Vol. 1 No. 1 (2021): Journal of AI-Assisted Scientific Discovery
Articles

Blockchain-based Healthcare Systems: Investigating the use of blockchain technology in healthcare for patient data management, interoperability, and secure health records

Dr. Ying Liu
Associate Professor of Computer Science, Nanyang Technological University (NTU), Singapore
Cover

Published 23-06-2024

Keywords

  • Blockchain,
  • Healthcare Delivery,
  • Data Security

How to Cite

[1]
Dr. Ying Liu, “Blockchain-based Healthcare Systems: Investigating the use of blockchain technology in healthcare for patient data management, interoperability, and secure health records”, Journal of AI-Assisted Scientific Discovery, vol. 1, no. 1, pp. 1–9, Jun. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/40

Abstract

Blockchain technology has gained significant attention in recent years for its potential to revolutionise various industries, including healthcare. This paper explores the use of blockchain in healthcare systems, focusing on patient data management, interoperability, and secure health records. We discuss the benefits and challenges of implementing blockchain in healthcare, highlighting its ability to improve data security, enhance interoperability between healthcare providers, and empower patients with greater control over their health information. We also analyze various blockchain-based healthcare projects and initiatives, showcasing the practical applications and potential impact of this technology in transforming the healthcare industry. Through this research, we aim to provide a comprehensive overview of blockchain-based healthcare systems and their implications for the future of healthcare delivery.

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References

  1. Mahammad Shaik, et al. “Unveiling the Achilles’ Heel of Decentralized Identity: A Comprehensive Exploration of Scalability and Performance Bottlenecks in Blockchain-Based Identity Management Systems”. Distributed Learning and Broad Applications in Scientific Research, vol. 5, June 2019, pp. 1-22, https://dlabi.org/index.php/journal/article/view/3.
  2. Tatineni, Sumanth. "Enhancing Fraud Detection in Financial Transactions using Machine Learning and Blockchain." International Journal of Information Technology and Management Information Systems (IJITMIS) 11.1 (2020): 8-15.