Securing Healthcare System with the Blockchain Technology

Authors

  • Adriena Lim Ken We’rn Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Intan Farahana Kasmin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Salmiah Amin Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia
  • Nur Khairunnisha Zainal Asia Pacific University of Technology & Innovation, Kuala Lumpur, Malaysia

DOI:

https://doi.org/10.69511/ijdsaa.v4i0.142

Keywords:

Blockchain technology, healthcare, COVID-19, cybersecurity

Abstract

 In the event of a cyberattack, it might cause care to be disrupted owing to software breakdowns. The inability of healthcare workers to deliver proper care may be hampered by the loss of access to health records. This proposal reviews previous studies and discusses what the current healthcare system looks like, blockchain technology, and other similar systems to understand what can be learned and drawn from. The aim of this research is to implement Blockchain Technology to the healthcare industry in Malaysia to enhance the cybersecurity of the healthcare system, thereby reducing the number of cyber-attacks in the healthcare sector. This study utilizes a quantitative methodology, with respondents chosen using complex probability stratified sampling method to gather data. Aside from that, this proposal describes how surveys and case study evaluations aid in the identification of various system specifications.

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Published

2023-06-17

How to Cite

Ken We’rn, A. L. ., Kasmin, I. F., Amin, S., & Zainal, N. K. (2023). Securing Healthcare System with the Blockchain Technology. International Journal of Data Science and Advanced Analytics, 4(2), 52–58. https://doi.org/10.69511/ijdsaa.v4i0.142

Issue

Vol. 4 No. 2 (2022)

Section

Articles

License

Copyright (c) 2022 Adriena Lim Ken We’rn, Intan Farahana Kasmin, Salmiah Amin, Nur Khairunnisha Zainal

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License
International Journal of Data Science and Advanced Analytics (IJDSAA) is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. This license allows users to copy, distribute and transmit an article, adapt the article as long as the author is attributed and the article is not used for commercial purposes.

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