Revolutionizing the Healthcare Industry in Nigeria: The Role of Internet of Things and Big Data Analytics

Oluigbo Ikenna V.¹ , Nwokonkwo Obi C.² , Ezeh Gloria N.³ , Ndukwe Ngoziobasi G.⁴

1. Department of Information Management Technology, Federal University of Technology Owerri, Imo State, Nigeria.
2. Department of Information Management Technology, Federal University of Technology Owerri, Imo State, Nigeria.
3. Department of Information Management Technology, Federal University of Technology Owerri, Imo State, Nigeria.
4. Department of Information Management Technology, Federal University of Technology Owerri, Imo State, Nigeria.

Correspondence should be addressed to: ikenna.oluigbo@futo.edu.ng.

Section:Research Paper, Product Type: Isroset-Journal
Vol.5 , Issue.6 , pp.1-12, Dec-2017

CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v5i6.112

Online published on Dec 31, 2017

Copyright © Oluigbo Ikenna V., Nwokonkwo Obi C., Ezeh Gloria N., Ndukwe Ngoziobasi G. . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
The impact of Internet of Things (IoT) and big data cannot be overemphasized. The aim of this research is to propose a research model for predicting the role of data analytics and Internet of Things in revolutionizing the healthcare industry in Nigeria, and thereafter assess the impact of proposed IoT and big data analytics model to the healthcare sector of Nigerian economy. This study used a quantitative research approach and an analytical field survey, considering five federal medical centers across the country, as well as a number of IT experts and academician. In proposing a model for healthcare industry revolution through big data analytics and Internet of Things, six drivers was identified – Remote Sensing Technology, Cloud Computing, Big Data Center, Data Visualization, Standard User Interface and Display, and Wireless Network Gateways. The predicted model shows that all six drivers individually and collectively significantly influences healthcare industry revolution in Nigeria. In assessing the impact of the proposed model on the healthcare industry, the researcher identified five key operational and management areas. Based on the MANOVA result, the researcher concludes that the proposed model of IoT and big data analytics will have significant impact on healthcare industry in Nigeria if adopted. The researcher thus recommends that for a positive revolution of healthcare industry in Nigeria, the need for Internet of Things devices and technologies, as well as big data analytics is very paramount; Top management and relevant stakeholders should provide maximum support. The healthcare sector should also harness the various benefits of these recent technologies.

Key-Words / Index Term :
Big Data Analytics, Collaborative Disease Management, Healthcare Industry Revolution, Internet of Things, Remote Health Monitoring

References :
[1] R. Lopez “An Introduction to the Internet of Things (IoT): Part 1 of the IoT Series”, Lopez Research LLC 2269 Chestnut Street #202 San Francisco, CA 94123, pp. 1-6, November 2013.
[2] S. Vijayakannan “Transforming Healthcare through Internet of Things”, Project Management Practitioner’s Conference, Architecting Project Management: For Transforming Lives, Nimhans Convention Centre, Bangadore, pp. 1-26, November 2014.
[3] IERC “European Research Cluster on the Internet of Things”, Internet of Things - Pan European Research and Innovation Vision, pp. 1-10, October, 2011.
[4] T.H. Davenport “Analytics 3.0”, Harvard Business Review, pp. 68, December 2013
[5] Y.M. Thivaanraj, R. Vinothkumar “Internet of Things: Benefits and Risk of Smart Healthcare Application”, Journal of Information Systems Research and Innovation, Vol. 10, Issue 3, pp. 37-42, 2016
[6] R.H. Kim “Cure Performance and Effectiveness of Portable Smart Healthcare Wear System Using Electro-conductive Textiles”, Procedia Manufacturing, 3 (Ahfe), pp. 542–549, 2015
[7] R. Karen, E. Scott, C. Lyman “The Internet of Things: An Overview, Understanding the Issues and Challenges of a More Connected World”, Internet Society, Galerie Jean-Malbuisson, 15 CH-1204 Geneva, Switzerland, pp. 1-50, 2015
[8] E.A. Kosmatos, N.D. Tselikas, A.C. Boucouvalas “Integrating RFIDs and Smart Objects into a Unified Internet of Things Architecture. Advances in Internet of Things”, Scientific Research, Vol. 1, pp. 5-12, 2011
[9] H. Jun-Wei, Y. Shouyi, L. Leibo, Z. Zhen, W. Shaojun “A Crop Monitoring System Based on Wireless Sensor Network”, Procedia Environmental Sciences, Vol. 11, pp. 558– 565, 2011
[10] J. Healey, N. Pollard, B. Woods “The Healthcare Internet of Things: Rewards and Risks”, Atlantic council, Brent scowcroft center on International Security, Washington DC, pp. 1-18, 2015
[11] B. Hamilton “Big Data is the Future of Healthcare”, Cognizant 20-20 Insights, pp. 1-7, September 2012
[12] W. Lidong, A.A. Cheryl “Big Data in Medical Applications and Healthcare”, American Medical Journal, Vol. 6, Issue 1, pp. 1-8, 2015
[13] V. Sharma, N.K. Joshi “The Evolution of Big Data Security through Hadoop Incremental Security Model”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 4, Issue 5, pp. 3489-3493, 2015
[14] R. Hermon, P.A.H Williams “Big Data in Healthcare: What is it used for?” Originally published in the Proceedings of the 3rd Australian eHealth Informatics and Security Conference. Held on the 1-3 December, 2014 at Edith Cowan University, Joondalup Campus, Perth, Western Australia, pp. 40-49, 2014
[15] D. Niewolny “How the Internet of Things Is Revolutionizing Healthcare”, White paper on freescale Semiconductors, pp. 1-8, 2013
[16] P. Zhibo “Technologies and Architectures of the Internet of Things (IoT) for Health and Well-being”, Doctoral Thesis, KTH – Royal Institute of Technology Stockholm, Sweden, pp. 1-75, 2013
[17] K. Alok, S. Sampada “Healthcare applications of the Internet of Things: A Review”, International Journal of Computer Science and Information Technologies (IJCSIT), Vol. 5, Issue 5, pp. 6229-6232, 2014
[18] K. Pahlavan, P. Krishnamurthy, A. Hatami, M. Ylianttila, J.P. Makela, R. Pichna, J. Vallstron “Handoff in Hybrid Mobile Data Networks”, Mobile and Wireless Communication Summit, Vol. 7, pp. 43-47, 2007
[19] EY “Big Data: Changing the Way Businesses Compete and Operates”, Insight on Governance, Risks and Compliance, EYGMLimited, 2014
[20] K. Priyanka, N. Kulennavar “A survey on big data analytics in health care”, International Journal of Computer Science and Information Technologies, Vol. 5, pp. 5865-5868, 2014
[21] N.P. Terry “Protecting patient privacy in the age of big data”, UMKC Law Review, Vol. 81, pp. 385-415, 2013
[22] I.V. Oluigbo, B.C. Asiegbu, G.N. Ezeh, O.C. Nwokonkwo “Group Membership Prediction of an Outsourced Software Project: A Discriminant Function Analysis Approach”, International Journal of Scientific Research in Multidisciplinary Studies, Vol. 3, Issue 4, pp. 12-18, 2017