Open Access

ARTICLE

Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique

Asif Irshad Khan^1,*, Abdullah Saad Al-Malaise ALGhamdi², Fawaz Jaber Alsolami¹, Yoosef B. Abushark¹, Abdulmohsen Almalawi¹, Abdullah Marish Ali¹, Alka Agrawal³, Rajeev Kumar⁴, Raees Ahmad Khan³

1 Department of Computer Science, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
2 Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
3 Department of Information Technology, Babasaheb Bhimrao Ambedkar University, Lucknow, 226025, Uttar Pradesh, India
4 Department of Computer Applications, Shri Ramswaroop Memorial University, Barabanki, 225003, Uttar Pradesh, India

* Corresponding Author: Asif Irshad Khan. Email:

(This article belongs to the Special Issue: Big Data Security Using Artificial Intelligence-based Approaches)

Computers, Materials & Continua 2022, 70(2), 2835-2860. https://doi.org/10.32604/cmc.2022.020342

Received 20 May 2021; Accepted 21 June 2021; Issue published 27 September 2021

Abstract

The blockchain technology plays a significant role in the present era of information technology. In the last few years, this technology has been used effectively in several domains. It has already made significant differences in human life, as well as is intended to have noticeable impact in many other domains in the forthcoming years. The rapid growth in blockchain technology has created numerous new possibilities for use, especially for healthcare applications. The digital healthcare services require highly effective security methodologies that can integrate data security with the available management strategies. To test and understand this goal of security management in Saudi Arabian perspective, the authors performed a numerical analysis and simulation through a multi criteria decision making approach in this study. The authors adopted the fuzzy Analytical Hierarchy Process (AHP) for evaluating the effectiveness and then applied the fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique to simulate the validation of results. For eliciting highly corroborative and conclusive results, the study referred to a real time project of diabetes patients’ management application of Kingdom of Saudi Arabia (KSA). The results discussed in this paper are scientifically proven and validated through various analysis approaches. Hence the present study can be a credible basis for other similar endeavours being undertaken in the domain of blockchain research.

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Citations