Year: 2024
Type: article
Abstract: The integration of blockchain and artificial intelligence (AI) technologies offers a transformative approach to data integration in smart healthcare systems. As healthcare systems generate vast amounts of sensitive and complex data, efficient and secure integration is critical to improving patient outcomes, optimizing medical workflows, and ensuring data privacy. Blockchain technology provides a decentralized and immutable data-sharing platform that ensures the security, integrity, and privacy of medical records. Concurrently, AI plays a pivotal role in processing and analyzing these vast datasets to derive meaningful insights, automate diagnostics, and predict patient outcomes. This paper proposes an advanced data integration framework for smart healthcare systems by leveraging the strengths of both blockchain and AI technologies. The blockchain component ensures secure and transparent data exchange between healthcare providers, patients, and researchers, while AI algorithms are employed to process the integrated data for predictive analysis, diagnostics, and personalized treatment recommendations. Through a review of current approaches to data integration and an exploration of emerging technologies, this paper demonstrates how blockchain and AI can be combined to address challenges related to healthcare data privacy, interoperability, and efficiency. The proposed framework offers a comprehensive solution to advancing smart healthcare systems through secure data integration and intelligent decision-making.
Author: Selvaprasanth, P.
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7026302589