Artificial Intelligence and Blockchain as Determinants of Healthcare Data Security Transformation
DOI:
https://doi.org/10.70715/jitcai.2026.v3.i4.083Keywords:
Blockchain technology, Artificial intelligence, healthcare data security, Cybersecurity, electronic health recordsAbstract
The rapid digitalization of healthcare has led to the generation of vast amounts of sensitive patient information, increasing the need for advanced security solutions beyond traditional centralized systems. This study examines the integration of Artificial Intelligence (AI) and blockchain technology as a transformative approach to healthcare data security. Conventional electronic health record systems often face challenges such as single points of failure, limited transparency, and vulnerability to cyber threats. Blockchain addresses these issues by providing a decentralized and immutable ledger that ensures data integrity, traceability, and secure record management through cryptographic techniques and consensus protocols.
In parallel, AI strengthens security by enabling intelligent threat detection, predictive analytics, and adaptive authentication mechanisms. Machine learning algorithms continuously analyze network activities and user behaviors to identify potential breaches and insider threats in real time. The combination of AI and blockchain creates a synergistic framework in which AI enhances blockchain efficiency, while blockchain provides a transparent and trustworthy environment for AI-driven data processing.
The study further explores the role of blockchain-secured federated learning, which enables collaborative model training across healthcare institutions without exposing sensitive patient data. Key challenges, including interoperability, scalability, regulatory compliance, and integration with legacy systems, are also discussed. Additionally, patient empowerment is enhanced through self-sovereign identity models that grant individuals greater control over their personal health information.
Despite challenges related to computational complexity and standardization, the convergence of AI and blockchain offers a proactive, resilient, and privacy-preserving security architecture for modern healthcare. Future research should focus on lightweight cryptographic solutions, quantum-resistant security mechanisms, and governance frameworks for decentralized healthcare ecosystems. Overall, this integration represents a significant step toward secure, transparent, and patient-centered digital healthcare systems.
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Data Availability Statement
The data supporting the findings of this study were generated through a simulated healthcare environment and synthetic datasets developed for research purposes. The simulation parameters, framework architecture, and evaluation procedures are fully described within the manuscript. Additional methodological details may be made available by the corresponding author upon reasonable request.
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Copyright (c) 2026 OLUSEGUN GBOLADE (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
