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ISSN 2063-5346
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Challenges, Impact and Integration of Machine Learning and Blockchain Technology in The Smart Healthcare Developments

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Dr. Amiya Kumar Sahoo, Oluwadare Joshua OYEBODE, Kishor Kumar, Dr Shakti Bhushan, Manjul Singla, Amanpreet Kaur, Assistant Professor, Gulzar Group of Institutes, Kha A Kakoli Rao
» doi: 10.48047/ecb/2023.12.si7.125

Abstract

Over the past ten years, the growth of blockchain technology has been significant. Given as the basis for cryptographic forms of money like Bitcoin, it quickly found use in other fields thanks to its security and protection features. In the healthcare industry, blockchain has been used for a variety of tasks, including secure data logging, trades, and maintenance via smart contracts. To combine the greatest features of the two technological developments, incredible work has been done to make blockchain smart by integrating computerized reasoning (man-made intelligence). Undoubtedly one of the most important revelations and inventive developments that is significantly influencing the professional present is blockchain technology. Blockchain technology is actively pushing for change and disruption. This study aims to investigate the application of blockchain technology in smart healthcare, lay out a progressive hypothetical structure for smart healthcare, determine the influence of blockchain on smart healthcare, and then create a better application setup for smart healthcare under the blockchain based on partner hypothesis. However, such an advanced hypothetical system should consider not just the fundamental traits and the connections between various viewpoints and attributes, but also the various partners' functions

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