When it comes to healthcare management driven by the Internet of Things (IoT), a revolutionary solution for safe and effective cloud storage has emerged with the combination of blockchain and machine learning (ML). This article delves into the important issues surrounding the privacy, security, scalability, and real-time processing of data that are intrinsic to healthcare systems that use the Internet of Things. A hybrid framework is proposed, combining blockchain’s decentralized and tamper-proof architecture with ML’s capability for real-time anomaly detection and predictive analytics. The proposed solution ensures robust data security, enhances system scalability, and provides intelligent insights for improved healthcare delivery. Experimental evaluations demonstrate the effectiveness of the framework in mitigating cyber threats, ensuring data integrity, and optimizing performance in IoT healthcare environments. Blockchain and ML have the ability to revolutionise safe cloud storage, according to this research. This might lead to improvements in healthcare IoT systems.