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Big data for better Indian healthcare

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Abstract

Present healthcare breeds an immense amount of data with an exponentially growing rate. This data is not only voluminous but also complex in terms of the different formats because of the diverse sources of the data like Electronic Health Record, clinical data, streaming data from sensors, medical image data, biomedical signal data, laboratory data, etc., which have strained the capabilities of existing conventional relational database management systems. In such a scenario, big data solutions offer to harness these massive, heterogeneous and complex data sets to obtain more meaningful and knowledgeable information. To integrate and find the relationship among these unstructured types of data is a hot topic nowadays. Big data is the hope which can come to rescue in triumphing the insights from these oceanic quantities of data. Big data is a term which is expected to solve the problems of volume, velocity, and variety, mostly present in the healthcare data. This paper presents a new framework for implementing big data solutions in the healthcare sector, the potential opportunities and challenges are also discussed, particularly in the context of Indian healthcare.

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References

  1. Raghupathi W (2010) Data mining in health care. Healthc Inform Improv Effi Prod 211:100–223

    Google Scholar 

  2. Burghard C (2012) Big data and analytics: key to accountable care success. IDC Health Insights

  3. Hoover W (2013) Transforming health care through big data: strategies for leveraging big data in the health care industry. Institute for Health Technology Transformation, New York, pp 1–24

    Google Scholar 

  4. Frost and Sullivan (2012) Drowning in big data? Reducing information technology complexities and costs for healthcare organizations. Frost and Sullivan, San Antonio, pp 1–14

    Google Scholar 

  5. Bian J, Topaloglu U, Yu F (2012) Towards large-scale twitter mining for drug-related adverse events proceedings of the 2012 international workshop on Small Health and Wellbeing Maui, Hawaii

  6. Raghupathi W, Raghupathi V (2013) An overview of health analytics. Health Med Inf 4:1–11

    Google Scholar 

  7. Data analytics for healthcare: creating understanding from big data. Ikanow, pp 1–10. http://info.ikanow.com/Portals/163225/docs/data-analytics-for-healthcare.pdf. Accessed 18 Oct 2016

  8. (2013) Big data and healthcare payers. Knowledgent. pp 1–7. http://knowledgent.com/mediapage/insights/whitepaper/482. Accessed 18 Oct 2016

  9. Manyika J, Chui M, Brown B, Bughin J, Dobbs R, Roxburgh C, Byers AH (2011) Big data: the next frontier for innovation, competition, and productivity. Mckinsey & Company, New York, pp 1–4

    Google Scholar 

  10. Widmer A, Schaer R, Markonis D, Müller H (2014) Gesture interaction for content-based medical image retrieval. In: Proceedings of the 4th ACM International Conference on Multimedia Retrieval, pp 503–506

  11. http://www.who.int/gho/publications/world_health_statistics/2014/en/. Accessed 24 Aug 2018

  12. http://healthanalyticsindia.com/. Accessed 24 Aug 2016

  13. Gudwani A, Mitra P, Puri A, Vaidya M (2012) Indian healthcare: inspiring possibilities, challenging journey. Healthcare systems and services. Mckinsey & Company, New York, pp 1–34

    Google Scholar 

  14. Yamin M (2018) IT applications in healthcare management: a survey. Int J Inf Technol Springer 10(4):503–509

    Article  Google Scholar 

  15. Baloch Z, Shaikh FK, Unar ML (2018) A context-aware data fusion approach for health-IoT. Int J Inf Technol Springer 10(3):241–245

    Article  Google Scholar 

  16. Bairag V (2018) EEG signal analysis for early diagnosis of Alzheimer disease using spectral and wavelet-based features. Int J Inf Technol Springer 10(3):403–412

    Article  Google Scholar 

  17. Chakraborti S, Choudhary A, Singh A, Kumar R, Swetapadma A (2018) A machine learning based method to detect epilepsy. Int J Inf Technol Springer 10(3):257–263

    Article  Google Scholar 

  18. How big data has changed health care, Trevor Nath. http://www.investopedia.com/articles/investing/042815/how-big-data-has-changed-healthcare.asp. Accessed 18 Aug 2017

  19. Adrian G, Francisco GE, Marcela M, Baum A, Daniel L, Fernan GB (2013) MongoDB: an open source alternative for HL7-CDA clinical documents management. In: Proceedings of the Open Source International Conference (CISL’13), Buenos Aires, Argentina, pp 1–6

  20. Tomar D, Agarwal S (2015) A survey on data mining approaches for healthcare. Int J Bio-Sci Bio-Technol 5:241–266

    Article  Google Scholar 

  21. Kaur K, Rani R (2015) Managing data in healthcare information systems: many models, one solution. Computer 48:52–59

    Article  Google Scholar 

  22. Prasad S, Sha MS (2013) NextGen data persistence pattern in healthcare: polyglot persistence. In Proceedings of the 4th International Conference on Computing, Communications and Networking Technologies (ICCCNT’13), pp 1–8

  23. Sun I, Chandan K (2013) Big data analytics for healthcare. Proc. ACM. The 19th SIGKDD International Conference on Knowledge Discovery and Data Mining, p 1525

  24. Wiesner M, Daniel P (2014) Health recommender systems: concepts, requirements, technical basics, and challenges. Int J Environ Res Public Health 2:2580–2607

    Article  Google Scholar 

  25. Augustine A, Peter D (2014) Leveraging big data analytics and Hadoop in developing India’s healthcare services. Int J Comput Appl 89:44–50

    Google Scholar 

  26. Hunt P, Konar M, Junqueira F, Reed B (2010) ZooKeeper: wait-free coordination for internet-scale systems. Proc USENIX Ann Tech Conf 8:9–11

    Google Scholar 

  27. Apache Storm. http://storm.apache.orgl. Accessed 18 May 2018

  28. Ta VD, Liu VD, Nkabinde GW (2016) Big data stream computing in healthcare real-time analytics. In: IEEE international conference on cloud computing and big data analysis, pp 37–42

  29. Yu WD, Kollipara M, Penmetsa R, Elliadka S (2013) A distributed storage solution for cloud-based e-Healthcare Information System. In: Proceedings of the IEEE 15th international conference on e-health networking, applications and services (Healthcom’13) Lisbon, Portugal, pp 476–480

  30. Archenaa J, Anita EM (2015) A survey of big data analytics in healthcare and government. Proc Comput Sci 50:408–413

    Article  Google Scholar 

  31. Gupta S, Gupta R, Singla R (2017) Analysis of image enhancement techniques for astrocytoma MRI images. Int J Inf Technol Springer 9:311–319

    Article  Google Scholar 

  32. Munir MW, Shahid N, Omair SM, Munir G, Ul Haque MZ (2017) Comparative investigation of remote tracking devices for aging care. Int J Inf Technol Springer 9:261–266

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of Computer Engineering, Aligarh Muslim University, Aligarh, Uttar Pradesh, 202002, India

    Tawseef Ayoub Shaikh & Rashid Ali

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  1. Tawseef Ayoub Shaikh
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  2. Rashid Ali
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Correspondence to Tawseef Ayoub Shaikh.

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Shaikh, T.A., Ali, R. Big data for better Indian healthcare. Int. j. inf. tecnol. 11, 735–741 (2019). https://doi.org/10.1007/s41870-019-00342-6

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