The Integration of AI and Blockchain in Healthcare: Ensuring Data Security and Integrity

Abstract

AI and blockchain in the healthcare sector are slowly emerging as a modern and innovative approach towards the achievement of secure and accurate data management, as well as effective process optimization. AI has the ability to work with big data to help get insights into large sets of medical data; on the other hand, blockchain provides a decentralized place to store this data securely. While progression in healthcare management has been led by an emphasis on digitization, risks arising from privacy violations, endeavor to manipulate contents of the records for malevolent purposes and gaining access to patients’ information also escalate. AI, when combined with blockchain, does this by ensuring that data across the different facilities is shared securely and that patients can be monitored in real-time without the risk of information manipulation or forgery. In this paper, the research considers the advantages of applying Artificial Intelligence and Blockchain technology in the healthcare sector; data security, patient privacy, and healthcare systems. It also discusses AI and Blockchain’s current use cases, theoretical frameworks, and future in this area of application. Furthermore, the integration of AI and Blockchain through various pictorial representations of the origin process also sets the workflow diagram micrograph structure. Some of the technical, ethical, and regulatory issues involved in this integration will also be explained, and suggestions will be provided. Finally, this paper makes the following policy implications for the various stakeholders namely the healthcare providers, policy makers and the technology developers.

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