Leveraging AI and Blockchain for Scalable and Secure Data Exchange in IoMT Healthcare Ecosystems
Nisha Rathore, Goldi Soni, Brijesh Khandelwal, Ramgopal Kashyap, Bhavani Prasad Kasaraneni, Rajit Nair
Abstract
This article suggests that blockchain and AI might overcome the key issues healthcare institutions have while handling IoMT data. This paper describes a three-step method: optimizing data, transferring data securely, and applying AI to make judgments. Filtering and compressing IoMT data make it simpler to store and transmit. Safe communication using blockchain technology ensures data privacy and security. AI-based decision-making gives healthcare practitioners real-time data insights using machine learning models. The recommended solution outperforms others in data integrity, security, scalability, fault tolerance, real-time processing, and power economy. With 99.99% data correctness and 100% security, the approach ensures IoMT data processing is trustworthy and secure. A 9/10 score indicates scalability, making it a suitable alternative for major healthcare networks. It utilizes less energy and reduces network traffic, making it ideal for resource-constrained situations. Blockchain and AI provide secure, adaptable, and effective IoMT data management, healthcare decision-making, and patient outcomes, according to the research.