {Thu Jan 01 00:00:00 EST 2015}
}

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