Art. 05 – Vol. 28 – No. 1 – 2018

Using the Big Data and IoT  Technologies in
the Field of Healthcare

The National Institute for Research & Development of Informatics – ICI Bucharest,
8-10 Mareşal Averescu Blvd., 011455 Bucharest, Romania,

Abstract: This paper presents the main approaches of new IT technologies used in healthcare. These technologies refer to Big Data, Big Data Analytics (BDA) and Internet of Things (IoT). The new Big Data technologies can help physicians choose the correct and faster treatment, based on information collected by another healthcare professional. Patients can benefit from more appropriate
and on time treatment to be better informed about health care providers. The BDA addresses the challenges generated by: the increasing share of unstructured and multi-structured data generated by highly prolific and widespread data sources (such as social networks, sensor networks, the Internet of Things) and the growing gap in the amount of important data and the ability to process them in time for decision support. The Internet of Things (IoT) refers to the network of devices that consist of sensors that measure the environment, elements that send response reaction, processors that manage and store generated data, nodes that coordinate the management of these. IoT stands for smart home appliance applications and services, healthcare applications, and more. For the efficient processing of information generated by IoT infrastructures, it is essential to use the Big Data and BDA solutions in order to capitalize on their decisions in beneficiary communities. These solutions, BD and BDA, relate to capturing and analyzing data, examining and storing large volumes of data, and securing confidential data. The paper also includes authors’ suggestions on developing strategic measures / recommendations for using Big Data in Health domain.

Keywords: Big Data, Big Data Analytics, Internet of Things, Healthcare.

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Adriana ALEXANDRU, Dora COARDOŞ, Using the Big Data and IoT Technologies in the Field of Healthcare, Romanian Journal of Information Technology and Automatic Control, ISSN 1220-1758, vol. 28(1), pp. 61-84, 2018.


  1. ALEXANDRU, A. & COARDOȘ, D. (2016). Big Data in Health Care and Medical Applications in Romania. In 2016 IEEE International Conference on Automation, Quality and Testing, Robotics, THETA 20th edition, 19th -21st May,
    Cluj-Napoca, Romania (6 pages). Cluj- Napoca, Editura U.T. Press. ISBN: 978-606-737-160-4.
  2. ALEXANDRU, A. et al. (2017). Utilizarea tehnologiilor Big Data în sistemele informaţionale guvernamentale, Raport de cercetare etapa III: Impactul tehnologiilor Big Data pentru dezvoltarea sistemelor informaţionale guvernamentale, CS 143, ICI Bucureşti, Iunie 2017.
  3. ALEXANDRU, A. et al. (2017). Utilizarea tehnologiilor Big Data în sistemele informaţionale guvernamentale, Raport de cercetare etapa IV: Recomandări privind utilizarea tehnologiilor Big Data pentru dezvoltarea sistemelor informaţionale guvernamentale în România, CS 143, ICI Bucureşti, Noiembrie 2017.
  4. ALTMAN, R. B. (2013). Personal Genomic Measurements: The Opportunity for Information Integration, Clinical pharmacology and therapeutics, 93(1), 21-3.
  5. BALK, R. A. (2014). Systemic Inflammatory Response Syndrome (SIRS): where did it come from and is it still relevant today?, Virulence, 5(1), 20-6.
  6. BARRETT, M. A., HUMBLET, O., HIATT, R. A. & ADLER, N. E. (2013). Big Data and Disease Prevention: From Quantified Self to Quantified Communities, Big Data, 1(3), 168-75.
  7. BASU, R., ARCHER, N. & MUKHERJEE, B. (2012). Intelligent decision support in healthcare, Jan/Feb 2012. Available from: <
  1. BERNSTEIN, S. (2014). The US Big Data report and fully utilizing Big Data within healthcare, eHealth Law and Policy, 1(4).
  2. Council of The European Union (2015). Council conclusions on open, data-intensive and networked research as a driver for faster and wider innovation. Brussels.
  3. European Commission (2013). Report on the use of -omic technologies in the development of personalised medicine Brussels: European Commission.
  4. GEORGE, G., HAAS, M. R. & Pentland, A. (2014). Big Data and management, Academy of Management Journal, 57(2), 321-6.
  5. HARDY, T. (2016). Significant Benefits of Big Data Analytics In Healthcare Industry, Jan 12th, 2016. <>.
  6. HAY, S. I., GEORGE, D. B., MOYES, C. L. & BROWNSTEIN, J. S. (2013). Big Data Opportunities for Global Infectious Disease Surveillance, PLoS Medicine, 10(4), e1001413.
  7. IANCULESCU, M., ALEXANDRU, A. & GHEORGHE-MOISII, M. (2017). Harnessing The Potential Of Big Data In Romanian Healthcare, In Proceedings of The 5th International Symposium on Electrical and Electronics Engineering (ISEEE), 20 – 22 Oct 2017, Galați, România.
  8. IANCULESCU, M., ALEXANDRU, A. & TUDORA, E. (2017). Opportunities Brought by Big Data in Providing Silver Digital Patients with ICT-based Services That Support Independent Living and Lifelong Learning. In Proceedings of The Ninth International Conference on Ubiquitous and Future Networks, 4-7 July 2017, Milan (pp. 404-409).
  9. IBM (2012). The value of analytics in healthcare, IBM Global Business Services.
  10. ISLAM, S. M. R., KWAK, D., KABIR, H. M. D., HOSSAIN, M. & KWAK, K.-S. (2017). The Internet of Things for Health Care: A Comprehensive Survey. <http://>.
  11. MANYIKA, J., CHUI, M., BROWN, B., BUGHIN, J., DOBBS, R., ROXBURGH, C. & BYERS, A. H. (2011). Big Data: The next frontier for innovation, competition, and productivity.
  12. Ministry of Health Luxembourg (2015). Conference Report, High-level Conference Making Access to Personalised Medicine a Reality for Patients, Luxembourg, Cercle Cité: Ministry of Health Luxembourg.
  13. MURDOCH, T. B. & DETSKY, A. S. (2013). The inevitable application of Big Data to health care, JAMA, 309(13), 1351-2.
  14. OECD (2013). Exploring data-driven innovaiton as a new source of growth: Mapping the policy issues raised by „Big Data”, OECD Publishing.
  15. ONNELA, J.-P. (2015). Using Big Data to Improve Individual Health and Health Care Systems.
  16. Serviciile medicale sub impactul Big Data. <
  17. SREEKANTH, K. U. & NITHA K. P. (2016). A Study on Health Care in Internet of Things, International Journal on Recent and Innovation Trends in Computing and Communication, 4(2). Available from: <>.
  18. TIAN, W. & ZHAO, Y. (2015). Optimized Cloud Resource Management and Scheduling, Theory and Practice. Elsevier Inc.
  19. U.S. Department of Health & Human Services. What is Comparative Effectiveness Research. Available from: <>.

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