Leveraging Blockchain for Secure and Transparent Healthcare Data Management: Enhancing Patient Privacy and Interoperability in Medical Systems

Authors

  • Faran Ali Riphah International College, Lahore
  • Asmatullah Qurtaba University, DI Khan

Keywords:

Blockchain, Patient data management, Patient privacy, Transparency, Smart contract, Healthcare information systems

Abstract

The healthcare sector is undergoing significant digital innovation, but issues with data security, patient interoperability privacy, persist. and Received 02 May 2025 Revised 26 June, 2025 Accepted 29 June. 2025 Blockchain technology, with its decentralized, transparent, and immutable nature, offers a potential solution. This study explores blockchain's applicability in addressing healthcare data management limitations, focusing on patient privacy protection and cross-hospital interoperability. Our solution utilizes blockchain to provide a secure data repository, empower patients with data access permissions, and enable efficient data sharing. The analysis highlights blockchain's benefits in mitigating data breaches and optimizing data sharing, while also addressing regulatory and technological challenges. A roadmap for successful implementation is presented, demonstrating blockchain's potential to enhance healthcare data handling. By leveraging blockchain technology, we can create a more secure, efficient, and patient-centric healthcare system. This study contributes to the growing body of research on blockchain's applications in healthcare, highlighting its potential for transformative impact.

Author Biographies

Faran Ali, Riphah International College, Lahore

MS/MPhil Economics

Asmatullah, Qurtaba University, DI Khan

Dept of Management Science

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Published

02.12.2025

Issue

Vol. 11 No. 1 (2025): Sarhad Journal of Management Sciences (SJMS)

Section

Articles

License

Copyright (c) 2025 Faran Ali, Asmatullah

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

All content published in SJMS is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0). Under this license, authors and readers are free to share (copy and redistribute the material in any medium or format) and adapt (remix, transform, and build upon the material for any purpose, even commercially), provided appropriate credit is given to the original author(s) and source publication.