Improving Healthcare: SECA-IoMT’s Robust Edge-to-Cloud Analytics and Enhanced Security Measures in Data Management

Maintaining high levels of dataset security in the healthcare system will be a challenge. Especially in healthcare, version 4.0, which is enabled with IoMT modules, has a data management system that is cloud-based technology, allowing researchers to investigate the factors affecting the security of datasets stored remotely. All health-related datasets will be stored in a cloud system to keep the patient in a periodic monitoring system. Hence, it is a notable factor in increasing data security and integrity of the healthcare management system. In this aspect, security should be maintained in all the stages, like sensing data from the nodal point, dataset aggregation, and storage. This paper introduces a novel blockchain-based healthcare data management system, Secure and Scalable Edge-to-Cloud Analytics for IoMT (SECA-IoMT). The hybrid AI architecture that combines on-device and cloud models achieves high accuracy in detecting anomalies (80–90%) and interpreting data (75–85%).