This paper addresses the challenges of secure data transmission and management in healthcare IoT systems, particularly focusing on the verification, identification, and authentication of Electronic Health Records (EHRs). The authors propose a hybrid cryptographic model that integrates Elliptic Curve Cryptography (ECC) and Proxy Re-encryption (PR) with an Enhanced Salp Swarm Algorithm (ESSA) to enhance the security and efficiency of healthcare IoT devices. The ESSA algorithm is designed to optimize the key size and parameters of the PR algorithm, ensuring secure and efficient data transmission. The proposed model is evaluated through extensive experiments, demonstrating significant improvements in processing time (reduced from 60 ms to 18 ms), reliability (25% to 3%), and communication cost (4260 bits) compared to traditional cryptographic algorithms. The results highlight the effectiveness of the hybrid model in securing healthcare data and improving the overall performance of healthcare IoT systems.This paper addresses the challenges of secure data transmission and management in healthcare IoT systems, particularly focusing on the verification, identification, and authentication of Electronic Health Records (EHRs). The authors propose a hybrid cryptographic model that integrates Elliptic Curve Cryptography (ECC) and Proxy Re-encryption (PR) with an Enhanced Salp Swarm Algorithm (ESSA) to enhance the security and efficiency of healthcare IoT devices. The ESSA algorithm is designed to optimize the key size and parameters of the PR algorithm, ensuring secure and efficient data transmission. The proposed model is evaluated through extensive experiments, demonstrating significant improvements in processing time (reduced from 60 ms to 18 ms), reliability (25% to 3%), and communication cost (4260 bits) compared to traditional cryptographic algorithms. The results highlight the effectiveness of the hybrid model in securing healthcare data and improving the overall performance of healthcare IoT systems.