Session

Computer Science and Communication Engineering

Description

Integrating Artificial Intelligence (AI) and Blockchain technology offers transformative potential for healthcare by addressing challenges in data management, security, and operational efficiency. AI enhances diagnostic accuracy, enables personalized treatments, and supports predictive analytics, improving clinical decision-making and allowing healthcare professionals to focus more on patient care. Meanwhile, Blockchain ensures data integrity, transparency, and security through a decentralized and immutable health record ledger, reducing data breaches and fraud risks. Together, AI and Blockchain can lower operational costs, streamline healthcare processes, and improve patient outcomes by securely managing sensitive medical data. This paper examines their combined applications in electronic health records (EHRs), medical data sharing, clinical trials, and supply chain management. However, implementing these technologies presents challenges, including regulatory compliance, data privacy concerns, interoperability issues, and the need for large-scale infrastructure upgrades. Ultimately, integrating AI and Blockchain creates an opportunity to transform healthcare systems into more efficient, secure, and patient-centric ecosystems while fostering innovation and improving care quality.

Keywords:

Artificial Intelligence, Blockchain, Healthcare Systems, Data Security, Electronic Health Records, Predictive Analytics

Proceedings Editor

Edmond Hajrizi

ISBN

978-9951-982-15-3

Start Date

25-10-2024 9:00 AM

End Date

27-10-2024 6:00 PM

DOI

10.33107/ubt-ic.2024.406

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Oct 25th, 9:00 AM Oct 27th, 6:00 PM

Transforming Healthcare Systems Through the Integration of Artificial Intelligence and Blockchain

Integrating Artificial Intelligence (AI) and Blockchain technology offers transformative potential for healthcare by addressing challenges in data management, security, and operational efficiency. AI enhances diagnostic accuracy, enables personalized treatments, and supports predictive analytics, improving clinical decision-making and allowing healthcare professionals to focus more on patient care. Meanwhile, Blockchain ensures data integrity, transparency, and security through a decentralized and immutable health record ledger, reducing data breaches and fraud risks. Together, AI and Blockchain can lower operational costs, streamline healthcare processes, and improve patient outcomes by securely managing sensitive medical data. This paper examines their combined applications in electronic health records (EHRs), medical data sharing, clinical trials, and supply chain management. However, implementing these technologies presents challenges, including regulatory compliance, data privacy concerns, interoperability issues, and the need for large-scale infrastructure upgrades. Ultimately, integrating AI and Blockchain creates an opportunity to transform healthcare systems into more efficient, secure, and patient-centric ecosystems while fostering innovation and improving care quality.