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article · Scientific Reports

Blockchain-enabled verification of medical records using soul-bound tokens and cloud computing

202418 citationsOpen accessDebre Tabor University

In plain language

Verifying medical records is a critical and expensive process that often relies on centralised databases and time-consuming manual validation. To tackle these issues, a blockchain-based system using soul-bound tokens (SBTs) has been proposed to automate the authentication and verification of health documents. Non-transferable SBTs generate encrypted, immutable credentials directly linked to a record, permitting users to securely validate specific portions of data. The architecture incorporates cloud computing to allow rapid access to decentralised data, reducing the overall verification duration. Furthermore, the framework applies deep learning algorithms to lower operational costs and establish the most efficient resource allocation across the distributed network. This combination aims to decrease fraud, heighten system efficiency, and streamline the administrative burden of medical record management.

Key takeaways

  • Soul-bound tokens create non-transferable, immutable credentials tied to medical records to enable partial data authentication.
  • Cloud computing reduces document verification time by enabling swift access to a decentralised database.
  • Deep learning algorithms are integrated into the blockchain system to optimise network resource allocation and lower platform costs.
  • The overall framework reduces fraud and improves efficiency compared to manual, centralised verification approaches.

Why it matters

Checking the authenticity of medical records usually requires slow manual checks against central databases, which can be vulnerable to fraud and errors. By linking records to non-transferable digital tokens on a secure blockchain, verification becomes faster, tamper-proof, and less expensive. This ensures that sensitive medical documentation remains trustworthy and easily accessible across health systems.

Commercialisation angle

The system could enable automated medical credentialing and fraud reduction tools for healthcare providers and database administrators. While it combines blockchain, soul-bound tokens, and deep learning into a functional mechanism, the abstract notes that scalability and broader cross-industry applications remain topics for future research. This places the technology at an early stage of development, requiring further scaling and testing prior to commercial deployment.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

The Crucial and costly process of verifying medical documents frequently depends on centralized databases. Nevertheless, manual validation of document verification wastes a great deal of time and energy. The application of Blockchain technology could potentially alleviate the problem by reducing fraud and increasing efficiency. Non-transferable Soul-bound tokens (SBTs) can be a safe and unbreakable way to authenticate medical records by generating encrypted code, which allows the user to authenticate a portion of data. Within the paper, we provide a blockchain-based SBT-based automatic mechanism for authentication and verification of records. Soul-bound tokens generate a decentralized, immutable identity or credential system that is tied to a record. Through cloud computing, the system can reduce the verification time by accessing a decentralized database. Blockchain systems can lower platform costs and determine the optimal allocation of resources across a dispersed network by utilizing deep learning algorithms. Two advantages of utilizing blockchain technology are less fraud and increased efficiency. SBTs and cloud computing enable the procedure to be expedited and decentralized databases to be readily available. The suggested system's scalability and potential uses in other industries may be the subject of future research.

Research topics

  • Blockchain Technology Applications and Security
  • Cloud Data Security Solutions
  • IoT and Edge/Fog Computing

Read the original research

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DOI: 10.1038/s41598-024-75708-3

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