Comparative Analysis of Blockchain Hashing Algorithms for Efficient Healthcare Monitoring Systems

Blockchain technology has emerged as a transformative solution for enhancing security, transparency, and data integrity in healthcare monitoring systems. Central to blockchain’s functionality are hashing algorithms, which ensure data immutability and secure transaction verification. This study presents a comparative analysis of various blockchain hashing algorithms, evaluating their efficiency, security features, computational complexity, and suitability for healthcare monitoring applications. By examining algorithms such as SHA-256, SHA-3, Blake2, and others, the research aims to identify the optimal hashing mechanism that balances performance with robust security requirements in healthcare contexts. The analysis considers factors including speed, resistance to cryptographic attacks, energy consumption, and scalability. Results highlight the trade-offs inherent in selecting hashing algorithms for healthcare monitoring, where real- time data processing and patient privacy are critical. This paper contributes to advancing blockchain adoption in healthcare by guiding the selection of hashing algorithms tailored to the unique demands of healthcare monitoring systems.