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Big Data in Healthcare: Technical Challenges and Opportunities

  • Ganesh M. KakandikarEmail author
  • Vilas M. Nandedkar
Chapter
  • 698 Downloads
Part of the Studies in Big Data book series (SBD, volume 66)

Abstract

Big data refers to the data generated in large volumes, with complexities, involving many parameters and their relevance. Every industry is going through transformation so as healthcare also. New diseases, new viruses are still challenges, whereas we successfully got escapes from many. The new ways of treatments based on research, new drugs, advancements in procedures, use of micro tools etc. has changed the healthcare sector to lot. Identification of diseases is more based on pathological tests than clinical practices. All these generates lot of data in healthcare sector also. So, in any sense health sector can’t do away with big data. The chapter discusses of big data, scope in healthcare, challenges of implementation, characteristics of data etc. in healthcare sector.

References

  1. 1.
    McAfee, Bryn Jolfsson, E., Davenport, T.H., Patil, D.J., Barton, D.: Big data: the management revolution. Harvard Bus. Rev. 90(10), 60–68 (2012)Google Scholar
  2. 2.
    Lynch, C.: Big data: how do your data grow? Nature 455(7209), 28–29 (2008)CrossRefGoogle Scholar
  3. 3.
    Jacobs, A.: The pathologies of big data. Commun. ACM 52(8), 36–44 (2009)CrossRefGoogle Scholar
  4. 4.
    Manyika, J., Chui, M., Brown, B., et al.: Big Data: The Next Frontier for Innovation, Competition, and Productivity. McKinsey Global Institute (2011)Google Scholar
  5. 5.
    Celi, L.A., Mark, R.G., Stone, D.J., Montgomery, R.A.: Big data in the intensive care unit: closing the data loop. Am. J. Respir. Crit. Care Med. 187(11), 1157–1160 (2013)CrossRefGoogle Scholar
  6. 6.
    Seibert, J.A.: Modalities and data acquisition. Practical Imaging Informatics, pp. 49–66. Springer, New York (2010)Google Scholar
  7. 7.
    Oyelade, J., Soyemi, J., Isewon, I., Obembe, O.: Bioinformatics, healthcare informatics and analytics: an imperative for improved healthcare system. Int. J. Appl. Inf. Syst. 8(5), 1–6 (2015)Google Scholar
  8. 8.
    Ristevski, B., Chen, M.: Big data analytics in medicine and healthcare. J. Integr. Bioinform. 1–5 (2018)Google Scholar
  9. 9.
    Viceconti, M., Hunter, P., Hose, R.: Big data, big knowledge: big data for personalized healthcare. IEEE J. Biomed. Health Inform. 19(12), 9–15 (2015)Google Scholar
  10. 10.
    Gu, D., Li, J., Li, X., Liang, C.: Visualizing the knowledge structure and evolution of big data research in healthcare informatics. Int. J. Med. Inform. 11, 22–32 (2017)Google Scholar
  11. 11.
    Kannampallil, T.G., Franklin, A., Cohen, T., Buchman, T.G.: Sub-optimal patterns of information use: a rational analysis of information seeking behaviour in critical care. Cognitive Informatics in Health and Biomedicine, pp. 389–408. Springer, London (2014)Google Scholar
  12. 12.
    Srinivasan, U., Arunasalam, B.: Leveraging big data analytics to reduce healthcare costs. IT Prof. 15(6), 21–28 (2013)Google Scholar
  13. 13.
    Kuo, M.H., Sahama, T., Kushniruk, A.W., Borycki, E.M., Grunwell, D.K.: Health big data analytics: current perspectives, challenges and potential solutions. Int. J. Big Data Intell. 1(1), 114–126Google Scholar
  14. 14.
    Sandryhaila, A., Moura, J.M.F.: Big data analysis with signal processing on graphs: representation and processing of massive data sets with irregular structure. IEEE Signal Process. Mag. 31(5), 80–90 (2014)CrossRefGoogle Scholar
  15. 15.
    Bains, J.K.: Big data analytics in healthcare-its benefits, phases and challenges. Int. J. Adv. Res. Comput. Sci. Softw. Eng. 6(4), 430–434.5567 (2016)Google Scholar
  16. 16.
    Agrawal, D., et al.: Challenges and opportunities with big data. In: Big Data White Paper-Computing Research Association, February 2012. https://cra.org/ccc/docs/init/bigdatawhitepaper.pdf
  17. 17.
    Fatt, Q.K., Ramadas, A.: The usefulness and challenges of big data in healthcare. J. Healthc. Commun. 3(2:21), 1–4 (2018)Google Scholar
  18. 18.
    Acharjya, D.P., Kauser, A.P.: A survey on big data analytics: challenges, open research issues and tools. Int. J. Adv. Comput. Sci. Appl. 7(2), 511–518 (2016)Google Scholar
  19. 19.
    Kakhani, M.K., Kakhani, S., Biradar, S.R.: Research issues in big data analytics. Int. J. Appl. Innov. Eng. Manage. 2(8), 228–232 (2015)Google Scholar
  20. 20.
    Philip, C.L., Chen, Q., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inf. Sci. 275, 314–347 (2014)CrossRefGoogle Scholar
  21. 21.
    Kuo, M.H., Sahama, T., Kushniruk, A.W., Borycki, E.M., Grunwell, D.K.: Health big data analytics: current perspectives, challenges and potential solutions. Int. J. Big Data Intell. 1, 114–126 (2014)Google Scholar
  22. 22.
    Balamurugan, S., Madhukanth, R., Prabhakaran, V.M., Shanker, R.G.K.: Internet of health: applying IoT and Big data to manage healthcare systems. Int. Res. J. Eng. Technol. 3(10), 732–735 (2016)Google Scholar
  23. 23.
    Sonnati, R.: Improving healthcare using big data analytics. Int. J. Sci. Technol. Res. 6(3), 142–146 (2017)Google Scholar
  24. 24.
    Das, N., Das, L., Rautaray, S.S., Pandey, M.: Big data analytics for medical applications. Int. J. Modern Educ. Comput. Sci. 2, 35–42 (2018). Published Online February 2018Google Scholar
  25. 25.
    Chen, C.P., Zhang, C.Y.: Data-intensive applications, challenges, techniques and technologies: a survey on big data. Inform. Sci. 275, 314–347 (2014)Google Scholar
  26. 26.
    Althaf Rahaman, S., Sai Rajesh, K., Girija Rani, K.: Challenging tools on research issues in big data analytics. Int. J. Eng. Dev. Res. 6(1), 637–644 (2018)Google Scholar
  27. 27.
    Lynch, C.: Big data: how do your data grow? Nature 455, 28–29 (2008)CrossRefGoogle Scholar
  28. 28.
    Jin, X., Wah, B.W., Cheng, X., Wang, Y.: Significance and challenges or big data research. Big Data Res. 2(2), 59–64 (2015)CrossRefGoogle Scholar
  29. 29.
    Chang, B.R., Lee, Y.-D., Liao, P.-H.: Development of multiple big data analytics platforms with rapid response. Sci. Program. 2017, 1–13Google Scholar
  30. 30.
    Singh, D., Reddy, C.K.: A survey on platforms for big data analytics. J. Big Data 2(8) (2015)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.School of Mechanical EngineeringDr. V.D. Karad MIT World Peace UniversityPuneIndia
  2. 2.SGGS Institute of Engineering and TechnologyNandedIndia

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