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Evaluating Challenges in Using Big Data in Healthcare

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Proceedings of Sixth International Congress on Information and Communication Technology

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 235))

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Abstract

Data in healthcare refers to large medical data collected from various sources comprising electronic health records (EHR), medical imaging, genomic ordering, pharmaceutical testing, wearables, and medical equipment. The way data is handled, evaluated, and leveraged in healthcare applications has already been affected by big data. The effective use of big data in the healthcare sector can prevail the ability to decrease medical expenses, forecast the outburst of an epidemic, circumvent preventable illnesses, and enhance the overall quality of life. Despite the enormous benefits, applying big data in the healthcare sector poses numerous challenges in terms of the nature of human interactions, healthcare applications, and large and complex data. This qualitative research is the first step of a larger research project that investigates various challenges associated with using big data in healthcare applications. The results of the present study will inform the next project phase in a future study to design and develop effective human interactions in healthcare big data applications. Data are collected from relevant existing literature and then analyzed through a thematic analysis. The coding criteria for such data analysis are those generic codes that are commonly used by similar studies and include technical challenges, administrative challenges, and security and privacy challenges.

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References

  1. Olaronke I, Oluwaseun O (2016) Big data in healthcare: prospects, challenges and resolutions. In: Future technologies conference (FTC), pp 1152–1157

    Google Scholar 

  2. Chen M, Mao S, Liu Y (2014) Big data: a survey. Mob Netw Appl 19(2):171–209

    Google Scholar 

  3. Belle A, Thiagarajan R, Soroushmehr SM, Navidi F, Beard DA, Najarian K (2015) Big data analytics in healthcare. In: Biomed research international

    Google Scholar 

  4. Ghotkar M, Rokde P (2016) Big data: how it is generated and its importance. IOSR J Comput Eng

    Google Scholar 

  5. Sivarajah U, Kamal MM, Irani Z, Weerakkody V (2017) Critical analysis of big data challenges and analytical methods. J Bus Res 70:263–286

    Article  Google Scholar 

  6. Jagadish HV, Gehrke J, Labrinidis A, Papakonstantinou Y, Patel JM, Ramakrishnan R, Shahabi C (2014) Big data and its technical challenges. Commun ACM 57(7):86–94

    Google Scholar 

  7. Kadadi A, Agrawal R, Nyamful C, Atiq R (2014) Challenges of data integration and interoperability in big data. In: International conference on big data (big data). IEEE, pp 38–40

    Google Scholar 

  8. Katal A, Wazid M, Goudar RH (2013) Big data: issues, challenges, tools and good practices. In: Sixth international conference on contemporary computing (IC3), pp 404–409

    Google Scholar 

  9. Khan N, Yaqoob I, Hashem IAT, Inayat Z, M Ali WK, Alam M, Shiraz M, Gani A (2014) Big data: survey, technologies, opportunities, and challenges. Sci World J

    Google Scholar 

  10. Kaisler S, Armour F, Espinosa JA, Money W (2013) Big data: Issues and challenges moving forward. In: 46th Hawaii international conference on system sciences. IEEE, pp 995–1004

    Google Scholar 

  11. Duggal PS, Paul S (2013) Big data analysis: challenges and solutions. In: International conference on cloud, big data and trust, vol 15, pp 269–276

    Google Scholar 

  12. Zhou Z, Chawla N, Jin Y, Willaims GJ (2014) Big data opportunities and challenges: discussions from data analytics perspectives. Comput Intell Mag IEEE 9(4):62–74

    Google Scholar 

  13. Fan J, Han F, Liu H (2014) Challenges of big data analysis. Natl Sci Rev 1(2):293–314

    Article  Google Scholar 

  14. Australian Institute of Health and Welfare (AIHW) (2019) Online. https://www.aihw.gov.au. Accessed 30 June 2020

  15. Australian Digital Health Agency (ADHA), Online. https://www.digitalhealth.gov.au. Accessed 30 June 2020

  16. Bates DW, Saria S, Ohno-Machado L, Shah A, Escobar G (2014) Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Aff 33(7):1123–1131

    Google Scholar 

  17. Viceconti M, Hunter P, Hose R (2015) Big data, big knowledge: big data for personalized healthcare. IEEE J Biomed Health Inf 19(4):1209–1215

    Google Scholar 

  18. Shobana V, Kumar N (2017) A personalized recommendation engine for prediction of disorders using big data analytics. In: International conference on innovations in green energy and healthcare technologies (IGEHT). IEEE, pp 1–4

    Google Scholar 

  19. Thara DK, Premasudha BG, Ram VR, Suma R (2016) Impact of big data in healthcare: a survey. In: 2nd international conference on contemporary computing and informatics. IEEE, pp 729–735

    Google Scholar 

  20. Schaeffer C, Booton L, Halleck J, Studeny J, Coustasse A (2017) Big data management in US hospitals: benefits and barriers. Health Care Manag 36(1):87–95

    Article  Google Scholar 

  21. Mathew PS, Pillai AS (2015) Big data solutions in healthcare: problems and perspectives. In: International conference on innovations in information, embedded and communication systems (ICIIECS). IEEE, pp 1–6

    Google Scholar 

  22. Sarkar BK (2017) Big data for secure healthcare system: a conceptual design. Complex Intell Syst 3(2):133–151

    Article  Google Scholar 

  23. Raghupathi W, Raghupathi V (2014) Big data analytics in healthcare: promise and potential. Health Inf Sci Syst 2(1):3–5

    Article  Google Scholar 

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

    Article  Google Scholar 

  25. Fatt QK, Ramadas A (2018) The usefulness and challenges of big data in healthcare. Health Commun 3(2):21

    Google Scholar 

  26. Martin EM, Skotnes T, Feldman B (2012) Big data in healthcare hype and hope. Dr Bonnie 360:122–125

    Google Scholar 

  27. Patil HK, Seshadri R (2014) Big data security and privacy issues in healthcare. International congress on big data, IEEE, pp 762–765

    Google Scholar 

  28. Kim MK, Park JH (2017) Identifying and prioritizing critical factors for promoting the implementation and usage of big data in healthcare. Inf Dev 33(3):257–269

    Article  Google Scholar 

  29. Kruse CS, Goswamy R, Raval YJ, Marawi S (2016) Challenges and opportunities of big data in health care: a systematic review. JMIR Med Inform 4(4):e38

    Google Scholar 

  30. Stylianou A, Talias MA (2017) Big data in healthcare: a discussion on the big challenges. Health Technol 7(1):97–107

    Article  Google Scholar 

  31. Asri H, Mousannif H, AI Moatassime H, Noel T (2015) Big data in healthcare: challenges and opportunities. In: International conference on cloud technologies and applications. IEEE, pp 1–7

    Google Scholar 

  32. Alexandru A, Coardos D (2016) Big data in healthcare and medical applications in Romania. In: Proceeding of the AQTR

    Google Scholar 

  33. Wang L, Alexander CA (2018) Big data and data-driven healthcare systems. J Bus Manag Sci 6(3):104–111

    Google Scholar 

  34. Costa FF (2014) Big data in biomedicine. Drug Discov Today 19(4):433–440

    Article  Google Scholar 

  35. Zhang X, Pérez-Stable EJ, Bourne PE, Peprah E, Duru OK, Breen N, Berrigan D et al (2017) Big data science: opportunities and challenges to address minority health and health disparities in the 21st century. Ethinicity Dis 27(2):95

    Google Scholar 

  36. Noonpakdee W, Phothichai A, Khunkornsiri T (2019) Challenges of big data implementation in a public hospital. In: 28th wireless and optical communications conference. IEEE, pp 1–5

    Google Scholar 

  37. Desai PV (2018) A survey on big data applications and challenges. In: Second international conference on inventive communication and computational technologies (ICICCT). IEEE, pp 737–74

    Google Scholar 

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Acknowledgments

The authors would like to thank Victoria University for supporting this publication, and Mr. Abhinav Sharma from Victoria University Sydney for his valuable assistance in this research project.

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Authors and Affiliations

  1. Victoria University, Sydney, Australia

    Rajip Raj, Farhad Daneshgar & Nazanin Borhan

Authors
  1. Rajip Raj
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  2. Farhad Daneshgar
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  3. Nazanin Borhan
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Corresponding author

Correspondence to Rajip Raj .

Editor information

Editors and Affiliations

  1. Middlesex University, London, UK

    Xin-She Yang

  2. University of Reading, Reading, UK

    Simon Sherratt

  3. JIS University, Kolkata, India

    Nilanjan Dey

  4. Global Knowledge Research Foundation, Ahmedabad, India

    Amit Joshi

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Raj, R., Daneshgar, F., Borhan, N. (2022). Evaluating Challenges in Using Big Data in Healthcare. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 235. Springer, Singapore. https://doi.org/10.1007/978-981-16-2377-6_8

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