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:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- 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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Works referenced in this record:
Ethical Collection, Storage, and Use of Public Health Data: A Proposal for a National Privacy Protection
journal, July 2009
- Lee, Lisa M.; Gostin, Lawrence O.
- JAMA, Vol. 302, Issue 1
Defining and Improving Data Quality in Medical Registries: A Literature Review, Case Study, and Generic Framework
journal, July 2002
- Arts, D. G. T.
- Journal of the American Medical Informatics Association, Vol. 9, Issue 6
Improving Quality, Minimizing Error: Making It Happen
journal, May 2001
- Becher, Elise C.; Chassin, Mark R.
- Health Affairs, Vol. 20, Issue 3
Toward a National Framework for the Secondary Use of Health Data: An American Medical Informatics Association White Paper
journal, January 2007
- Safran, C.; Bloomrosen, M.; Hammond, W. E.
- Journal of the American Medical Informatics Association, Vol. 14, Issue 1
The National Clinical Database as an Initiative for Quality Improvement in Japan
journal, October 2014
- Murakami, Arata; Hirata, Yasutaka; Motomura, Noboru
- The Korean Journal of Thoracic and Cardiovascular Surgery, Vol. 47, Issue 5
SAP HANA database: data management for modern business applications
journal, January 2012
- Färber, Franz; Cha, Sang Kyun; Primsch, Jürgen
- ACM SIGMOD Record, Vol. 40, Issue 4
The pattern of medical errors and litigation against doctors in Saudi Arabia
journal, January 2013
- AlJarallah, JamalS; AlRowaiss, Norah
- Journal of Family and Community Medicine, Vol. 20, Issue 2
Health-Care Data Collecting, Sharing, and Using in Thailand, China Mainland, South Korea, Taiwan, Japan, and Malaysia
journal, January 2012
- Aljunid, Syed Mohamed; Srithamrongsawat, Samrit; Chen, Wen
- Value in Health, Vol. 15, Issue 1
The Inevitable Application of Big Data to Health Care
journal, April 2013
- Murdoch, Travis B.; Detsky, Allan S.
- JAMA, Vol. 309, Issue 13
Handheld computers for data entry: high tech has its problems too
journal, February 2007
- Shelby-James, Tania M.; Abernethy, Amy P.; McAlindon, Andrew
- Trials, Vol. 8, Issue 1
‘Big Data’ collaboration: Exploring, recording and sharing enterprise knowledge
journal, November 2013
- Sukumar, Sreenivas R.; Ferrell, Regina K.
- Information Services & Use, Vol. 33, Issue 3-4
Wrangler: interactive visual specification of data transformation scripts
conference, May 2011
- Kandel, Sean; Paepcke, Andreas; Hellerstein, Joseph
- CHI '11: CHI Conference on Human Factors in Computing Systems, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Works referencing / citing this record:
The Challenges of Diagnostic Imaging in the Era of Big Data
journal, March 2019
- Aiello, Marco; Cavaliere, Carlo; D’Albore, Antonio
- Journal of Clinical Medicine, Vol. 8, Issue 3
Multimedia Big Data Analytics: A Survey
journal, April 2018
- Pouyanfar, Samira; Yang, Yimin; Chen, Shu-Ching
- ACM Computing Surveys, Vol. 51, Issue 1
Prioritizing research challenges and funding for allergy and asthma and the need for translational research—The European Strategic Forum on Allergic Diseases
journal, June 2019
- Agache, Ioana; Annesi‐Maesano, Isabella; Bonertz, Andreas
- Allergy, Vol. 74, Issue 11
Big data in lean six sigma: a review and further research directions
text, January 2020
- Gupta, Shivam; Modgil, Sachin; Gunasekaran, Angappa
- Taylor & Francis
Qualitative subjective assessment of a high‐resolution database in a paediatric intensive care unit—Elaborating the perpetual patient's ID card
journal, May 2019
- Brossier, David; Sauthier, Michael; Mathieu, Audrey
- Journal of Evaluation in Clinical Practice, Vol. 26, Issue 1
Collaborative data familiarisation and quality assessment: Reflections from use of a national dataset to investigate palliative care for Indigenous Australians
journal, March 2020
- Woods, John A.; Johnson, Claire E.; Allingham, Samuel F.
- Health Information Management Journal
A data quality framework, method and tools for managing data quality in a health care setting: an action case study
journal, April 2018
- Bai, Lu; Meredith, Rob; Burstein, Frada
- Journal of Decision Systems, Vol. 27, Issue sup1
Toward Data-Driven Radiology Education—Early Experience Building Multi-Institutional Academic Trainee Interpretation Log Database (MATILDA)
journal, March 2016
- Chen, Po-Hao; Loehfelm, Thomas W.; Kamer, Aaron P.
- Journal of Digital Imaging, Vol. 29, Issue 6
Panacea of challenges in real-world application of big data analytics in healthcare sector
journal, October 2019
- Shah, Grishma; Shah, Abhishek; Shah, Manan
- Journal of Data, Information and Management, Vol. 1, Issue 3-4
Applying STOPP Guidelines in Primary Care Through Electronic Medical Record Decision Support: Randomized Control Trial Highlighting the Importance of Data Quality
journal, January 2017
- Price, Morgan; Davies, Iryna; Rusk, Raymond
- JMIR Medical Informatics, Vol. 5, Issue 2
A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining
journal, May 2018
- Islam, Md; Hasan, Md; Wang, Xiaoyi
- Healthcare, Vol. 6, Issue 2
Big data in lean six sigma: a review and further research directions
journal, April 2019
- Gupta, Shivam; Modgil, Sachin; Gunasekaran, Angappa
- International Journal of Production Research, Vol. 58, Issue 3
Prioritizing Research Challenges and Funding for Allergy and Asthma and the Need for Translational Research — The European Strategic Forum on Allergic Diseases
journal, January 2020
- Agache, I.; Annesi-Maesano, I.; Bonertz, A.
- Pediatric pharmacology, Vol. 16, Issue 5
Big data in lean six sigma: a review and further research directions
text, January 2020
- Gupta, Shivam; Modgil, Sachin; Gunasekaran, Angappa
- Taylor & Francis