Open Access   Article Go Back

A Survey on Electronic Health Records and Big Data Analytics for Healthcare

S. Thirumurugam1 , P. Thambidurai2

Section:Survey Paper, Product Type: Journal Paper
Volume-06 , Issue-02 , Page no. 100-107, Mar-2018

Online published on Mar 31, 2018

Copyright © S. Thirumurugam, P. Thambidurai . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

View this paper at   Google Scholar | DPI Digital Library

How to Cite this Paper

  • IEEE Citation
  • MLA Citation
  • APA Citation
  • BibTex Citation
  • RIS Citation

IEEE Style Citation: S. Thirumurugam, P. Thambidurai, “A Survey on Electronic Health Records and Big Data Analytics for Healthcare,” International Journal of Computer Sciences and Engineering, Vol.06, Issue.02, pp.100-107, 2018.

MLA Style Citation: S. Thirumurugam, P. Thambidurai "A Survey on Electronic Health Records and Big Data Analytics for Healthcare." International Journal of Computer Sciences and Engineering 06.02 (2018): 100-107.

APA Style Citation: S. Thirumurugam, P. Thambidurai, (2018). A Survey on Electronic Health Records and Big Data Analytics for Healthcare. International Journal of Computer Sciences and Engineering, 06(02), 100-107.

BibTex Style Citation:
@article{Thirumurugam_2018,
author = {S. Thirumurugam, P. Thambidurai},
title = {A Survey on Electronic Health Records and Big Data Analytics for Healthcare},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {3 2018},
volume = {06},
Issue = {02},
month = {3},
year = {2018},
issn = {2347-2693},
pages = {100-107},
url = {https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=213},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_spl_paper_view.php?paper_id=213
TI - A Survey on Electronic Health Records and Big Data Analytics for Healthcare
T2 - International Journal of Computer Sciences and Engineering
AU - S. Thirumurugam, P. Thambidurai
PY - 2018
DA - 2018/03/31
PB - IJCSE, Indore, INDIA
SP - 100-107
IS - 02
VL - 06
SN - 2347-2693
ER -

           

Abstract

Increase in storing the Electronic Health Records (EHR) of patients has developed a large scale. Healthcare data analytics is rapidly emerging with huge potential for organizations to provide healthcare by reducing the costs and improving healthcare decisions. Analytics help in gaining the information to improve decision making by using advanced data mining tools. A healthcare information and management system uses big data analytics for operational excellence. As Electronic Healthcare records are unstructured in nature, big data adoption is gaining importance in processing and visualizing the data. Big data utilizes Hadoop framework to process the large data sets in distributing computing environment. This paper discusses the survey on the analyzation of EHR by using Big Data Analytics.

Key-Words / Index Term

Health care, Electronic Health Record, Big Data Analytics

References

[1] Xiaofeng, Meng, and Chi Xiang. "Big data management: concepts, techniques and challenges." Journal of computer research and development 1.98 (2013): 146-169.
[2] Ball, Marion J., N. C. M. N. Carla Smith, and Richard S. Bakalar. "Personal health records: empowering consumers." J Healthc Inf Manag 21.1 (2007): 77.
[3] Pizziferri, Lisa, et al. "Primary care physician time utilization before and after implementation of an electronic health record: a time-motion study." Journal of biomedical informatics 38.3 (2005): 176-188.
[4] Tang, Paul C., and Clement J. McDonald. "Electronic health record systems." Biomedical informatics (2006): 447-475.
[5] Tang, Paul C., and Clement J. McDonald. "Electronic health record systems." Biomedical informatics (2006): 447-475.
[6] Hoffman, Sharona, and Andy Podgurski. "E-Health hazards: provider liability and electronic health record systems." Berkeley Technology Law Journal (2009): 1523-1581.
[7] Zhang, Yin, et al. "Health-CPS: Healthcare cyber-physical system assisted by cloud and big data." IEEE Systems Journal 11.1 (2017): 88-95.
[8] M. Durairaj, T.S. Poornappriya, "A Review on Big Data Analytics Tools for Telecommunication Industry,"International Journal of Control Theory and Applications, Volume 9, Issue 27, pp.185-193, 2016.
[9] Gale, Nicola K., et al. "Using the framework method for the analysis of qualitative data in multi-disciplinary health research." BMC medical research methodology 13.1 (2013): 117.
[10] Jaeyong Bae, Jason M. Hockenberry, Kimberly J. Rask, Edmund R. Becker, “Evidence that electronic health records can promote physician counseling for healthy behaviors”, Health Care Manage Rev, 42(3), pp. 258-268, 2017.
[11] Claudia Leonardi, Neal R. Simonsen, Qingzhao Yu, Chi Park, Richard A. Scribner, “Street Connectivity and Obesity Risk: Evidence From Electronic Health Records”, American Journal of Preventive Medicine, 52(1S1):pp. S40–S47, 2017.
[12] Benjamin A Goldstein, Ann Marie Navar, Michael J Pencina, John PA Ioannidis, “Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review”, Journal of the American Medical Informatics Association, pp.1-11, 2016.
[13] Martin C. Gulliford, Judith Charlton, Toby Prevost, Helen Booth, Alison Fildes, Mark Ashworth, Peter Little johns, Marcus Reddy, Omar Khan, Caroline Rudisill, “Costs and Outcomes of Increasing Access to Bariatric Surgery: Cohort Study and Cost-Effectiveness Analysis Using Electronic Health Records”, Value in Health, pp. 85-92, 2017.
[14] Yih-Ing Hser, Larissa J. Mooney, Andrew J. Saxon, Karen Miotto, Douglas S. Bell, David Huang, “Chronic pain among patients with opioid use disorder: Results from electronic health records data”, Journal of Substance Abuse Treatment, pp. 26–30, 2017.
[15] Juan D Chaparro, David C Classen, Melissa Danforth, David C Stockwell, Christopher A Longhurst, “National trends in safety performance of electronic health record systems in children’s hospitals”, Journal of American Medical Informatics Association, pp. 1–8, 2016.
[16] Julian Wolfson, David M. Vock, Sunayan Bandyopadhyay, Thomas Kottke, Gabriela Vazquez-Benitez, Paul Johnson, Gediminas Adomavicius, Patrick J. O’Connor, “Use and Customization of Risk Scores for Predicting Cardiovascular Events Using Electronic Health Record Data”, Journal of American Heart Association, pp. 1-18, 2017.
[17] Matthew F. Daley, Douglas A. Newton, Lynn DeBar, Sophia R. Newcomer, Lisa Pieper, Joseph A. Boscarino, Sengwee Toh, Pamala Pawloski, James D. Nordin, Cynthia Nakasato, Lisa J. Herrinton, Regina Bussing, “Matthew F. Daley, Douglas A. Newton, Lynn DeBar, Sophia R. Newcomer, Lisa Pieper, Joseph A. Boscarino, Sengwee Toh, Pamala Pawloski, James D. Nordin, Cynthia Nakasato, Lisa J. Herrinton, Regina Bussing, “Accuracy of Electronic Health Record–Derived Data for the Identification of Incident ADHD”, Journal of Attention Disorders, pp. 1-10, 2014.
[18] Martin R. Cowie, Juuso I. Blomster, Lesley H. Curtis, Sylvie Duclaux, Ian Ford, Fleur Fritz, Samantha Goldman, Salim Janmohamed, Jo¨rg Kreuzer, Mark Leenay, Alexander Michel, Seleen Ong, Jill P. Pell, Mary Ross Southworth, Wendy Gattis Stough, Martin Thoenes, Faiez Zannad, Andrew Zalewski, “Electronic health records to facilitate clinical research”, Clin Res Cardiol, pp. 1-9, 2016.
[19] Stefan Koudstaa, Mar Pujades-Rodriguez, Spiros Denaxas, Johannes M.I.H. Gho, Anoop D. Shah, Ning Yu, Riyaz S. Patel, Chris P. Gale, Arno W. Hoes, John G. Cleland, Folkert W. Asselbergs, and Harry Hemingway, “Prognostic burden of heart failure recorded in primary care, acute hospital admissions, or both: a population-based linked electronic health record cohort study in 2.1 million people”, European Journal of Heart Failure, pp. 1-9, 2016.
[20] Yichuan Wang, LeeAnn Kung, William Yu Chung Wang, Casey G. Cegielski, “An Integrated Big Data Analytics-Enabled Transformation Model: Application to Health Care”, Information & Management, pp. 1-50,2018.
[21] Hemingway H, Feder G S, Fitzpatrick N K, Denaxas S, Shah A D & Timmis A D, “Using nationwide `big data` from linked electronic health records to help improve outcomes in cardiovascular diseases: 33 studies using methods from epidemiology, informatics, economics and social science in the ClinicAl disease research using LInked Bespoke studies and Electronic health Records (CALIBER) programme”, Programme Grants for Applied Research, Volume: 5, Issue 4, 2017.
[22] Christian R. Macedonia, Clark T. Johnson, Indika Rajapakse, “Advanced Research and Data Methods in Women’s Health- Big Data Analytics, Adaptive Studies, and the Road Ahead”, Clinical Expert Series, Obstetrics & Gynecology, pp. 249-264, Volume 129, Number 2, 2017.
[23] Scott M. Sutherland, Stuart L. Goldstein, Sean M. Bagshaw, “Leveraging Big Data and Electronic Health Records to Enhance Novel Approaches to Acute Kidney Injury Research and Care”, Blood Purification, Issue 44, pp. 68-76, 2017.
[24] Vera Ehrenstein, Henrik Nielsen, Alma B Pedersen, Søren P Johnsen, and Lars Pedersen, “Clinical epidemiology in the era of big data: new opportunities, familiar challenges”, Clinical Epidemiology, 9: pp. 245–250, 2017.