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AI-Induced Cybersecurity Risks in Healthcare: A Narrative Review of Blockchain-Based Solutions Within a Clinical Risk

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Artificial intelligence (AI) in healthcare faces cybersecurity risks. Blockchain technology offers solutions for secure data management and improved clinical risk management, enhancing patient safety and accountability.

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Area of Science:

  • Healthcare Informatics
  • Cybersecurity
  • Blockchain Technology

Background:

  • Artificial intelligence (AI) integration in healthcare enhances diagnostics and treatments but introduces significant cybersecurity risks.
  • Key threats include data breaches, opaque algorithms, and vulnerabilities in AI-driven medical devices.
  • Clinical risk management frameworks are essential to address these emerging challenges.

Purpose of the Study:

  • To analyze cybersecurity threats posed by AI in healthcare.
  • To evaluate blockchain technology as a mitigation strategy for these risks.
  • To explore blockchain integration within a Clinical Risk Management framework.

Main Methods:

  • A comprehensive literature search was performed across PubMed, Scopus, and Web of Science (2000-2025).
  • 1,204 articles were reviewed, with a focus on healthcare cybersecurity, clinical blockchain applications, and relevant regulations.
  • The Scale for the Assessment of Narrative Review Articles criteria ensured methodological rigor.

Main Results:

  • Thematic analysis identified critical issues: informed consent challenges, unauthorized data access, and digital infrastructure vulnerabilities.
  • Blockchain's decentralization, immutability, and transparency offer solutions for secure data sharing and consent management.
  • Smart contracts, permissioned networks, and Layer 2 solutions enhance security, traceability, and scalability.

Conclusions:

  • Blockchain adoption in healthcare faces barriers such as cost, regulatory hurdles, and professional acceptance.
  • Effective integration requires pilot projects, interdisciplinary collaboration, and updated regulations.
  • Combining AI and blockchain in Clinical Risk Management can shift from reactive to proactive approaches, improving patient safety and data governance.