AI-enabled medchain framework for secure healthcare data management

The rapid evolution of Internet of Things (IoT) technologies and wearable health monitoring devices has changed modern healthcare by enabling continuous remote patient monitoring and collecting real-time personal health records (PHRs). However, privacy, data breaches, authentication failures, and feature dimensionality in large-scale healthcare systems make secure and effective management of sensitive patient health information (PHI) more challenging. This study introduces an AI-powered MedChain system that uses blockchain, advanced cryptography, and smart IoT devices to protect sensitive healthcare data in transit, during classification, and at rest. The proposed system leverages secure consensus-based authentication to tailor protection strategies based on the sensitivity of patient data. This study presents an AI-enabled MedChain framework for the secure management of healthcare data, considering the aspects of sensitive-data classification, feature selection, Generative Adversarial Network (GAN)-based data augmentation, secure encryption, key management, authentication, and blockchain-based record management. The framework begins with C-score Min–Max normalization to preprocess and standardize healthcare records. A novel Fuzzy Intensive Support Scalar Vector Machine (FI-SSVM) computes the Absolute Confidential Feature Scaling Behavior Rate (AC-FSBR) to classify sensitive and non-sensitive data. To mitigate overfitting and high-dimensionality issues, the Spectral Sensitive Fit-Whale Optimization Algorithm (SSF-WOA) is employed for mutual feature selection. Furthermore, a Long Short-Term Memory Generative Adversarial Network (LSTM-GAN) is used to identify sensitive margins and accurately classify personalized health records. For secure storage and transmission, the system integrates with a dedicated blockchain network termed MedChain. Initially, it employs an Integrated Data Hash Indexing Policy (IDHIP) to manage sensitive records, followed by Multi-Parity Starvation Foldable Advanced Encryption Standard (MP-SFAES) for robust block-level encryption. Key management and consensus are governed by the Medi-Consensus Chain Link Policy Key Management (MC-CLPKM). The Metaverse-Master Proofing Registry Authentication Policy uses Secure Handover Mutual Peer-to-Peer (SHM-P2P) to verify identity and govern access. In managing and sharing sensitive healthcare records, AI-driven data classification, blockchain-based immutability, high-level cryptographic encryption, and decentralized design improve visibility, traceability, and efficiency. The proposed MedChain framework thus provides a comprehensive, scalable, and secure infrastructure for next-generation healthcare ecosystems.