Securing Healthcare: A Fusion of AI and Blockchain for Medical Data Protection

Abstract

Today's digital environment places a high value on data, which includes intellectual property, private consumer information, and long-term corporate strategies. It is crucial to protect this priceless asset from the suspicious eyes of hackers. A complete strategy must be used to address the six major areas of governance, discovery, protection, compliance, detection, and reaction in order to accomplish comprehensive data security. The foundation for data security is laid by governance first and foremost, which calls for the creation of strong policies, data classification processes, an exhaustive list of all available data assets, and a sturdy infrastructure. The next crucial step in guaranteeing data safety is to identify the data's sources, whether they be databases, files, or network systems. Encryption, diligent key management, strict access control measures, and trustworthy data backup procedures must all be put into place in order to protect data efficiently from unauthorized access or breaches. A crucial aspect of compliance is the creation of accurate reports and the preservation of crucial documents. However, the modern cyberspace is a complicated maze of dispersed data, controlled by unrelated organizations lacking in mutual trust. It is difficult to enable safe data sharing and authentication over the internet due to this complex environment, especially when working with massive amounts of data and artificial intelligence systems. The combination of blockchain technology and artificial intelligence (AI) presents a strong solution to this problem. The effectiveness of using AI and blockchain to strengthen the security of medical data is examined in this article. We want to give end users a secure environment by utilizing these cutting-edge technologies, protecting the integrity and security of private medical data in a society that is becoming more linked.