Zero-Knowledge Process Verification: A Comprehensive Framework for a Distributed Healthcare System.

Area of Science:

• Computer Science
• Cryptography
• Health Informatics

Background:

• Healthcare systems require robust privacy preservation and regulatory compliance.
• Distributed systems introduce complexities in managing and verifying healthcare processes.
• Existing business process standards lack integrated cryptographic verification for privacy.

Purpose of the Study:

• To introduce the ZK-PRET Business Process Prover framework.
• To integrate Object Management Group (OMG) business process standards with zero-knowledge cryptographic verification.
• To enable privacy-preserving healthcare process compliance across distributed systems.

Main Methods:

• Developed a multilayer architecture combining formal business process modeling, zero-knowledge proof generation, and compliance verification.
• Extended OMG standards with cryptographic verification capabilities.
• Conducted implementation testing in synthetic healthcare data environments.

Main Results:

• Demonstrated practical applicability in diverse healthcare domains like treatment planning, telemedicine, and clinical trials.
• Achieved mathematical prevention of regulatory violations through cryptographic verification.
• Configurable privacy preservation and consistent proof sizes suitable for complex orchestrations.

Conclusions:

• Zero-knowledge healthcare process verification is foundational for regulatory compliance in distributed systems.
• ZK-PRET addresses challenges in verifiable process compliance for safer autonomous system deployment.
• The framework supports regulatory standards while enabling advancements in healthcare technology.