[agents] Blockchain Paradigm for Healthcare: Performance Evaluation

Leila Fayez Ismail Leila at uaeu.ac.ae
Thu Mar 11 06:56:29 EST 2021


Dear Colleagues,
Sincere greetings,

[Apologies if you receive multiple copies of this posting]

I will be very happy to hear from you about our published paper:

Blockchain Paradigm for Healthcare: Performance Evaluation
https://www.mdpi.com/2073-8994/12/8/1200
Abstract
Electronic health records (EHRs) have become a popular method to store and manage patients' data in hospitals. Sharing these records makes the current healthcare data management system more accurate and cost-efficient. Currently, EHRs are stored using the client/server architecture by which each hospital retains the stewardship of the patients' data. The records of a patient are scattered among different hospitals using heterogeneous database servers. These limitations constitute a burden towards personalized healthcare when it comes to offering a cohesive view and a shared, secure and private access to patients' health history for multiple allied professionals and the patients. The data availability, privacy, and security characteristics of the blockchain have a propitious future in healthcare presenting solutions to the complexity, confidentiality, integrity, interoperability, and privacy issues of the current client/server architecture-based EHR management system. This paper analyzes and compares the performance of the blockchain and the client/server paradigms. The results reveal that notable performance can be achieved using blockchain in a patient-centric approach. In addition, the immutable and valid patients' data in the blockchain can aid allied health professionals in better prognosis and diagnosis support through machine learning and artificial intelligence.


Please do not hesitate to contact me with your comments.

Best regards,
Leila


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Leila Ismail, Ph.D.
Associate Professor, Dept. of Computer Science & Software Engineering
Founder and Head to Intelligent Distributed Computing & Systems Research Lab - INDUCE: Intelligent Clouds and Distributed Computing Systems
College of IT, UAE University
P.O.Box 15551, Al-Ain, UAE
Telephone: +971-3-7135530



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