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Securing healthcare IoT: A meta-synthesis of challenges, solutions, and technology convergence
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DOI：10.1016/j.dcan.2026.07.004.png)
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Abstract
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The Internet of Things (IoT) has transformed the healthcare industry, with technologies such as big data, blockchain, and artificial intelligence driving significant benefits through technology convergence. However, Healthcare IoT (H-IoT) systems face persistent security and privacy challenges. This meta-synthesis analyzes the current literature to identify key aspects of H-IoT security, including requirements, threats, and proposed technical solutions, while emphasizing the role of technology convergence in addressing these issues. The reviewed studies are categorized into two groups: qualitative research (focused on security features, requirements, threats, and attacks) and quantitative research (organized into six technical solution domains: blockchain; cryptography; authentication schemes and protocols; artificial intelligence and machine learning; H-IoT systems with embedded security solutions; and security and privacy frameworks). Finally, future research directions are explored to emphasize the critical role of technology convergence in enhancing H-IoT security.
Keywords:
IoT-based healthcare
Healthcare IoT (H-IoT)
Security challenges
Data privacy
Cybersecurity
Meta-synthesis
Technology convergence
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