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Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges pp 3–17Cite as

Big Data in Healthcare: Challenges and Promise

Part of the Smart Innovation, Systems and Technologies book series (SIST,volume 164)

Abstract

Recently, the growth of the clinical sector and the technologies used in combination with the healthcare sector has resulted in the massive growth of the data that is being produced. To handle, store, and analyze such massive amounts of data, big data techniques are being used in the healthcare sector. This article features the gigantic effects of big data on restorative partners, patients, doctors, pharmaceutical and therapeutic administrators, and healthcare backup plans, and furthermore audits the various difficulties that must be considered to get the best benefits from this big data and accessible applications.

Keywords

  • Big data in health care
  • Application of big data analysis
  • Intelligent healthcare management system
  • Applications of technology in health care

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References

  1. Liu, W.-K., Yen, C.-C.: Optimizing bus passenger complaint service through big data analysis: systematized analysis for improved public sector management. Sustainability 8, 1319 (2016). https://doi.org/10.3390/su8121319

    CrossRef  Google Scholar 

  2. Daki, H., El Hannani, A., Aqqal, A., Haidine, A., Dahbi, A.: Big Data management in smart grid: concepts, requirements and implementation. J. Big Data 4 (2017). https://doi.org/10.1186/s40537-017-0070-y

  3. Kasturi, E., Prasanna Devi, S., Vinu Kiran, S., Manivannan, S.: Airline route profitability analysis and optimization using BIG DATA analytics on aviation data sets under heuristic techniques. Proced. Comput. Sci. 87, 86–92 (2016)

    Google Scholar 

  4. Watson, R.J., Christensen, J.L.: Big data and student engagement among vulnerable youth: a review. Curr. Opin. Behav. Sci. 18, 23–27 (2017)

    CrossRef  Google Scholar 

  5. Institute for Health Technology Transformation: Transforming Healthcare through Big Data: Strategies for leveraging Big Data in the Healthcare Industry. New York (2013)

    Google Scholar 

  6. Raghupathi, W., Raghupathi, V.: Big data analytics in healthcare: promise and potential. Health Inf. Sci. Syst. 2, 3 (2014). https://doi.org/10.1186/2047-2501-2-3

    CrossRef  Google Scholar 

  7. https://searchdatamanagement.techtarget.com/definition/big-data

  8. https://www.techopedia.com/definition/27745/big-data

  9. Safa, B., Zoghlami, N., Abed, M., Tavares, J.: BIG DATA for healthcare: a survey. IEEE Access 7, 7397–7408 (2019). https://doi.org/10.1109/ACCESS.2018.2889180

    CrossRef  Google Scholar 

  10. Gandomi, A., Haider, M.: Beyond the hype: big data concepts, methods, and analytics. Int. J. Inf. Manag. 35(2), 137–144 (2015), ISSN 0268-4012

    Google Scholar 

  11. Bhadani, A., Jothimani, D.: Big data: challenges, opportunities, and realities (2016). https://doi.org/10.4018/978-1-5225-0182-4.ch001

  12. Belle, A., Thiagarajan, R., Soroushmehr, S.M.R., Fatemeh, N., Beard, A., Daniel, Najarian, K.: Review article big data analytics in healthcare (2015). https://doi.org/10.1155/2015/370194

  13. Alansari, Z., Soomro, S., Belgaum, R., Mohammad, Shamshirband, S.: The Rise of Internet of Things (IoT) in Big Healthcare Data: Review and Open Research Issues (2016)

    Google Scholar 

  14. Baldominos, A., Rada, F., Sáez, Y.: DataCare: big data analytics solution for intelligent healthcare management. Int. J. Interact. Multimed. Artif. Intell. 4, 13–20 (2017). https://doi.org/10.9781/ijimai.2017.03.002

    CrossRef  Google Scholar 

  15. Rajeshwari, D.: State of the Art of Big Data Analytics: A Survey (2015)

    Google Scholar 

  16. Andreu-Perez, J., Poon, C.C.Y., Merrifield, R.D., Wong, S.T.C., Yang, G.: Big data for health. IEEE J. Biomed. Health Inf. 19(4), 1193–1208 (2015). https://doi.org/10.1109/JBHI.2015.2450362

    CrossRef  Google Scholar 

  17. http://www.medaware.com/medaware-raises-8-million-in-series-a-funding-to-eradicate-catastrophic-prescription-errors/

  18. Jye Ling, Z., Tran Quoc, T., Fan, J., Koh, C.H., Gerald & Nguyen, T., Tan, C.S., Yip, W.L., James & Zhang, M.: GEMINI: An integrative healthcare analytics system (2014). PVLDB. 7. 1766-1771

    Google Scholar 

  19. Firouzi, F., Rahmani, A.M., Mankodiya, K., Badaroglu, M., Merrett, G., Wong, P., Farahani, B.: Internet-of-Things and big data for smarter healthcare: from device to architecture, applications and analytics. Future Gen. Comput. Syst. 78 (2017). https://doi.org/10.1016/j.future.2017.09.016

  20. Palanisamy, V., Thirunavukarasu, R.: Implications of big data analytics in developing healthcare frameworks—a review. J. King Saud Univ. Comput. Inf. Sci. (2017) ISSN 1319–1578

    Google Scholar 

  21. Khalifa, M., Zabani, I.: Utilizing health analytics in improving the performance of healthcare services: a case study on a tertiary care hospital. J. Infect. Public Health 9(6)

    Google Scholar 

  22. Chawla, N., Davis, D.: Bringing big data to personalized healthcare: a patient-centered framework. J. Gen. Internal Med. 28(suppl 3) (2013). https://doi.org/10.1007/s11606-013-2455-8

  23. Lee, C.H., Yoon, H.-J.: Medical Big data: promise and challenges. Kidney Res. Clin. Pract. 36, 3–11 (2017). https://doi.org/10.23876/j.krcp.2017.36.1.3

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Acknowledgements

We are grateful toward Dr. Longzhi Yang, Prof. Bharat S. Rawal, and Dr. Vijayakumar V. for giving us this opportunity as well as their guidance which led us to the correct path and their encouragement which kept us going, and most importantly their critiques due to which we could further improve our research work and also their advice due to which we could keep our work on schedule. Finally, we thank our parents for their support and encouragement throughout our study.

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Authors and Affiliations

  1. School of Computing Science and Engineering, VIT, Chennai, India

    Siddharth Kale, Harsh Tamakuwala & V. Vijayakumar

  2. Computer and Information Sciences, Northumbria University, Newcastle, UK

    Longzhi Yang

  3. IST Department, Penn State University, Pennsylvania, USA

    Bharat S. Rawal Kshatriya

Authors
  1. Siddharth Kale
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  2. Harsh Tamakuwala
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  3. V. Vijayakumar
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  4. Longzhi Yang
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  5. Bharat S. Rawal Kshatriya
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Corresponding author

Correspondence to Siddharth Kale .

Editor information

Editors and Affiliations

  1. School of Computing Science and Engineering, VIT, Chennai, India

    Prof. Dr. V. Vijayakumar

  2. School of Computing Science and Engineering, VIT, Chennai, India

    Dr. V. Neelanarayanan

  3. School of Computing and Engineering, University of Missouri-Kansas City, Kansas, MO, USA

    Dr. Praveen Rao

  4. Department of Computer Science, University of New Brunswick, Fredericton, NB, Canada

    Dr. Janet Light

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Kale, S., Tamakuwala, H., Vijayakumar, V., Yang, L., Rawal Kshatriya, B. (2020). Big Data in Healthcare: Challenges and Promise. In: Vijayakumar, V., Neelanarayanan, V., Rao, P., Light, J. (eds) Proceedings of 6th International Conference on Big Data and Cloud Computing Challenges. Smart Innovation, Systems and Technologies, vol 164. Springer, Singapore. https://doi.org/10.1007/978-981-32-9889-7_1

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