Secure e-health framework using artificial intelligence and blockchain technology

Abstract

This review explores emerging technologies in the healthcare sector, specifically focusing on blockchain and artificial intelligence (AI). Data on healthcare trends were gathered from documents published on the Web of Sciences and various Google surveys conducted by different governing bodies. The review aims to examine the potential of integrating blockchain and AI to enhance healthcare by promoting the use of generalizable analytical technologies that can be integrated into comprehensive risk management strategies. This article discusses how blockchain can be utilized as an open network for sharing and authorizing information, which creates opportunities for developing reliable AI models for e-health. AI, using various algorithms and decision-making capabilities, can help healthcare professionals access patient medical records stored on the blockchain. This integration is expected to improve the efficiency of the medical system, reduce costs, and democratize healthcare delivery by incorporating the latest technological advances. Cryptographic records stored on blockchains are essential for AI to securely manage information. The main goal of this article is to develop a secure e-health framework using AI and blockchain technology, referred to as SEHFUAIBC. The design science methodology (DSM) was used in this study. The SEHFUAIBC framework includes seven components: advanced encryption algorithms, access control, multi-factor authentication, AI-based threat detection, blockchain-based data sharing, privacy protection, and audit trail. The framework was evaluated using real-world scenarios, and the results show that the combination of AI and blockchain in this framework provides hybrid security techniques that are crucial for protecting e-health records from unauthorized access.