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This framework demonstrates enhanced security for electronic health records using machine learning and blockchain technology, suggesting improved data integrity in healthcare.
Securing electronic health records (EHRs) is critical in the modern healthcare landscape, where digital transformation enhances connectivity and data-driven decision-making. This paper introduces a secure framework that integrates voice-based authentication, blockchain technology, and machine learning to protect EHRs, particularly in IoT-enabled, high-frequency wireless communication environments. The new distributed system utilizes blockchain technology to improve the security and integrity of medical records. User verification is achieved through voice authentication, which adds a biometric element as well. A working model was designed to show the system’s feasibility along with a case study on heart health monitoring. Simulated results demonstrated better block creation time, transaction latency, and validation accuracy.
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Pal et al. (2025) studied this question.
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