Blockchain-Integrated Privacy-Preserving Medical Insurance Claim Processing Using Homomorphic Encryption
Diya Mamoria, Harshit Jain, Aswani Kumar Cherukuri

TL;DR
This paper introduces a novel framework combining blockchain and homomorphic encryption to enhance privacy, security, and transparency in medical insurance claim processing, reducing risks and automating procedures.
Contribution
The study presents an innovative integration of blockchain and homomorphic encryption for privacy-preserving, transparent, and efficient medical claim management systems.
Findings
Enhanced privacy protection for patient data during claim processing
Automated claim adjudication using smart contracts
Reduced manual errors and fraud risk in claim workflows
Abstract
This research proposes a decentralized and cryptographically secure framework to address the most acute issues of privacy, data security, and protection in the ecosystem of medical insurance claim processing. The scope of this study focuses on enabling the management of insurance claims in a transparent, privacy-protecting manner while maintaining the efficiency and trust level needed by the patients, healthcare providers, and insurers. To accomplish this, the proposed system adds blockchain technology to provide an unchangeable, decentralized, and auditable claim transactions ledger which enhances overall claim-related processes and trust among all stakeholders. To protect critical patient information, the framework employs homomorphic encryption a modern form of cryptography to allow authorized insurance providers to perform necessary operations like claim adjudication and…
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Taxonomy
TopicsBlockchain Technology Applications and Security · Cryptography and Data Security · Privacy-Preserving Technologies in Data
