Integration of Blockchain and Edge Computing in Healthcare: Accountability and Collaboration

Abstract

A decentralized, safe, and effective ecosystem is created in the healthcare industry through the integration of blockchain and edge computing. Secure data interchange, real-time analytics, enhanced privacy, and patient-centered treatment are all made possible. Realizing the full potential of integrating blockchain and edge computing for health care will need accountability and collaboration. It will make it possible to create reliable, secure, and cooperative healthcare organizations that will increase patient care, protect the confidentiality of information, and support cutting-edge applications for healthcare. Our Solution is to share data safely and cooperatively, improve patient confidentiality, and support healthcare data's ethical and accountable use. In this paper, we propose that combining blockchain technology with edge computing in healthcare is intended to improve accountability and teamwork. The methodologies used in integrating deep learning deploy various models on edge devices such as Q-Learning and Deep Q-Networks (DQN), SVM, etc. In conclusion, the application of edge computing and blockchain in the healthcare sector offers fascinating possibilities for cooperation and accountability. Healthcare systems may improve data security, privacy, interoperability, and real-time analytics by combining the advantages of the two technologies. The delivery of healthcare might change as a result of this integration, which could also foster cooperative research and eventually enhance patient outcomes.