BHPEC : Design of an efficient model for blockchain-based healthcare privacy enhancement in clinical settings
Rubana A. Khan, Bhavna Sharma, Nita M. Thakare · Journal of Information and Optimization Sciences · 2025
In the fast-changing health technology domain, the need for an improvement in privacy and efficiency in the clinical scenario has become very critical. Traditional blockchain models, revolutionary in themselves, have numerous limitations for healthcare applications in areas like nonoptimal energy efficiency, latency, compromised privacy levels, throughput limitations, inconsistent packet delivery, and jitter levels. This paper comes up with an innovative “Proof of Healthcare Privacy” consensus mechanism ( PoHP) and a low complexity Coot Optimization model that enhances the scalability of blockchains. This proposed model has been tested empirically at different clinical settings, which shows very impressive results with an increase in energy, efficiency, while reducing the delay and enhancing privacy levels. The model also increases the throughput, the packet delivery ratio and reducing jitter when compared to the blockchain methods available. The proposed model significantly enhances privacy and operational efficiencies in blockchain applications for healthcare.