ABSTRACT
Cloud computing plays a significant role in executing, storing, and managing data as a third-party group. The key concern is data security and privacy with the defined classes of data before actually saving it to cloud storage. Issues related to medical data security and privacy require more studies to overcome the problems related to it. Medical records are maintained in medical organizations and research center’s databases. So due to security and privacy considerations, it is difficult to perform execution on the electronic health records (EHRs). Blockchain technology and the cloud system have independently proved their usability for handling the security issues of EHR. Also, the two technologies, namely, blockchain and machine learning, can be merged to improve analytical operations with security of various applications in healthcare industry. Blockchain is a highly secure and decentralized multi-computer networking platform, called nodes. Although machine learning algorithms perform better even with very less or no feature engineering, high risk factors are associated with EHR tasks. Blockchain also changes traditional healthcare practices to make them more reliable, allowing faster diagnosis and treatment by data exchange in a safe and secure way. In machine learning, expert systems are studied with a long background and performance in many fields. In this paper, the aim is to review various techniques for EHR security and privacy concerns on exchanging cloud medical data. This analysis offers an overview of new healthcare innovations and related applications focusing on blockchain, and highlights the potential of blockchain technology to revolutionize the healthcare sector.
