Ethereum Blockchain, AI, and Cloud Storage for Medical Reports

Abstract

- This study explores the application of blockchain technology in developing a secure medical record sharing
system for managing health data stored in the cloud. The aim of this paper is to collect, secure, and enable sharing of
medical records using the Ethereum blockchain, ensuring confidentiality and integrity while enabling efficient
exchange of medical information among healthcare professionals through patient-specific medical profiles. The paper
discusses the unique features of e-health and reviews the integration of Artificial Intelligence (AI), cloud computing
and blockchain technologies to enhance security in digital health. The synergistic relationship between these
technologies is examined, highlighting their combined potential for smarter and more secure applications. The project
utilized MetaMask, a digital wallet, to purchase and connect to the Ethereum blockchain for securing the health report
links and cloud storage to store the reports themselves. Moreover, Recurrent Neural Network (RNN) and Long-Short
Term Memory (LSTM) models were used to predict Ethereum blockchain transaction prices which provide insight to
the user on potential impacts of the system and market trends. The results show that the implementation of the
technologies is effective in healthcare data management where there is enhancement in decision making and security
issues