Title: Approaches and challenges to secure health data

Authors: Hossain Shahriar; Sweta Sneha; Patricia Whitley

Addresses: Department of Information Technology, Kennesaw State University, 1100 South Marietta Pkwy, Marietta, GA 30060, USA ' Department of Information Systems, Kennesaw State University, 1000 Chastain Road, Kennesaw, GA 30144, USA ' Department of Information Systems, 1000 Chastain Road, Kennesaw, GA 30144, USA

Abstract: The volume of health data being generated and stored is increasing massively. The growing number of data breaches is causing concern among patients and healthcare providers. Breach in security pertaining to health data will result in serious consequences for both patients and the providers. This critical piece of information is vital for cyber criminals to steal identity or make use of the information for malicious activities. This article discusses in detail the motivation of why healthcare data is of interests for attackers, followed by two common approaches to protect healthcare data which include blockchain and machine learning (ML). We discuss recent effort to protect healthcare data using blockchain and machine learning. Specific details are elucidated on how blockchain and ML can be game changers to secure health data and contribute positively to enhancing overall patient outcomes.

Keywords: EHR; data security; blockchain; machine learning; artificial intelligence.

DOI: 10.1504/IJMEI.2022.122281

International Journal of Medical Engineering and Informatics, 2022 Vol.14 No.3, pp.213 - 228

Received: 05 Dec 2019
Accepted: 08 Jul 2020
Published online: 19 Apr 2022 *

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