Smart Contract Blockchain for Supporting Therapy of Neurological Patients
https://doi.org/10.35596/1729-7648-2025-23-3-86-94
Abstract
The scientific novelty of the article is the technology of using a medical blockchain based on a smart contract to support patient therapy after IT diagnosis of Alzheimer’s disease. In combination with the subsystem of IT diagnostics of a patient, the exchange of recognition data for the degree of Alzheimer’s disease is implemented. The smart contract performs automated management of therapy support for patients with diagnosed Alzheimer’s disease . The functional structure of the therapy support subsystem (smart contract in the Etherium blockchain) has been developed, including initialization of patient data, treatment plans, registration of medical staff, record management, dynamic switching of therapy plans based on diagnostic data, monitoring of medical staff warnings, as well as management of payments and their distribution. The proposed smart contract enables a new approach to interaction and collaboration in the field of therapy management and can be used for neurological patients with other diseases.
About the Authors
U. А. Vishniakou
Belarusian State University of Informatics and Radioelectronics
Belarus
Dr. Sci. (Tech.), Professor at the Department of Infocommunication Technologies
Belarus
Dr. Sci. (Tech.), Professor at the Department of Infocommunication Technologies
Yu Chuyue
Belarusian State University of Informatics and Radioelectronics
Belarus
Postgraduate at the Department of Infocommunication Technologies
Belarus
Postgraduate at the Department of Infocommunication Technologies
References
1. Vishniakou U. A., Kachan D. A. (2023) Blockchain Technology in Education and IT Medicine: Models, Algorithms, Software Tools. Minsk, Republican Institute of Higher Education (in Russian).
2. Shuai Wang, Liwei Ouyang, Yong Yuan, Xiaochun Ni (2019) Blockchain-Enabled Smart Contracts: Architecture, Applications, and Future Trends. IEEE Transactions on Systems Man and Cybernetics Systems. 49 (11), 2266–2277.
3. Long Jiujun, Li Hongjin, Pan Shiqing (2021) Design and Implementation of a Blockchain-Based Electronic Medical Records System. Network Security Technologies and Applications. (9), 58–60.
4. Vishniakou U. A., Yu Chu Yeu (2024) Development and Modeling of the Internet of Things Network for Patients IT Diagnostics. Doklady BGUIR. 22 (5), 104–112. http://dx.doi.org/10.35596/1729-7648-202422-5-104-112 (in Russian).
5. Zhao Xuli, Wang Huazhi, Sun Yan, Xu Hongjie, Zhang Qian, Chen Xi, et al. (2023) A Survey of Multidisciplinary Team-Based Comprehensive Nursing on ADL And Cognitive Function of Alzheimer Disease Patients. Chinese Journal of Alzheimer’s Disease and Related Disorders. 6 (1), 73–76. https://doi.org/10.3969/j.issn.20965516.2023.01.013.
6. Tu Hanlu (2016) A Brief Overview of Product Design to Meet the Needs of Elderly People with Asthma. Science and Innovation. (12).
7. Xu Jing, Cai Huazhuan (2021) The Progress of Research on the Care of Patients with Asthma. Nursing. 10 (5), 465–470.
8. Wang Jinxiao, Zhao Qianqian, Zhao Qingqing, Wang Fan (2024) The Progress of Research on the Care of Patients with Asthma. Modern Medicine in China. 31 (12), 190–194.
9. Zhang Huanhuan (2024) The Effectiveness of Using a Model of Joint Management of Patients and Medical Staff in the Care of Elderly Patients with Early-Stage Asthma to Prevent Falls. Chinese and Foreign Medicine Research. 3 (1), 129–131.
Review
For citations:
Vishniakou U.А., Chuyue Yu. Smart Contract Blockchain for Supporting Therapy of Neurological Patients. Doklady BGUIR. 2025;23(3):86-94. (In Russ.) https://doi.org/10.35596/1729-7648-2025-23-3-86-94
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