Applied Future of Big Data in Iraqi Healthcare Sector

Authors

  • Suhiar Mohammed Zeki
  • Prof. Abdul Monem Saleh Rahma Computer Science Department / University of Technology/ Baghdad.

Keywords:

Healthcare system, Big Data, Iraqi Healthcare system.

Abstract

Large data in the current period began to take up advanced space when they were generated regularly and when they increased their size in almost everything in addition, the human ability to understand, analyze and use technology has exacerbated the field of "large data." The proposed study aims to understand the issue of large data in the world of large data in the health sector in Iraq and to make a common thing between the world of health data and the world of health care and when combined together to form a wide health management application and has a wide area in health care and highlighting its benefits in terms of predicting epidemics, Health services in remote centers far from the center of the capital and improve the awareness of life and avoid the number of deaths and reduce the additional financial expenditures to reduce the burden on the Iraqi citizen. The aim of the study is to transform and adapt rapidly to provide treatment and medical service to the citizen and to study the decisions taken for these changes driven by data and strictly accurate and also aim to promote the issue of technology in the health care sector and emphasis on large data solutions seekingto harness this huge data to get more focused knowledge in the world of care and the overall goal is to respond to operational and clinical real-time to make informed and accurate decisions for the approach of medicine from descriptive and forecasting work to provide a health care service designed in Iraq.

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Published

2017-08-05

How to Cite

Zeki, S. M., & Rahma, P. A. M. S. (2017). Applied Future of Big Data in Iraqi Healthcare Sector. International Journal of Sciences: Basic and Applied Research (IJSBAR), 35(1), 252–259. Retrieved from https://www.gssrr.org/index.php/JournalOfBasicAndApplied/article/view/7851

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Articles