Blockchain and Relational Databases: Causing a Revolution in Healthcare Data Management and Data Security

Blockchain and Relational Databases: Causing a Revolution in Healthcare Data Management and Data Security

연구 분야: Databases

학회: 2025 IEEE International Conference on Software Services Engineering (SSE)

Data and databases are the most important assets for enterprises today, driving informed decision-making, enhancing operational efficiency, serving as valuable intangible assets, enabling digital transformation, and mitigating risks through proper management and security. Organizations are working on solutions to ensure data security, integrity, and availability while enabling smooth data interoperability and convergence. However, data security of sensitive information remains a big challenge, particularly in the healthcare sector. Built on basic data security principles like hashes and encryption, blockchain is a distributed system that keeps identical copies across multiple nodes, therefore ensuring data consistency and integrity. In this paper, we explored the potential of integrating blockchain technology with contemporary relational database systems. We used Python and SQL to simulate and analyze the compatibility between blockchain data formats and regular relational databases. Using experimental scenarios within a RDBMS environments, we explored how blockchain's immutable and decentralized record system might increase data security and integrity when integrated with conventional database systems. This paper investigates the possibilities of combining blockchain's unchangeable and distributed document-retaining mechanism with the well-established structure of relational databases with an eye toward how blockchain and relational databases might be used together to improve the security and alignment of healthcare data. The aim of this paper is to discuss the issues in existing systems and to characterize both blockchain and relational database technologies. We explore blockchain data system-oriented techniques and scripting in the RDBMS environment to develop practical approaches to enhance data security and interoperability in healthcare systems.