AI-Driven Blockchain Framework for Secure Healthcare Data Interchange

EasyChair Preprint 15884

Abstract

The healthcare industry faces significant
challenges in ensuring the secure and efficient interchange of
sensitive patient data. Traditional centralised systems are prone
to security breaches, unauthorized access, and inefficiencies,
making them unsuitable for modern healthcare demands. This
paper proposes an AI-driven blockchain framework that
combines blockchain's decentralization, immutability, and

transparency with AI-powered security mechanisms for real-
time threat detection and secure data exchange. The integration

of AI enhances anomaly detection, access control, and
encryption, ensuring a robust and scalable solution for
healthcare data management. The proposed framework
improves interoperability, privacy, and regulatory compliance
while mitigating security vulnerabilities. By leveraging AI and
blockchain, this model aims to establish a trustworthy and
efficient ecosystem for healthcare data interchange, fostering
innovation in digital healthcare solutions.

Keyphrases: AI-based anomaly detection, AI-blockchain integration, AI-driven security, Blockchain in healthcare, Cybersecurity in Healthcare, Decentralized Data Management, Healthcare data privacy, Interoperability in healthcare, Secure data interchange, smart contracts

@booklet{EasyChair:15884,
  author    = {Er. Radha Indoriya and Manan Chawla and Nitin Kumar},
  title     = {AI-Driven Blockchain Framework for Secure  Healthcare Data Interchange},
  howpublished = {EasyChair Preprint 15884},
  year      = {EasyChair, 2025}}