Secure E-Health Framework Using Artificial Intelligence and Blockchain Technology (SEHFUAIBC)

Abstract

There are a number of new technologies emerging in the healthcare sector that involve blockchain and artificial intelligence (AI). Data on healthcare indices are collected from the documents published on Web of Sciences and other Google surveys conducted by different governing bodies in order to collect information. The purpose of this review is to examine a wide range of aspects of blockchain and artificial intelligence, as well as how these two technologies can be integrated for the purpose of making a significant difference in healthcare by encouraging the implementation of generalizable analytical technologies that can be incorporated into more comprehensive risk management strategies. We have discussed in this article the different ways that blockchain can be used as an open network for the sharing of information and the authorization of it, which opens up multiple possibilities for building reliable artificial intelligence models for e-Health. A variety of proposed algorithms, as well as decision-making capability, as well as large quantities of data will be used by AI in order to help healthcare professionals access the medical records of patients on the blockchain. T¬¬his will lead to a generalized improvement in the efficiency of the medical system, a reduction in costs, and a level of democratization in the healthcare delivery system with the inclusion of the latest advances of these technologies. Cryptographic records are stored on blockchains, which are required by AI to store cryptographic information. Thus, the main aim of this article is to develop the secure e-health framework using artificial intelligence and blockchain technology called (SEHFUAIBC). The design science methodology (DSM) is used in this study. The developed SEHFUAIBC consists of seven components: advanced encryption algorithms, access control, multi-factor authentication, AI-based threat detection, blockchain-based data sharing, privacy protection, and audit trail. The developed SEHFUAIBC evaluated using real scenario. Based on the results of this study, it is evident that a combination of AI and blockchain in the framework produced by this study results in hybrid security techniques which hold the keys to protecting e-health records against unauthorized access.