Blockchain-Enabled Decentralized Trustworthy Framework Envisioned for Patient-Centric Community Healthcare

Ethereum has gained significant attention from businesses as a blockchain technology since its conception. Beyond the first use of cryptocurrencies, it provides many additional features. In the pharmaceutical sector, where reliable supply chains are necessary for cross-border transactions, Ethereum shows promise. It addresses problems through quality, traceability, and transparency in a place defined by complexity and strong laws because of its decentralized structure. As a result, this study looks at how Ethereum is used in the pharmaceutical sector, namely the networks that allow smart contracts to communicate with one another on the Ethereum network. The above concepts are formulated via communication networks, inter-contract owner interactions, and simulation analysis, which seeks to identify dubious practices and unjust contracts inside the supply chain. The study suggests effective manufacturing techniques that call for reduction rather than storage to technological obstacles. With this endeavor, we hope to provide insights into Ethereum-based contract ecosystems and assist in anomaly identification for enhanced security and transparency. The main objective is to support patient record methodology and transform the way healthcare data is managed. The suggested model integrates front-end interfaces, back-end optimization, distributed storage, proof-of-work techniques, and training to establish a safe and efficient ecosystem for healthcare data. These elements can be combined through the blockchain-enabled architecture to transform manufacturing-protecting chemicals in handling, distribution, and necessary training.

@article{Rahmani2024,
  title     = {Blockchain-Enabled Decentralized Trustworthy Framework Envisioned for Patient-Centric Community Healthcare},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {15},
  number    = {6},
  year      = {2024},
  publisher = {The Science and Information Organization},
  author    = {Mohammad Khalid Imam Rahmani and Javed Ali and Surbhi Bhatia Khan and Muhammad Tahir},
  doi       = {10.14569/IJACSA.2024.01506128},
  url       = {https://doi.org/10.14569/IJACSA.2024.01506128}
}