This paper presents a blockchain-based security solution for ensuring the integrity and provenance of medical device data in cloud environments. The authors, from various academic institutions, highlight the challenges of centralized systems in healthcare, such as single points of failure, data breaches, and manipulation, and propose a decentralized approach using blockchain technology. The solution integrates medical devices, cloud computing, and blockchain networks to create a secure and transparent data management system. Key features include: 1. **Decentralized Architecture**: Reduces the risk of single points of failure and enhances system stability and transparency. 2. **Immutability**: Ensures that once data is recorded on the blockchain, it cannot be altered, providing a verifiable and unchangeable record. 3. **Consensus Mechanisms**: Utilizes decentralized consensus algorithms like Proof-of-Work, Proof-of-Stake, or pBFT to validate transactions, ensuring secure and reliable data processing. 4. **Smart Contracts**: Automates data integrity checks, access control, and data sharing policies, enhancing efficiency and compliance with regulations. 5. **Data Storage Mechanisms**: Combines on-chain and off-chain storage solutions to ensure data resilience, integrity, and scalability. 6. **Access Control and Identity Management**: Ensures that only authorized stakeholders can access or modify data, adhering to HIPAA and GDPR regulations. 7. **User Interfaces and Applications**: Provides user-friendly interfaces for healthcare professionals, patients, and other entities to interact with the system. The proposed solution has been evaluated through performance tests, showing acceptable transaction throughput and latency even with large data volumes. Security testing confirmed the absence of critical vulnerabilities, and regulatory compliance testing demonstrated high levels of adherence to HIPAA and GDPR standards. The paper concludes by discussing future research directions, including performance optimization and further enhancements to address remaining challenges.This paper presents a blockchain-based security solution for ensuring the integrity and provenance of medical device data in cloud environments. The authors, from various academic institutions, highlight the challenges of centralized systems in healthcare, such as single points of failure, data breaches, and manipulation, and propose a decentralized approach using blockchain technology. The solution integrates medical devices, cloud computing, and blockchain networks to create a secure and transparent data management system. Key features include: 1. **Decentralized Architecture**: Reduces the risk of single points of failure and enhances system stability and transparency. 2. **Immutability**: Ensures that once data is recorded on the blockchain, it cannot be altered, providing a verifiable and unchangeable record. 3. **Consensus Mechanisms**: Utilizes decentralized consensus algorithms like Proof-of-Work, Proof-of-Stake, or pBFT to validate transactions, ensuring secure and reliable data processing. 4. **Smart Contracts**: Automates data integrity checks, access control, and data sharing policies, enhancing efficiency and compliance with regulations. 5. **Data Storage Mechanisms**: Combines on-chain and off-chain storage solutions to ensure data resilience, integrity, and scalability. 6. **Access Control and Identity Management**: Ensures that only authorized stakeholders can access or modify data, adhering to HIPAA and GDPR regulations. 7. **User Interfaces and Applications**: Provides user-friendly interfaces for healthcare professionals, patients, and other entities to interact with the system. The proposed solution has been evaluated through performance tests, showing acceptable transaction throughput and latency even with large data volumes. Security testing confirmed the absence of critical vulnerabilities, and regulatory compliance testing demonstrated high levels of adherence to HIPAA and GDPR standards. The paper concludes by discussing future research directions, including performance optimization and further enhancements to address remaining challenges.