Review Article Open Access

Big Data in Medical Applications and Health Care

Lidong Wang1 and Cheryl Ann Alexander2
  • 1 Mississippi Valley State University, United States
  • 2 University of Phoenix, United States


Big Data can unify all patient related data to get a 360-degree view of the patient to analyze and predict outcomes. It can improve clinical practices, new drug development and health care financing process. It offers a lot of benefits such as early disease detection, fraud detection and better healthcare quality and efficiency. This paper introduces the Big Data concept and characteristics, health care data and some major issues of Big Data. These issues include Big Data benefits, its applications and opportunities in medical areas and health care. Methods and technology progress about Big Data are presented in this study. Big Data challenges in medical applications and health care are also discussed.

Current Research in Medicine
Volume 6 No. 1, 2015, 1-8


Submitted On: 31 March 2015 Published On: 15 May 2015

How to Cite: Wang, L. & Alexander, C. A. (2015). Big Data in Medical Applications and Health Care. Current Research in Medicine, 6(1), 1-8.

  • 86 Citations



  • Big Data
  • Health Care
  • Medicine
  • Diagnosis
  • Tele-diagnosis
  • Privacy
  • Monitoring
  • Clinical Practice
  • Personalized Patient Care
  • Fraud Detection
  • E-Consultation
  • Big Data Analytics
  • Data Mining
  • Machine Learning
  • Hadoop
  • Smart Health
  • Information Security