directed acyclic graph, electronic healthcare system, healthcare data exchange, medical patient data, IOTA


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.


McGhin T. et al. Blockchain in healthcare applications: Research challenges and opportunities //Journal of Network and Computer Applications. 2019. Т. 135. С. 62-75.

Ben Fekih R., Lahami M. Application of blockchain technology in healthcare: A comprehensive study //The Impact of Digital Technologies on Public Health in Developed and Developing Countries: 18th International Conference, ICOST 2020, Hammamet, Tunisia, June 24–26, 2020, Proceedings 18. Springer International Publishing, 2020. С. 268-276.

Sagar V., Kaushik P. Ethereum 2.0 blockchain in healthcare and healthcare-based internet-of-things devices //Proceedings of the International Conference on Paradigms of Computing, Communication and Data Sciences: PCCDS 2020. Springer Singapore, 2021. С. 225-233.

Nguyen D. C. et al. Blockchain for secure ehrs sharing of mobile cloud-based e-health systems //IEEE access, 2019. Т. 7. С. 66792-66806.

Agarwal A. K. et al. A systematic analysis of applications of blockchain in healthcare //2021 6th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2021. С. 413-417.

Jagtap S. T. et al. A framework for secure healthcare system using blockchain and smart contracts //2021 Second International Conference on Electronics and Sustainable Communication Systems (ICESC). IEEE, 2021. С. 922-926.

Patel V. A framework for secure and decentralized sharing of medical imaging data via blockchain consensus //Health informatics journal, 2019. Т. 25. №. 4. С. 1398-1411.

Al Asad N. et al. Permission-based blockchain with proof of authority for secured healthcare data sharing //2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT). IEEE, 2020. С. 35-40.

Rajput A. R. et al. EACMS: Emergency access control management system for personal health record based on blockchain //IEEE Access, 2019. Т. 7. С. 84304-84317.

Islam M. et al. Distributed Ledger Technology based Integrated Healthcare Solution for Bangladesh //arXiv preprint arXiv:2205. 2022. p. 15416.

Agbo C. C., Mahmoud Q. H. Design and implementation of a blockchain-based e-health consent management framework //2020 ieee international conference on systems, man, and cybernetics (smc). IEEE, 2020. С. 812-817.

Shah M. et al. CrowdMed: A blockchain-based approach to consent management for health data sharing //Smart Health: International Conference, ICSH 2019, Shenzhen, China, July 1–2, 2019, Proceedings 7. Springer International Publishing, 2019. С. 345-356.

Golubnychy D. et al. Архітектура системи обміну медичними даними пацієнтів з лікарями на основі IOTA //Системи управління, навігації та зв’язку. Збірник наукових праць. 2022. Т. 1. №. 67. С. 57-61.

Shmatko O., Kliuchka Y. A novel architecture of a secure medical data storage management system based on tangle //Scientific Collection «InterConf+». 2022. №. 27 (133). С. 361-374.

Kliuchka Y. O., Shmatko O. V. Порівняння технології блокчейн і спрямованого ациклічного графа при зберіганні і обробці даних в розподіленому реєстрі //Вісник Національного технічного університету «ХПІ». Серія: Системний аналіз, управління та iнформацiйнi технології. 2020. №. 1 (3). С. 106-116.