Abstract

Artificial intelligence (AI) and blockchain (BC) technologies have emerged as powerful tools in revolutionizing data access authorization in telehealth applications. This chapter explores the integrations of AI and BC and their implications for secure and transparent data access in telehealth. Through real-life case studies, the benefits and applications of AI-driven access authorization mechanisms and BC-enabled data storage and verification can be analyzed. The integration of AI in telehealth systems enables advanced data analysis, interpretation, and decision-making. AI algorithms can process vast amounts of patient data, providing accurate diagnoses, personalized treatment recommendations, and valuable insights. This integration enhances the efficiency and effectiveness of healthcare processes, leading to improved patient care outcomes. With its decentralized and immutable nature, BC technology ensures data integrity, privacy, and transparency. By leveraging BC, telehealth systems can establish trust and accountability in data access authorization. Managing individuals' health data grants access only to authorized individuals or organizations. BC-enabled smart contracts facilitate the secure sharing of healthcare data, enabling stakeholder collaboration while preserving data privacy. The real-life applications of AI and BC in telehealth, such as Medicalchain, Nebula Genomics, and Shivom, demonstrate the successful integration of AI and BC in telehealth systems. This chapter discusses potential areas of research and development, including enhancing interoperability between AI algorithms and BC systems, incorporating privacy-preserving techniques, and exploring federated learning approaches. Combining BC and AI technologies enables secure, transparent, and patient-centric data access authorization in telehealth systems. By leveraging AI advanced data analysis capabilities and BC secure and immutable ledger, telehealth systems can enhance healthcare delivery, empower patients, foster research collaboration, and improve patient outcomes.

Keywords:
Telehealth Computer science Interoperability Data access Transparency (behavior) Health care Data sharing Information privacy Computer security Data science World Wide Web Telemedicine Database Medicine

Metrics

6
Cited By
1.93
FWCI (Field Weighted Citation Impact)
0
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Artificial Intelligence in Healthcare and Education
Health Sciences →  Medicine →  Health Informatics
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems
Privacy-Preserving Technologies in Data
Physical Sciences →  Computer Science →  Artificial Intelligence
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