Blockchain-Enhanced AI Diagnostics in Healthcare

Abstract

The integration of advanced diagnostic systems and Blockchain technology offers a transformative opportunity to revolutionize healthcare by improving accuracy, enhancing data security, and enabling efficient, patient-centric care. Intelligent diagnostic systems have shown significant potential in analysing complex medical data, detecting patterns, and facilitating faster, more precise diagnoses. However, challenges related to the privacy, security, and interoperability of sensitive healthcare data continue to hinder widespread adoption of innovative technologies in healthcare. In this context, Blockchain technology provides a decentralized, transparent, and tamper-resistant solution for secure data sharing and management. This paper explores how Blockchain can enhance healthcare diagnostic systems by ensuring the integrity, confidentiality, and traceability of medical records. By utilizing Blockchain's distributed nature, patient data can be securely shared across healthcare providers without compromising privacy, mitigating the risk of data breaches, and ensuring compliance with stringent regulatory frameworks. Blockchain enables the secure aggregation and analysis of healthcare data, leading to improved diagnostic accuracy and reduced medical errors. Additionally, Blockchain facilitates the use of smart contracts, automating healthcare processes such as insurance claims, treatment workflows, and compliance monitoring, further streamlining patient care. We examine the technical architecture of Blockchain-enabled healthcare systems, analyzing key benefits such as enhanced data integrity, real-time access to patient information, and decentralization of healthcare networks.

Ähnliche Arbeiten