Enhancing Healthcare Facility in Rural Areas Using Internet of Things (IoT)

Authors

  • Chiew Cae-Li School of Computing & Technology, Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author
  • Naresh Kumar Appadurai School of Computing & Technology, Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author
  • Kamalanathan Shanmugam School of Computing & Technology, Asia Pacific University of Technology and Innovation, Technology Park Malaysia, Bukit Jalil, Kuala Lumpur, Malaysia Author

DOI:

https://doi.org/10.61841/pb3srf03

Keywords:

Internet of Things (IoT), Wearable Sensor, Radio-frequency Identification (RFID), Healthcare, Patients, Technology, Pulse Oximeter, Local Positioning Sensor (LPS), Global Positioning System (GPS).

Abstract

 Internet of Things (IoT) in recent years, facilitates in revolutionizing the introduction, and acceptance of healthcare facilities in rural areas. IoT offers a more efficient way to access healthcare and at the same time better manages the cost of implementing it. The main usage of IoT in healthcare is monitoring patients’ health conditions without having being required to be physically present. As powerful as IoT may sound, it also comes with many security challenges as well as using energy efficiently. A number of research papers have proposed multiple ways of handling these challenges and the different types of sensors used in these IoT devices. After thorough research, a combined analysis of health data recorded in several countries have also been reviewed to aid in identifying the requirements of patients especially those in remote areas. The aim of this research is to give an insight on how IoT usage in healthcare is able to revolutionize the entire industry, moving on from its traditional ways of caring for patients. This research paper is a compilation of different viewpoints of IoT in healthcare from different papers, explaining in detail why and how IoT is used in this industry and the steps taken to mitigate the challenges faced 

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References

[1] Perrier, E., 2015. Positive Disruption: Healthcare, Ageing and Participation in the Age of Technology, s.l.:

The McKell Institute.

[2] Adams, D., 2011. The Internet of Things : How the Next Evolution of the Internet Is Changing Everything,

s.l.: s.n.

[3] Health Policy Institute, Georgetown University, n.d. Rural and Urban Health. [Online] Available at:

https://hpi.georgetown.edu/rural/[Accessed 30 4 2019].

[4] Niewolny, D., 2013. How the Internet of Things Is Revolutionizing Healthcare.

[5] Nguyen, H.H., 2017. A Review on IoT Healthcare Monitoring Applications and a Vision for Transforming

SensorData into Real-time Clinical Feedback.

[6] Alqahtani, F.H., 2018. The Application of the Internet of Things in Healthcare. pp. 19-23.

[7] Haghi, M., Thurow, K.D.H.I., Stoll, R. & Dr. Habil, M., 2017. Wearable Devices in Medical Internet of

Things: Scientific Research and Commercially Available Devices. PMC, pp. 4-15.

[8] Cicek, M., 2015. Wearable Technologies and its Future Applications.

[9] Malasinghe, L.P., Ramzan, N. & Dahal, K., 2019. Remote Patient Monitoring: A Comprehensive Study.

Springer Link.

[10] Spleen, A.M., Lengerich, E.J., Camacho, F.T. & Vanderpool, R.C., 2014. Health Care Avoidance Among

Rural Populations: Results From a Nationally Representative Survey.

[11] Sutton, J. & Austin, Z., 2015. Qualitatice Research: Data Collection, Analysis, and Management. NCBI.

[12] Yang, K. & Banamah, A., 2014. Quota Sampling as an Alternative to Probablity Sampling? An

Experimental Study. Sociological Research Online.

[13] Stephanie, 2015. Quota Sampling: Definitions and Examples. [Online] Available at:

https://www.statisticshowto.datasciencecentral.com/quota-sampling/[Accessed 30 4 2019].

[14] DeFranzo, S.E., 2014. Advantages and Disadvantafes of Face-to-Face Data Collection. [Online] Available

at: https://www.snapsurveys.com/blog/advantages-disadvantages-facetoface-data-collection/ [Accessed 30

4 2019].

[15] Debois, S., 2019. 10 Advantages and Disadvantages of Questionnaires (Updated 2019). [Online] Available

at: https://surveyanyplace.com/questionnaire-pros-and-cons/ [Accessed 1 5 2019].

[16] Stephens, C., 2017. Pulse Oximetry. [Online] Available at: https://www.healthline.com/health/pulseoximetry [Accessed 30 4 2019].

[17] Hasan, H.S., Hussein, M., Mad Saad, S. & Mat Dzahir, M.A., 2018. An Overview of Local Positioning

System: Technologies, Techniques and Applications.

[18] Kamel Boulos, M.N. & Berry, G., 2012. Real-Time Locating Systems (RTLS) in Healthcare: A Condensed

Primer.

[19] Koo, S. et al., 2018. Real-Time Location System-Based Asset Tracking in the Healthcare Field: Lessons

Learmed from a Feasibility Study. [Online] Available at: https://www.ncbi.nlm.nih.gov/pmc/

articles/PMC6131815/

[20] P. Mary Jeyanthi, Santosh Shrivastava Kumar “The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region”, Theoretical Economics Letters, 2019, 9, 752-760, ISSN

Online: 2162-2086, DOI: 10.4236/tel.2019.94049, which is in B category of ABDC

List. https://www.scirp.org/journal/Home.aspx?IssueID=12251

[21] P. Mary Jeyanthi, “An Empirical Study of Fraudulent and Bankruptcy in Indian Banking Sectors”, The

Empirical Economics Letters, Vol.18; No. 3, March 2019, ISSN: 1681-8997, which is in C category of

ABDC List. http://www.eel.my100megs.com/volume-18-number-3.htm

[22] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Hybrid Metaheuristic techniques”, International

Journal of Business Intelligence Research, - Volume 5, Issue 1, April-2014. URL: https://dl.acm.org/

citation.cfm?id=2628938; DOI: 10.4018/ijbir.2014010105, which is in C category of ABDC List.

[23] P. Mary Jeyanthi, “INDUSTRY 4.O: The combination of the Internet of Things (IoT) and the Internet of

People (IoP)”, Journal of Contemporary Research in Management, Vol.13; No. 4 Oct-Dec, 2018, ISSN:

0973-9785.

[24] P. Mary Jeyanthi, "The transformation of Social media information systems leads to Global business: An

Empirical Survey", International Journal of Technology and Science (IJTS), issue 3, volume 5, ISSN

Online: 2350-1111 (Online). URL: http://www.i3cpublications.org/M-IJTS-061801.pdf

[25] P. Mary Jeyanthi,” An Empirical Study of Fraud Control Techniques using Business Intelligence in

Financial Institutions”, Vivekananda Journal of Research Vol. 7, Special Issue 1, May 2018, ISSN 2319-

8702(Print), ISSN 2456-7574(Online). URL: http://vips.edu/wp-content/uploads/2016/09/Special-IssueVJR-conference-2018.pdf Page no: 159-164.

[26] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Artificial bear Optimization Approach”,

International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013.

URL: https://www.ijser.org/onlineResearchPaperViewer.aspx?Business-Intelligence-Artificial-BearOptimization-Ap-proach.pdf

[27] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Optimization techniques for Decision

Making”, International Journal of Engineering Research and Technology, Volume 2, Issue 8, August-

2013. URL: https://www.ijert.org/browse/volume-2-2013/august-2013-edition?start=140

[28] Mary Jeyanthi, S and Karnan, M.: “A New Implementation of Mathematical Models with metaheuristic

Algorithms for Business Intelligence”, International Journal of Advanced Research in Computer and

Communication Engineering, Volume 3, Issue 3, March-2014. URL: https://ijarcce.com/wpcontent/uploads/2012/03/IJARCCE7F-a-mary-prem-A-NEW-IMPLEMENTATION.pdf

[29] Dr. Mary Jeyanthi: “Partial Image Retrieval Systems in Luminance and Color Invariants: An Empirical

Study”, International Journal of Web Technology (ISSN: 2278-2389) – Volume-4, Issue-2.

URL: http://www.hindex.org/2015/p1258.pdf

[30] Dr. Mary Jeyanthi: “CipherText Policy attribute-based Encryption for Patients Health Information in Cloud

Platform”, Journal of Information Science and Engineering (ISSN: 1016-2364)

[31] Mary Jeyanthi, P, Adarsh Sharma, Purva Verma: “Sustainability of the business and employment

generation in the field of UPVC widows” (ICSMS2019).

[32] Mary Jeyanthi, P: “An Empirical Survey of Sustainability in Social Media and Information Systems across

emerging countries”, International Conference on Sustainability Management and Strategy”

(ICSMS2018).

[33] Mary Jeyanthi, P: “Agile Analytics in Business Decision Making: An Empirical Study”, International

Conference on Business Management and Information Systems” (ICBMIS2015).

[34] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence – soft computing Techniques”, International

Conference on Mathematics in Engineering & Business Management (ICMEB 2012).

[35] Mary Jeyanthi, S and Karnan, M.: “A Comparative Study of Genetic algorithm and Artificial Bear

Optimization algorithm in Business Intelligence”, International Conference on Mathematics in Engineering

& Business Management (ICMEB 2012).

[36] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Optimization for Decision

Making”, 2011 IEEE International Conference on Computational Intelligence and Computing Research

(2011 IEEE ICCIC).

[37] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Decision making to overcome

the Financial Risk”, 2011 IEEE International Conference on Computational Intelligence and Computing

Research (2011 IEEE ICCIC).

[38] Dr. Mary Jeyanthi, S: “Pervasive Computing in Business Intelligence”, State level seminar on Computing

and Communication Technologies. (SCCT-2015).

[39] Dr.P. Mary Jeyanthi, “Artificial Bear Optimization (ABO) – A new approach of Metaheuristic algorithm

for Business Intelligence”, ISBN no: 978-93-87862-65-4, Bonfring Publication. Issue Date: 01-Apr-2019

[40] Dr.P. Mary Jeyanthi, “Customer Value Management (CVM) – Thinking Inside the box” – ISBN: 978-93-

87862-94-4, Bonfring Publication, Issue Date: 16-Oct-2019.

[41] Jeyanthi, P.M., & Shrivastava, S.K. (2019). The Determinant Parameters of Knowledge Transfer among

Academicians in Colleges of Chennai Region. Theoretical Economics Letters, 9(4), 752-760.

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Published

31.10.2019

How to Cite

Cae-Li, C., Kumar Appadurai, N., & Shanmugam, K. (2019). Enhancing Healthcare Facility in Rural Areas Using Internet of Things (IoT). International Journal of Psychosocial Rehabilitation, 23(4), 1414-1423. https://doi.org/10.61841/pb3srf03