The healthcare sector has seen a swift metamorphosis in the past few years, mostly due to the integration of cloud computing technologies, which have significantly enhanced productivity, accessibility, and data administration. However, as healthcare data is increasingly moving to the cloud, ensuring its security and privacy remains a critical concern. This paper explores the concept of decentralized cloud data security in the context of healthcare, emphasizing its advantages, challenges, and best practices (Amanat et al. in Blockchain and cloud computing-based secure electronic healthcare records storage and sharing, 2022 [1]). Decentralized methods can improve auditability, access control, and data security while preserving the scalability and availability needed for contemporary healthcare systems by utilizing blockchain technology. COVID-19’s latest plague has impacted HR and the economy, adding to pandemics and serious crises. Examination concerning the creation and spread of the affliction is widely required. The Web of Things distributed computing, and man-made reasoning deal with present-day innovation for the constant handling of various applications, for example, medical services applications, transport, traffic signals, etc. Blockchain is an advancing innovation that will emphatically support exchange assurance in finance, store networks, and other exchange organizations. The reason for this paper is to combine Mist processing and Man-made brainpower with shrewd well-being to lay out a dependable stage for beginning phase recognition of Coronavirus disease. Another get-together-based classifier is proposed to distinguish COVID-19 patients (Amanat et al. in Blockchain and cloud computing-based secure electronic healthcare records storage and sharing, 2022 [1]; Aslam et al. in Blockchain and ANFIS engaged IoMT application for protection safeguarded contact following in Coronavirus pandemic. Pers Ubiquit Comput, 2021 [2]). This assessment offers a blockchain stage to explore how the unessential occurrences of the COVID-19 disease can be followed and recognized using disseminated, time step, and the normal storing advantages of blockchain. As well as developing patient dependability, this would successfully improve the consistency, adaptability, efficiency, execution, and viability of medical care administrations. The possibility of blockchain is utilized to lay out security for the entire structure. Various executions measure the effectiveness of the recommended framework. The presentation of the proposed structure is assessed regarding delay, network uses, slam uses, and energy utilization. On the other hand, the classifier is surveyed concerning classifier precision, audit, exactness, static, and root mean square slip-up. The result shows the introduction of the proposed framework and classifier for each situation better contrasted with the standard designs and classifiers.