A Blockchain-Enabled Security System for Enhancing Data Integrity and Access Control in Hospital Communication Networks

Authors

  • Ruihan Dong Computer Science, The University of Texas at Arlington, Arlington, USA

Keywords:

Medical Information System, Computer Communication Network, Blockchain, Data Security, Immutability, Distributed Ledger, Patient Privacy, Healthcare Infrastructure

Abstract

The relentless iteration of medical information technology has positioned the hospital computer communication system as the central nervous system of modern healthcare infrastructure. This system is entrusted with the storage and transmission of highly sensitive data, including patient diagnostic information, comprehensive electronic medical records (EMRs), and critical clinical decision support plans. However, the inherent complexity of hospital network environments, coupled with the continuous evolution of cyber-attack methodologies, has led to increasingly prominent security vulnerabilities within medical communication networks. Incidents of data leakage or tampering pose a direct threat to patient privacy and safety, while the manipulation of diagnostic and treatment information can severely disrupt the continuity of care, potentially leading to life-threatening risks in extreme scenarios. Blockchain technology, characterized by its decentralization, immutability, and cryptographic security, presents an innovative pathway to address these inherent security flaws. Its distributed ledger structure ensures data integrity and provides a transparent, auditable trail for all transactions. This paper, building upon this premise, conducts a systematic study on the construction of a robust security protection system for hospital computer communication networks, supported by blockchain technology. We propose a framework that leverages blockchain to create a secure, tamper-proof repository for access logs and data transaction records, ensuring the traceability and non-repudiation of all data access events. The study details the architectural integration of blockchain within existing hospital information systems, focusing on modules for identity and access management, secure data sharing between departments, and automated audit compliance. By providing a reference model that enhances data confidentiality, integrity, and availability, this research aims to contribute to the development of more resilient and trustworthy medical communication infrastructures, ultimately safeguarding patient welfare and the operational continuity of healthcare services.

References

Ding, C.; Wu, C. Self-Supervised Learning for Biomedical Signal Processing: A Systematic Review on ECG and PPG Signals. medRxiv 2024.

Zhang, Yuhan. "InfraMLForge: Developer Tooling for Rapid LLM Development and Scalable Deployment." (2025).

Hu, Xiao. "GenPlayAds: Procedural Playable 3D Ad Creation via Generative Model." (2025).

Qin, Haoshen, et al. "Optimizing deep learning models to combat amyotrophic lateral sclerosis (ALS) disease progression." Digital health 11 (2025): 20552076251349719.

Li, X., Lin, Y., & Zhang, Y. (2025). A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy. arXiv preprint arXiv:2507.12098.

Li, X., Wang, X., & Lin, Y. (2025). Graph Neural Network Enhanced Sequential Recommendation Method for Cross-Platform Ad Campaign. arXiv preprint arXiv:2507.08959.

Zheng, Haoran, et al. "FinGPT-Agent: An Advanced Framework for Multimodal Research Report Generation with Task-Adaptive Optimization and Hierarchical Attention." (2025).

Chen, Yang, et al. "SyntheClean: Enhancing Large-Scale Multimodal Models via Adaptive Data Synthesis and Cleaning." 2025 5th International Conference on Artificial Intelligence and Industrial Technology Applications (AIITA). IEEE, 2025.

Jiang, Gaozhe, et al. "A Knowledge-Enhanced Multi-Task Learning Model for Domain-Specific Question Answering." 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE, 2025.

Zhuo, Jiayang, et al. "An Intelligent-Aware Transformer with Domain Adaptation and Contextual Reasoning for Question Answering." 2025 IEEE 6th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT). IEEE, 2025.

Zhang, Hanlu, et al. "Dynamic Attention-Guided Video Generation from Text with Multi-Scale Synthesis and LoRA Optimization." 2025 4th International Symposium on Computer Applications and Information Technology (ISCAIT). IEEE, 2025.

Shih, Kowei, et al. "DST-GFN: A Dual-Stage Transformer Network with Gated Fusion for Pairwise User Preference Prediction in Dialogue Systems." 2025 8th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE). IEEE, 2025.

Chen, Rensi. "The application of data mining in data analysis." International Conference on Mathematics, Modeling, and Computer Science (MMCS2022). Vol. 12625. SPIE, 2023.

Chen, Yinda, et al. "Generative text-guided 3d vision-language pretraining for unified medical image segmentation." arXiv preprint arXiv:2306.04811 (2023).

Sun, N., Yu, Z., Jiang, N., & Wang, Y. (2025). Construction of Automated Machine Learning (AutoML) Framework Based on Large LanguageModels.

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Published

2025-10-31

How to Cite

Dong, R. (2025). A Blockchain-Enabled Security System for Enhancing Data Integrity and Access Control in Hospital Communication Networks. International Journal of Advance in Applied Science Research, 4(8), 10–15. Retrieved from https://h-tsp.com/index.php/ijaasr/article/view/120

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Articles