Citation

Siam, Ahsan Habib and Haque, Md. Ehsanul and Farid, Fahmid Al and Sutradhar, Anindita and Uddin, Jia and Mansor, Sarina (2025) A Blockchain-Based Hybrid Framework for Secure and Scalable Electronic Health Record Management in In-Patient Follow-Up Tracking. Computers, Materials & Continua, 86 (3). pp. 1-10. ISSN 1546-2226

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Abstract

As healthcare systems increasingly embrace digitalization, effective management of electronic health records (EHRs) has emerged as a critical priority, particularly in inpatient settings where data sensitivity and real- time access are paramount. Traditional EHR systems face significant challenges, including unauthorized access, data breaches, and inefficiencies in tracking follow-up appointments, which heighten the risk of misdiagnosis and medication errors. To address these issues, this research proposes a hybrid blockchain-based solution for securely managing EHRs, specifically designed as a framework for tracking inpatient follow-ups. By integrating QR code- enabled data access with a blockchain architecture, this innovative approach enhances privacy protection, data integrity, and auditing capabilities, while facilitating swift and real-time data retrieval. The architecture adheres to Role-Based Access Control (RBAC) principles and utilizes robust encryption techniques, including SHA-256 and AES-256-CBC, to secure sensitive information. A comprehensive threat model outlines trust boundaries and potential adversaries, complemented by a validated data transmission protocol. Experimental results demonstrate that the framework remains reliable in concurrent access scenarios, highlighting its efficiency and responsiveness in real-world applications. This study emphasizes the necessity for hybrid solutions in managing sensitive medical information and advocates for integrating blockchain technology and QR code innovations into contemporary healthcare systems.

Item Type:	Article
Uncontrolled Keywords:	Electronic health records, blockchain, data security, user access control, QR code, blockchain in healthcare, medical data privacy
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28-70 Management. Industrial Management > HD30.2 Electronic data processing. Information technology. Including artificial intelligence and knowledge management
Divisions:	Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	09 Feb 2026 02:25
Last Modified:	09 Feb 2026 02:25
URII:	http://shdl.mmu.edu.my/id/eprint/15226

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