Smart Healthcare: Blockchain-Driven Patient Risk Classification with Machine Learning
Keywords:
Blockchain Technology, Smart healthcare system, Machine learningAbstract
The development of any nation's economy depends largely on having an efficient healthcare system. This article investigates the architecture of a framework for patient risk classification in a smart healthcare system which combines blockchain technology with machine learning. The framework seeks to transform healthcare delivery by utilizing machine learning algorithms' predictive powers in conjunction with blockchain's transparency, immutability, and decentralized data storage. This study clarifies the potential to improve patient outcomes through more precise and customized risk assessments by thoroughly analyzing the opportunities and challenges. Data security, interoperability, regulatory compliance, and technological scalability are important factors to take into account. The findings of this study provide encouraging paths for enhancing patient care and public health outcomes globally, since interdisciplinary cooperation and continuous innovation propel improvements in healthcare technology.
Downloads
References
Gordon, W. J., & Catalini, C. (2018). Blockchain technology for healthcare: facilitating the transition to patient-driven interoperability. Computational and structural biotechnology journal, 16, 224-230.
Agbo, C. C., Mahmoud, Q. H., & Eklund, J. M. (2019, April). Blockchain technology in healthcare: a systematic review. In Healthcare (Vol. 7, No. 2, p. 56). MDPI.
Alla, S., Soltanisehat, L., Tatar, U., & Keskin, O. (2018). Blockchain technology in electronic healthcare systems. In IIE Annual Conference. Proceedings (pp. 901-906). Institute of Industrial and Systems Engineers (IISE).
Chakraborty, S., Aich, S., & Kim, H. C. (2019, February). A secure healthcare system design framework using blockchain technology. In 2019 21st International Conference on Advanced Communication Technology (ICACT) (pp. 260-264). IEEE.
Jamil, F., Ahmad, S., Iqbal, N., & Kim, D. H. (2020). Towards a remote monitoring of patient vital signs based on IoT-based blockchain integrity management platforms in smart hospitals. Sensors, 20(8), 2195.
Azbeg, K., Ouchetto, O., Andaloussi, S. J., & Fetjah, L. (2022). A taxonomic review of the use of IoT and blockchain in healthcare applications. Irbm, 43(5), 511-519.
Abu-Elezz, I., Hassan, A., Nazeemudeen, A., Househ, M., & Abd-Alrazaq, A. (2020). The benefits and threats of blockchain technology in healthcare: A scoping review. International Journal of Medical Informatics, 142, 104246.
Chakraborty, S., Aich, S., & Kim, H. C. (2019, February). A secure healthcare system design framework using blockchain technology. In 2019 21st International Conference on Advanced Communication Technology (ICACT) (pp. 260-264). IEEE.
Aithal, P. S., Aithal, A., & Dias, E. (2021). Blockchain technology-current status and future research opportunities in various areas of healthcare industry. International Journal of Health Sciences and Pharmacy (IJHSP), 5(1), 130-150.
Jabbar, R., Fetais, N., Krichen, M., & Barkaoui, K. (2020, February). Blockchain technology for healthcare: Enhancing shared electronic health record interoperability and integrity. In 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT) (pp. 310-317). IEEE.
Bali, S., Bali, V., Mohanty, R. P., & Gaur, D. (2023). Analysis of critical success factors for blockchain technology implementation in healthcare sector. Benchmarking: An International Journal, 30(4), 1367-1399. https://doi.org/10.1108/BIJ-07-2021-0433
Anjum, H. F., Rasid, S. Z. A., Khalid, H., Alam, M. M., Daud, S. M., Abas, H., ... & Yusof, M. F. (2020). Mapping research trends of blockchain technology in healthcare. ieee Access, 8, 174244-174254, doi: 10.1109/ACCESS.2020.3025011.
Rathee, G., Sharma, A., Saini, H., Kumar, R., & Iqbal, R. (2020). A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology. Multimedia Tools and Applications, 79(15), 9711-9733. https://doi.org/10.1007/s11042-019-07835-3
Khan, F. A., Asif, M., Ahmad, A., Alharbi, M., & Aljuaid, H. (2020). Blockchain technology, improvement suggestions, security challenges on smart grid and its application in healthcare for sustainable development. Sustainable Cities and Society, 55, 102018.
Wong, M. C., Yee, K. C., & Nøhr, C. (2018). Socio-technical considerations for the use of blockchain technology in healthcare. In Building Continents of Knowledge in Oceans of Data: The Future of Co-Created eHealth (pp. 636-640). IOS Press.
Wu, H., Dwivedi, A. D., & Srivastava, G. (2021). Security and privacy of patient information in medical systems based on blockchain technology. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 17(2s), 1-17.
Wang, H. (2020). IoT based clinical sensor data management and transfer using blockchain technology. Journal of ISMAC, 2(03), 154-159.
Dwivedi, A. D., Malina, L., Dzurenda, P., & Srivastava, G. (2019, July). Optimized blockchain model for internet of things based healthcare applications. In 2019 42nd international conference on telecommunications and signal processing (TSP) (pp. 135-139). IEEE. doi: 10.1109/TSP.2019.8769060.
Srivastava, G., Crichigno, J., & Dhar, S. (2019, May). A light and secure healthcare blockchain for iot medical devices. In 2019 IEEE Canadian conference of electrical and computer engineering (CCECE) (pp. 1-5). IEEE. doi: 10.1109/CCECE.2019.8861593.
Griggs, K. N., Ossipova, O., Kohlios, C. P., Baccarini, A. N., Howson, E. A., & Hayajneh, T. (2018). Healthcare blockchain system using smart contracts for secure automated remote patient monitoring. Journal of medical systems, 42, 1-7. doi: 10.1007/s10916-018-0982-x. PMID: 29876661.
Pham, H. L., Tran, T. H., & Nakashima, Y. (2018, December). A secure remote healthcare system for hospital using blockchain smart contract. In 2018 IEEE globecom workshops (GC Wkshps) (pp. 1-6). IEEE. doi: 10.1109/GLOCOMW.2018.8644164.
Barka, E., Dahmane, S., Kerrache, C. A., Khayat, M., & Sallabi, F. (2021). STHM: A secured and trusted healthcare monitoring architecture using SDN and Blockchain. Electronics, 10(15), 1787. https://doi.org/10.3390/electronics10151787
Kazmi, H. S. Z., Nazeer, F., Mubarak, S., Hameed, S., Basharat, A., & Javaid, N. (2020). Trusted remote patient monitoring using blockchain-based smart contracts. In Advances on Broad-Band Wireless Computing, Communication and Applications: Proceedings of the 14th International Conference on Broad-Band Wireless Computing, Communication and Applications (BWCCA-2019) 14 (pp. 765-776). Springer International Publishing.
Javed, I. T., Alharbi, F., Bellaj, B., Margaria, T., Crespi, N., & Qureshi, K. N. (2021, June). Health-ID: A blockchain-based decentralized identity management for remote healthcare. In Healthcare (Vol. 9, No. 6, p. 712). MDPI. doi: 10.3390/healthcare9060712. PMID: 34200778; PMCID: PMC8230390.
Mohammed, R., Alubady, R., & Sherbaz, A. (2021, March). Utilizing blockchain technology for IoT-based healthcare systems. In Journal of Physics: Conference Series (Vol. 1818, No. 1, p. 012111). IOP Publishing.
Ejaz, M., Kumar, T., Kovacevic, I., Ylianttila, M., & Harjula, E. (2021). Health-blockedge: Blockchain-edge framework for reliable low-latency digital healthcare applications. Sensors, 21(7), 2502. doi: 10.3390/s21072502. PMID: 33916700; PMCID: PMC8038371.
Attia, O., Khoufi, I., Laouiti, A., & Adjih, C. (2019, June). An IoT-blockchain architecture based on hyperledger framework for health care monitoring application. In NTMS 2019-10th IFIP International Conference on New Technologies, Mobility and Security (pp. 1-5). IEEE Computer Society.. doi: 10.1109/NTMS.2019.8763849.
Faruk, M. J. H., Shahriar, H., Valero, M., Sneha, S., Ahamed, S. I., & Rahman, M. (2021, September). Towards blockchain-based secure data management for remote patient monitoring. In 2021 IEEE international conference on digital health (ICDH) (pp. 299-308). IEEE. doi: 10.1109/ICDH52753.2021.00054.
Uddin, M. A., Stranieri, A., Gondal, I., & Balasubramanian, V. (2018). A patient agent to manage blockchains for remote patient monitoring. Stud. Health Technol. Inform, 254, 105-115. PMID: 30306963
Hasan, M. R., Deng, S., Sultana, N., & Hossain, M. Z. (2021). The applicability of blockchain technology in healthcare contexts to contain COVID-19 challenges. Library Hi Tech, 39(3), 814-833. https://doi.org/10.1108/LHT-02-2021-0071
Rakic, D. (2018, March). Blockchain Technology in Healthcare. In ICT4AWE (pp. 13-20).
Khezr, S., Moniruzzaman, M., Yassine, A., & Benlamri, R. (2019). Blockchain technology in healthcare: A comprehensive review and directions for future research. Applied sciences, 9(9), 1736. https://doi.org/10.3390/app9091736.
Asad Ali Siyal; Aisha Zahid Junejo; Zawish, Muhammad; Kainat Ahmed; Khalil, Aiman; et al. (2019): Cryptography; Basel Vol.3, Iss.1, 3. DOI:10.3390/cryptography3010003
Gupta, P., Hudnurkar, M., & Ambekar, S. (2021). Effectiveness of blockchain to solve the interoperability challenges in healthcare. Cardiometry, (20), 79-87.
Zubaydi, H. D., Chong, Y. W., Ko, K., Hanshi, S. M., & Karuppayah, S. (2019). A review on the role of blockchain technology in the healthcare domain. Electronics, 8(6), 679. https://doi.org/10.3390/electronics8060679
Shahnaz, A., Qamar, U., & Khalid, A. (2019). Using blockchain for electronic health records. IEEE access, 7, 147782-147795. doi: 10.1109/ACCESS.2019.2946373.
Pham, H. L., Tran, T. H., & Nakashima, Y. (2018, December). A secure remote healthcare system for hospital using blockchain smart contract. In 2018 IEEE globecom workshops (GC Wkshps) (pp. 1-6). IEEE. doi: 10.1109/GLOCOMW.2018.8644164.
Srivastava, G., Parizi, R. M., Dehghantanha, A., & Choo, K. K. R. (2019, November). Data sharing and privacy for patient IoT devices using blockchain. In International Conference on Smart City and Informatization (pp. 334-348). Singapore: Springer Singapore. https://doi.org/10.1007/978-981-15-1301-5_27
Rani, P., Kaur, P., Jain, V., Shokeen, J., & Nain, S. (2022). Blockchain-based IoT enabled health monitoring system. The Journal of Supercomputing, 78(15), 17284-17308. https://doi.org/10.1007/s11227-022-04584-3
Ali, M. S., Vecchio, M., Putra, G. D., Kanhere, S. S., & Antonelli, F. (2020). A decentralized peer-to-peer remote health monitoring system. Sensors, 20(6), 1656. doi: 10.3390/s20061656. PMID: 32188135; PMCID: PMC7146265.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
All papers should be submitted electronically. All submitted manuscripts must be original work that is not under submission at another journal or under consideration for publication in another form, such as a monograph or chapter of a book. Authors of submitted papers are obligated not to submit their paper for publication elsewhere until an editorial decision is rendered on their submission. Further, authors of accepted papers are prohibited from publishing the results in other publications that appear before the paper is published in the Journal unless they receive approval for doing so from the Editor-In-Chief.
IJISAE open access articles are licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. This license lets the audience to give appropriate credit, provide a link to the license, and indicate if changes were made and if they remix, transform, or build upon the material, they must distribute contributions under the same license as the original.
