SECURE DATA WITH BLOCK CHAIN AND ARTIFICIAL INTELLIGENCE USING HEALTHCARE APPLICATION

Abstract

The rapid growth of digital healthcare systems has increased the need for secure, reliable, and intelligent data management solutions to protect sensitive patient information. Traditional healthcare data storage systems often face challenges such as data breaches, unauthorized access, poor interoperability, and lack of transparency in medical record management. To address these issues, this study proposes a secure healthcare framework that integrates Blockchain technology and Artificial Intelligence (AI) for efficient and secure healthcare applications. Blockchain provides a decentralized and tamper-resistant platform for storing electronic health records (EHRs), ensuring data integrity, transparency, and secure access control among patients, hospitals, doctors, and healthcare providers. Artificial Intelligence techniques are incorporated to support intelligent healthcare services such as disease prediction, patient monitoring, medical image analysis, and clinical decision-making. Smart contracts are used to automate authentication, data sharing permissions, and secure medical transactions while maintaining patient privacy. The proposed system enhances cybersecurity, prevents unauthorized data modification, improves interoperability between healthcare institutions, and enables efficient healthcare analytics using AI models. Experimental analysis demonstrates that the integration of blockchain and AI improves healthcare data security, operational efficiency, diagnostic accuracy, and trust in digital healthcare systems. This research highlights the potential of combining blockchain technology and artificial intelligence to develop secure, intelligent, and patient-centered healthcare applications for modern medical environments.