Blockchain-Driven Security, Privacy and Reliability for Digital Healthcare Systems

Abstract

With the integration of digital technologies in healthcare, several transformative advances have been made, including the management and sharing of patient data. Security, privacy, and system reliability are among the challenges presented by digitizing health data. Health data integrity, confidentiality, and reliability are all ensured by blockchain technology because of its decentralized, immutable nature. The purpose of this paper is to explore the potential of blockchain technology by using it to address medical imaging, diagnosis, and secure data sharing. Combining distributed ledger technology and cryptography can improve the security, privacy, and interoperability of healthcare systems. Using blockchain-driven AI models, the study illustrates how medical imaging applications can be significantly enhanced through secure, auditable, and transparent data-sharing practices, thus increasing stakeholder trust and substantially enhancing the scalability and reliability of AI-driven systems. By effectively combining blockchain's decentralized security features with advanced artificial intelligence techniques, diagnostic accuracy can be improved, patient care and clinical decision-making processes can be optimized, and strict regulatory compliance in medical imaging environments can be consistently maintained. This integrated approach also facilitates smoother collaboration among medical professionals.