A Three-Tier Architecture Framework with Blockchain Integration to Improve the Security in Healthcare Applications

The utilization of online diagnosis as a prevalent data service in contemporary healthcare systems involves the real-time collection of physical data through Internet of Things (IoT) devices, such as body sensors and software. This data informs instantaneous decision-making in the diagnostic process. However, the sensitive nature of the collected user data and diagnosis results poses a significant risk of privacy breaches or hacking incidents, potentially leading to misinformation or even fatal outcomes. The involvement of third-party cloud services exacerbates concerns about data protection. Compounding these issues, resource-constrained IoT devices often lack standard security measures. It is imperative to consider parameters such as accuracy, adaptability, low computation time, and the implementation of appropriate anonymity procedures. Addressing these challenges requires the development of a robust algorithm that prioritizes secure access to health records, with a particular emphasis on blockchain technology. To mitigate these shortcomings and ensure the secure storage of patient health data, this study advocates for the creation of a resilient three-tier architecture leveraging blockchain technology. This approach aims to enhance security measures, maintain data accuracy, and facilitate efficient access to health records while safeguarding patient confidentiality.