Impact of big data in healthcare: A survey

As the volume of data generating is increasing day by day in this internet world, the term Big Data is becoming a very popular buzzword in today's market. Big Data is used in various sectors of the internet world. In this paper an effort is made to demonstrate that even the healthcare industries are stepping into Big Data pool to take all benefits from its various advanced tools and technologies. The paper presents the review of various research efforts made in healthcare domain using Big Data concepts and methodologies. The thought of Big Data can be used for better health planning. Its methodologies can be used for healthcare data analytics which helps in better decision making to increase the business value and customer interest and to provide eHealth services among various healthcare stakeholders by using messaging standards like Health Level?, Digital Imaging and Communications in Medicine (DICOM), Health Insurance Portability and Accountability (HIPAA), message broker etc. Big Data techniques can be applied to develop systems for the early diagnosis of disease, understand connection between HATS (HIV/AIDS Tuberculosis and Silicosis) and also to develop integrated data analytics platforms. After presenting these many positive progresses of Big Data on healthcare, the paper also presents the hurdles faced by healthcare systems in using Big Data technologies. Further the paper includes the list of various Big Data tools, few case studies, few applications which are worth implementing using Big Data in healthcare followed by the concluding remarks.

[1]  Bill McMullen,et al.  Big data, big data quality problem , 2015, 2015 IEEE International Conference on Big Data (Big Data).

[2]  W. Liu,et al.  Big Data as an e-Health Service , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[3]  Weider D. Yu,et al.  A Modeling Approach to Big Data Based Recommendation Engine in Modern Health Care Environment , 2015, 2015 IEEE 39th Annual Computer Software and Applications Conference.

[4]  Priyanka Sharma,et al.  Big data for better health planning , 2014, 2014 International Conference on Advances in Engineering & Technology Research (ICAETR - 2014).

[5]  Marios D. Dikaiakos,et al.  Intensive Care Window: Real-Time Monitoring and Analysis in the Intensive Care Environment , 2009, IEEE Transactions on Information Technology in Biomedicine.

[6]  Mohamed Batouche,et al.  Drug discovery for breast cancer based on big data analytics techniques , 2015, 2015 5th International Conference on Information & Communication Technology and Accessibility (ICTA).

[7]  Chris Morley,et al.  Open Babel: An open chemical toolbox , 2011, J. Cheminformatics.

[8]  Kayvan Najarian,et al.  Big Data Analytics in Healthcare , 2015, BioMed research international.

[9]  Melanie Swan,et al.  Philosophy of Big Data: Expanding the Human-Data Relation with Big Data Science Services , 2015, 2015 IEEE First International Conference on Big Data Computing Service and Applications.

[10]  Arthur J. Olson,et al.  AutoDock Vina: Improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading , 2009, J. Comput. Chem..