Privacy-Preserving Auditability using AI-enabled Blockchain for Healthcare Registry

Authors

  • Dr. K. Rajesh Khanna, Gone Rushmitha, Vontela Chandu, Kandika Dikshitha

Keywords:

Keywords: Privacy preserving, Healthcare systems, Decentralized mechanism, Blockchain, Artificial Intelligence.

Abstract

This project presents a decentralized, privacy-preserving healthcare registry that leverages client-sideencryption and blockchain technology to secure sensitive patient and hospital data. Traditionalhealthcare systems rely on centralized databases that are vulnerable to single-point failures, insiderthreats, and large-scale data breaches, and they often lack immutable audit trails.

References

Gugueoth, V., Safavat, S., Shetty, S. & Rawat, D. A review of iot security and privacy using decentralized blockchain techniques. Comput. Sci. Rev. 50, 100585 (2023).

Peres, R., Schreier, M., Schweidel, D. A., & Sorescu, A. Blockchain meets marketing: Opportunities, threats, and avenues for future research (2023).

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Published

2025-04-12

How to Cite

Dr. K. Rajesh Khanna, Gone Rushmitha, Vontela Chandu, Kandika Dikshitha. (2025). Privacy-Preserving Auditability using AI-enabled Blockchain for Healthcare Registry. Journal of Computational Analysis and Applications (JoCAAA), 34(4), 198–209. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2297

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