Block-chain and AI in Healthcare Data Security: Creating a Secure Medical Ecosystem

Abstract

This study investigates the integration of blockchain technology and artificial intelligence (AI) in healthcare data security systems. The research, conducted from 2022 to 2024, demonstrates significant improvements in medical data protection through the implementation of a comprehensive security solution. The study analyzed data from multiple healthcare institutions and included interviews with 45 industry experts. Key findings show a 94.3% reduction in unauthorized access attempts and 96.8% accuracy in identifying suspicious activities. The developed system achieved compliance with major international healthcare data protection regulations, including HIPAA and GDPR, while maintaining high performance with an average transaction processing speed of 0.8 seconds. The solution demonstrated 95% compatibility with existing medical information systems and resulted in a 47% reduction in security-related expenses during the first year of operation. This research contributes to the evolving field of healthcare cybersecurity by providing empirical evidence of the effectiveness in protecting sensitive medical data.

Ähnliche Arbeiten