ISSN: 2265-6294

INTEGRATING BLOCKCHAIN AND MACHINE LEARNING FOR ADVANCEMENTS IN THE HEALTHCARE INDUSTRY

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Dr. KISHOR KUMAR GAJULA,

Abstract

Examining the potential applications of blockchain technology in the medical field is the focus of this study. The healthcare business may use blockchain technology to keep an immutable record of the truth and protect patient privacy. Hyperledger, a decentralized platform that facilitates secure, transparent, and speedy transactions and provides users with access to healthcare data, was the first thing on which blockchain technology was created. This study proposes that blockchain technology be utilized to build a trustworthy and simple system for healthcare providers, pharmaceutical firms, health insurers, and patients to share and access medical records. With blockchain, no one, not even the healthcare provider, may see a patient's medical records without their express consent. The data is safeguarded in this way. Using the Hyperledger Fabric design, individuals can grant varied degrees of access to their data while still ensuring its security and privacy. Healthcare data trends can be identified, evaluated, and conclusions drawn using both blockchain technology and machine learning. Machine learning can be used to evaluate existing medical data and establish new bounds in real time by applying several algorithms to the data. This is analogous to the way in which blockchain technology can provide authenticated and protected information

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