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Journal of Information and Optimization Sciences cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-0103·ISSN (Print): 0252-2667

WoS  JIF 2026 : 0.4 (Q4)

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Monthly Journal: Publishes theoretical and applied research on topics in information and optimization sciences.

Issues up to 2022 co-published with and available at:Taylor & Francis
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Open Access Research Article

BHPEC : Design of an efficient model for blockchain-based healthcare privacy enhancement in clinical settings

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pp. 1323–1333Vol. 46Issue 4-BMay 2025DOI: 10.47974/JIOS-1993XML
Received:
15 Oct 2024
Published Online:
31 May 2025
Article type:
Research Article
Language:
EN
Article no.:
JIOS-1993
Pages:
1323–1333

Abstract

In the fast-changing health technology domain, the need for an improvement in privacy and efficiency in the clinical scenario has become very critical. Traditional blockchain models, revolutionary in themselves, have numerous limitations for healthcare applications in areas like nonoptimal energy efficiency, latency, compromised privacy levels, throughput limitations, inconsistent packet delivery, and jitter levels. This paper comes up with an innovative “Proof of Healthcare Privacy” consensus mechanism ( PoHP) and a low complexity Coot Optimization model that enhances the scalability of blockchains. This proposed model has been tested empirically at different clinical settings, which shows very impressive results with an increase in energy, efficiency, while reducing the delay and enhancing privacy levels. The model also increases the throughput, the packet delivery ratio and reducing jitter when compared to the blockchain methods available. The proposed model significantly enhances privacy and operational efficiencies in blockchain applications for healthcare.

Keywords

Subject Classifications

Primary 93A30Secondary 49K15

References

[1] B. Ren, L. T. Yang, Q. Zhang, J. Feng and X. Nie, “Blockchain-Powered Tensor Meta-Learning-Driven Intelligent Healthcare System With IoT Assistance,” in IEEE Transactions on Network Science and Engineering, vol. 10, no. 5, pp. 2503-2513 (1 Sept.-Oct. 2023), doi: 10.1109/TNSE.2022.3227317.
[2] Md. A. Islam, Md. A. H. Jacky, Md. Al-Amin, Md. S. Miah, Md. M. I. Khan, Md. I. Hossain, “Distributed Ledger Technology Based Integrated Healthcare Solution for Bangladesh,” in IEEE Access, vol. 11, pp. 51527-51556 (2023), doi: 10.1109/ACCESS.2023.3279724.
[3] R. Myrzashova, S. H. Alsamhi, A. V. Shvetsov, A. Hawbani and X. Wei, “Blockchain Meets Federated Learning in Healthcare: A Systematic Review With Challenges and Opportunities,” in IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14418-14437, 15 Aug.15 (2023), doi: 10.1109/JIOT.2023.3263598.
[4] S. R. Mallick, R. K. Lenka, V. Goswami, S. Sharma, A. K. Dalai, H. Das; R. K. Barik, “BCGeo: Blockchain-Assisted Geospatial Web Service for Smart Healthcare System,” in IEEE Access, vol. 11, pp. 58610-58623 (2023), doi: 10.1109/ACCESS.2023.3283776.
[5] A.Lakhan, M. A. Mohammed, J. Nedoma, R. Martinek,  P. Tiwari, A. Vidyarthi, A. Alkhayyat, W. Wang, “Federated-Learning Based Privacy Preservation and Fraud-Enabled Blockchain IoMT System for Healthcare,” in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 2, pp. 664-672 (Feb. 2023), doi: 10.1109/JBHI.2022.3165945.
[6] L. D. Costa, B. Pinheiro, W. Cordeiro, R. Araújo and A. Abelém, “Sec-Health: A Blockchain-Based Protocol for Securing Health Records,” in IEEE Access, vol. 11, pp. 16605-16620 (2023), doi: 10.1109/ACCESS.2023.3245046.
[7] J. Li, D. Li and X. Zhang, “A Secure Blockchain-Assisted Access Control Scheme for Smart Healthcare System in Fog Computing,” in IEEE Internet of Things Journal, vol. 10, no. 18, pp. 15980-15989, 15 Sept.15 (2023), doi: 10.1109/JIOT.2023.3268278.
[8] V. Agarwal and S. Pal, “HierChain: A Hierarchical-Blockchain-Based Data Management System for Smart Healthcare,” in IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2924-2934, 15 Jan.15 (2024), doi: 10.1109/JIOT.2023.3295847.
[9] Z. A. E. Houda, A. S. Hafid, L. Khoukhi and B. Brik, “When Collaborative Federated Learning Meets Blockchain to Preserve Privacy in Healthcare,” in IEEE Transactions on Network Science and Engineering, vol. 10, no. 5, pp. 2455-2465 (1 Sept.-Oct. 2023), doi: 10.1109/TNSE.2022.3211192.
[10] V. Stephanie, I. Khalil, M. Atiquzzaman and X. Yi, “Trustworthy Privacy-Preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 With Blockchain,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 7, pp. 7936-7945 (July 2023), doi: 10.1109/TII.2022.3214998.
[11] F. F. Alruwaili, B. Alabduallah, H. Alqahtani, A. S. Salama, G. P. Mohammed and A. A. Alneil, “Blockchain Enabled Smart Healthcare System Using Jellyfish Search Optimization With Dual-Pathway Deep Convolutional Neural Network,” in IEEE Access, vol. 11, pp. 87583-87591 (2023), doi: 10.1109/ACCESS.2023.3304269.
[12] J. Liu, W.  Jiang, R. Sun, A. K. Bashir, M. D. Alshehri, Q. Hua, K. Yu, “Conditional Anonymous Remote Healthcare Data Sharing Over Blockchain,” in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 5, pp. 2231-2242 (May 2023), doi: 10.1109/JBHI.2022.3183397.
[13] J. A. Alzubi, O. A. Alzubi, A. Singh and M. Ramachandran, “Cloud-IIoT-Based Electronic Health Record Privacy-Preserving by CNN and Blockchain-Enabled Federated Learning,” in IEEE Transactions on Industrial Informatics, vol. 19, no. 1, pp. 1080-1087 (Jan. 2023), doi: 10.1109/TII.2022.3189170.
[14] S. Thapliyal, M. Wazid, D. P. Singh, A. K. Das, S. Shetty and A. Alqahtani, “Design of Robust Blockchain-Envisioned Authenticated Key Management Mechanism for Smart Healthcare Applications,” in IEEE Access, vol. 11, pp. 93032-93047 (2023), doi: 10.1109/ACCESS.2023.3310264.
[15] J. Liu, Y. Fan, R. Sun, L. Liu, C. Wu and S. Mumtaz, “Blockchain-Aided Privacy-Preserving Medical Data Sharing Scheme for E-Healthcare System,” in IEEE Internet of Things Journal, vol. 10, no. 24, pp. 21377-21388, 15 Dec.15 (2023), doi: 10.1109/JIOT.2023.3287636.
[16] N. K. Dewangan and P. Chandrakar, “Patient-Centric Token-Based Healthcare Blockchain Implementation Using Secure Internet of Medical Things,” in IEEE Transactions on Computational Social Systems, vol. 10, no. 6, pp. 3109-3119 (Dec. 2023), doi: 10.1109/TCSS.2022.3194872.
[17] A. Alnuaimi, D. Hawashin, R. Jayaraman, K. Salah and M. Omar, “Trustworthy Healthcare Professional Credential Verification Using Blockchain Technology,” in IEEE Access, vol. 11, pp. 109669-109688 (2023), doi: 10.1109/ACCESS.2023.3322359.
[18] O. Samuel, A. B. Omojo, A.M. Onuja,Y. Sunday, P. Tiwari, D. Gupta, G. Hafeez, A. S. Yahaya, O. J. Fatoba, S. Shamshirband, “IoMT: A COVID-19 Healthcare System Driven by Federated Learning and Blockchain,” in IEEE Journal of Biomedical and Health Informatics, vol. 27, no. 2, pp. 823-834 (Feb. 2023), doi: 10.1109/JBHI.2022.3143576.

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