A Review on AI - Enhanced Security in Blockchain and Cloud-Based Electronic Healthcare Records Systems

The combination of Artificial Intelligence, Blockchain, and cloud computing have the potential to significantly improve the security and use of Electronic Healthcare Records (EHR) systems. This study looks into the future possibilities for AI-enhanced security and Predictive Analytics in Blockchain and Cloud-based EHR systems. Blockchain technology provides dependable solutions for data integrity, privacy, and safe sharing, whilst cloud platforms offer scalable and readily available infrastructure. AI improves these systems by providing improved threat identification, anomaly detection, and real-time automated responses, hence strengthening the security architecture. Furthermore, AI-powered Predictive Analytics in Cloud-based EHR systems enables early identification, personalized treatment, and improved patient outcomes. As the healthcare sector faces rising cyber dangers and data management challenges, merging these technologies is crucial to developing strong, efficient, and patient-centric EHR systems. However, combining AI with Blockchain presents ethical concerns, regulatory compliance hurdles, and the need for interoperable systems. This paper looks at current advancements and emerging developments in safe and predictive healthcare data management, such as quantum-resistant algorithms, federated learning, and AI-powered smart contracts. Continued research and innovation are necessary to fully fulfill these technologies potential for transforming healthcare delivery.