DESIGN AND EVALUATION OF AN IOTA-BASED MEDICAL INFORMATION SYSTEM

Abstract

The traditional medical information systems are plagued by issues such as data breaches, lack of privacy, and data integrity concerns. This paper presents the design and evaluation of an IOTA-based medical information system aimed at addressing these challenges. In recent years, blockchain technology has emerged as a powerful tool for securing and managing data in a decentralized manner. One area where this technology has the potential to revolutionize the way we do things is in e-medicine. E-medicine, or electronic medicine, refers to the use of technology to deliver healthcare services remotely. This includes telemedicine, online consultations, and remote monitoring of patients' health status. IOTA blockchain technology, in particular, has a lot of potential in e-medicine. IOTA is a distributed ledger technology that uses a directed acyclic graph (DAG) instead of a traditional blockchain. The main ad-vantage of this approach is that it eliminates the need for miners and makes the system more scalable, fast, and energy-efficient. IOTA is also designed to be feeless, making it an ideal choice for microtransactions. In e-medicine, IOTA can be used in several ways. One potential use case is for secure and decentralized storage of patients' medical records. Medical records are highly sensitive and contain confidential information that needs to be protected from unauthorized access. By using IOTA's tamper-proof and immutable ledger, patients can have more control over their medical records and choose who has access to them. This can be especially useful in situations where patients need to share their medical records with multiple healthcare providers or research institutions. By leveraging the unique features of IOTA, such as its feeless microtransactions, scalability, and distributed ledger technology, the proposed system enhances security, privacy, and interoperability in healthcare information management. The evaluation of the system involves performance tests, and a comparison with existing solutions.