Impregnable Healthcare Ecosystem Using Blockchain and Artificial Intelligence Approaches

Blockchain holds the potential to revolutionize health care. The ledger technology facilitates secure access and storage of electronic health records (EHRs). The proposed blockchain architecture coalesced with artificial intelligence (AI) and data obtained from the Internet of Things (IoT) provides a significant platform that can benefit the medical industry exceptionally. The data in blockchain can be viewed in a folder-file structure by the branched blockchain approach. Moreover, analytics dashboards are built on the prediction results of the AI models and the providers can envision the data interpreted in a comprehensive manner. Multiple attack predictions are computed after analyzing the EHR data stored in the blockchain. Hyperglycemia live prediction is implemented using a time-series model and random forest. Pulmonary infection classification is determined using visual geometry group-16 (VGG), convolutional neural network (CNN) model and heart attack prediction using K-nearest neighbor (KNN) binary classification. An accuracy of 93, 84 and 88 are obtained for the prediction of hyperglycemia, pulmonary and heart attack, respectively.