The challenges of using blockchain technology for medical data in public hospitals in Malaysia

Authors

  • Muhammad Izdihar Sahalan Mr
  • Fathi
  • Hafiza

DOI:

https://doi.org/10.11113/oiji2018.6n1.277

Keywords:

blockchain applications, Malaysian public hospitals, medical data, personal data, systematic literature review

Abstract

The management and ownership of medical data will affect the future of decentralised healthcare data-sharing applications. Future research projects examining the use of blockchain technology to store medical data in governmental organisations in Malaysia will need to address governance concerns and consider how to regulate blockchain to achieve these objectives. This paper examines the present governance issues in the healthcare industry, identifies areas requiring further research, and outlines the most crucial factors for blockchain applications to function. This paper presents a systematic literature review that investigates the challenges associated with implementing blockchain applications for medical data in public hospitals in Malaysia. As a result of a systematic screening procedure, 53 primary studies were included in the final analysis, which discovered eleven significant issues individually. The analysis of eleven issues, including social, interoperability, and security concerns, presents significant challenges and solutions for blockchain applications for medical data. The systematic literature review provides insight into the current state of blockchain implementation in Malaysian public hospitals and offers helpful recommendations for addressing the identified challenges. Policymakers, hospital administrators, and blockchain technology developers can use these findings to create practices that facilitate the successful integration and implementation of blockchain applications in Malaysian public hospitals.

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Published

2023-12-18

How to Cite

Sahalan, M. I., Yusof, F., & Abas, H. (2023). The challenges of using blockchain technology for medical data in public hospitals in Malaysia. Open International Journal of Informatics, 11(2), 90–105. https://doi.org/10.11113/oiji2018.6n1.277