Affiliation:
1. National Institute of Technology, Puducherry, India
Abstract
The healthcare industry produces a huge volume of data that are sensitive and personal, making them a target for cyber-attacks. Many healthcare organizations use disparate systems that don't communicate effectively with each other which leads to fragmented health records, making it difficult to access comprehensive patient information. AI-driven automation streamlines health administration and financial tasks enhancing the overall operational efficiency of the healthcare ecosystem. In parallel, the healthcare industry faces critical challenges related to data security, interoperability, and patient privacy which can be addressed by establishing a decentralized and tamper-resistant ledger, blockchain, which ensures the integrity of healthcare records preventing unauthorized access. Smart contracts embedded within the blockchain enable secure, automated execution of predefined rules. Most of the data stored in the blockchain were left unused. To make use of them, a machine learning model can be built to predict or classify the disease and incorporated into the smart contract.