A Post-Quantum Blockchain and Autonomous AI-Enabled Scheme for Secure Healthcare Information Exchange

Area of Science:

• Cybersecurity
• Health Informatics
• Artificial Intelligence

Background:

• Secure healthcare information exchange (HIE) is vital for medical services, interoperability, and patient privacy.
• Quantum computing poses a significant threat to conventional cryptographic methods used in HIE.
• Existing systems lack robust protection against emerging quantum threats.

Purpose of the Study:

• To propose a post-quantum secure healthcare data-sharing scheme.
• To ensure the integrity, authenticity, and traceability of electronic medical records (EMRs).
• To enhance clinical decision-making through AI-assisted diagnostic reporting.

Main Methods:

• Combining Extended Merkle Signature Scheme (XMSS) with consortium blockchain technology.
• Integrating autonomous artificial intelligence (AI) for diagnostic report generation.
• Theoretical security analysis in the random oracle model.

Main Results:

• The proposed scheme effectively resists various security threats.
• Demonstrated significant reductions in computational overheads (49%) and blockchain storage (36%).
• The system is well-suited for healthcare information exchange scenarios.

Conclusions:

• The developed scheme offers a robust, quantum-resistant solution for secure HIE.
• AI integration enhances diagnostic accuracy and clinical decision support.
• The scheme provides a practical and efficient approach to securing EMRs.