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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66752
Volume:
10 |
8 |
Aug 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Department of Computer Science
Don Bosco Institue of Technology
Department of Computer Science
Don Bosco Institue of Technology
Department of Computer Science
Don Bosco Institue of Technology
Department of Computer Science
Don Bosco Institue of Technology
Department of Computer Science
Don Bosco Institue of Technology
Organ transplantation is a life-saving medical procedure, yet prevailing organ donation and allocation systems remain largely centralized, manually coordinated, and susceptible to data manipulation, opacity, and inefficient donor–recipient matching. This paper presents a blockchain-based organ transplantation management framework built on the Ethereum platform that employs smart contracts to automate donor and recipient registration, enforce role-based access control, and execute organ allocation according to predefined medical criteria such as blood-group compatibility, urgency, and waiting time. To overcome the scalability limitations of storing large medical records directly on-chain, the system adopts a hybrid storage architecture that combines the InterPlanetary File System (IPFS) for off-chain document storage with on-chain cryptographic hash references for integrity verification. A React.js-based web interface provides dedicated dashboards for donors, patients, and hospital administrators, integrated with MetaMask for cryptographic identity and transaction signing. We review recent literature on blockchain-enabled organ donation platforms, AI-assisted organ matching, blockchain-type risk perceptions in health-record systems, and smart-contract security, and position the proposed architecture relative to these efforts. A working prototype demonstrating donor registration, patient waitlist entry, and hospital oversight is presented, along with a discussion of gas-efficiency, scalability, and security considerations relevant to real-world deployment. The paper concludes with directions for future work, including AI-assisted matching and multi-institutional interoperability.
KEYWORDS
This paper proposed a blockchain-based organ transplantation management system that combines Ethereum smart contracts, IPFS-based hybrid storage, and a React.js/MetaMask frontend to address the transparency, security, and coordination shortcomings of conventional organ donation platforms. By reviewing seventeen recent studies spanning blockchain-based organ donation platforms, AI- and Random-Forest-assisted matching, CPRA/OPTN-based immunological scoring, broader healthcare-blockchain and EHR applications, blockchain-type risk analysis, Ethereum-versus-Hyperledger platform trade-offs, smart-contract vulnerability detection, and gas-cost optimization, the proposed system's architecture was positioned against a representative slice of the current literature, and a Phase-1 prototype covering donor registration, patient waitlist entry, and hospital oversight was outlined for planned implementation. Several directions are planned for future work: • Integrating a machine-learning-based matching layer, following approaches such as that of Kumar and Jeysankar, could complement the current rule-based scoring once sufficient de-identified training data becomes available [3]. • Migrating the deployment target from a local test network to a consortium or permissioned Ethereum-compatible network is recommended in light of the lower perceived regulatory and technical risk of such platforms for patient-record use cases [6]. • Subjecting the matching and storage contracts to automated, transformer-based vulnerability scanning prior to production deployment would align the project with current best practice in smart-contract security assurance [7]. • Extending the matching-logic module toward the internationally harmonized, points-based allocation schemes surveyed by Niyigena et al. would move the system closer to supporting cross-institution and potentially cross-border organ exchange [5]. • Replacing the current boolean blood-group check with a CPRA-weighted immunological score, following Gonuguntla et al.'s OPTN-metric formulation, would let the matching function distinguish "very high" from merely "high" compatibility pairs rather than treating all blood-group matches as equivalent [13]. • Given the Fabric-based prototype reported by Shrihari et al., a formal cost–benefit comparison between a Solidity/Ethereum deployment and a Hyperledger Fabric migration is warranted before selecting the Phase-2 production platform [16]. • Integrating the gas-waste detectors validated by Raza et al. into the project's CI pipeline would let every future contract revision be automatically screened for the address(this)-caching, division-by-uint, short-string, and redundant-casting patterns shown to affect the large majority of live Ethereum dApps [17].
[1] N. R. Kypu, B. K, D. V. Korla, V. Dwarakacharla, and S. V. K, "Blockchain-based Organ Donation System: A Decentralized Solution for Transparent and Secure Transplant Matching," in Proc. Int. Conf. Sustainable Communication Networks and Application (ICSCNA), 2024, pp. 439–443, doi: 10.1109/ICSCNA63714.2024.10864115. [2] D. Divya Priya, M. Naga Sreeya, A. Sanjana, P. Sarayu, and M. Kista Swamy, "Revolutionizing Organ Allocation: A Blockchain Approach to Transparency and Security," in Proc. Int. Conf. Advancements in Smart, Secure and Intelligent Computing (ASSIC), 2025, doi: 10.1109/ASSIC64892.2025.11158574. [3] Kumar P and Jeysankar N, "Synergistic Revolution with AI-Enabled Organ Matching and Blockchain Security in Transplantation Management," in Proc. 2nd Int. Conf. Advances in Information Technology (ICAIT), 2024, doi: 10.1109/ICAIT61638.2024.10690290. [4] S. Nekkalapudi, R. K. Mishra, and M. Pandey, "Blockchain-Based Healthcare Outcome Improvement: A Decentralized Method of Patient Care," in Proc. First Int. Conf. Data, Computation and Communication (ICDCC), 2024, pp. 546–550, doi: 10.1109/ICDCC62744.2024.10961792. [5] C. Niyigena, S. Seol, and A. Lenskiy, "Survey on Organ Allocation Algorithms and Blockchain-based Systems for Organ Donation and Transplantation," in Proc. Int. Conf. Information and Communication Technology Convergence (ICTC), 2020, pp. 173–178, doi: 10.1109/ICTC49870.2020.9289421. [6] H. E. Said, N. B. Al Barghuthi, S. M. Badi, F. Hashim, and S. Girija, "Blockchain Types in Patient Health Records Systems: An Analysis of Risk Perceptions," in Proc. 6th Int. Conf. Blockchain Computing and Applications (BCCA), 2024, pp. 340–346, doi: 10.1109/BCCA62388.2024.10844462. [7] T. -T.-H. Le, J. Kim, S. Lee, and H. Kim, "Robust Vulnerability Detection in Solidity-Based Ethereum Smart Contracts Using Fine-Tuned Transformer Encoder Models," IEEE Access, vol. 12, pp. 154700–154717, 2024, doi: 10.1109/ACCESS.2024.3482389. [8] P. Singh, V. K. Kushwaha, S. Gupta, B. Sharan, and M. K. Singh, "A Decentralized Healthcare Records Management System built with Solidity Smart Contracts and React," in Proc. Int. Conf. Intelligent Computing, Networks, and Security (IC-ICNS), 2026, doi: 10.1109/ICICNS68863.2026.11537788. [9] K. Sharma, N. Kumar, and R. K. Kaushal, "Blockchain in Healthcare: Pioneering Transformative Approaches," in Proc. IEEE 11th Uttar Pradesh Section Int. Conf. Electrical, Electronics and Computer Engineering (UPCON), 2024, doi: 10.1109/UPCON62832.2024.10983842. [10] P. Srilatha, K. Siri Reddy, A. Sruthi Reddy, D. Kedhar, and M. Bhavana, "Organ Connect: A Digital Platform for Organ Donation and Transplantation," in Proc. 3rd Int. Conf. Innovative Mechanisms for Industry Applications (ICIMIA), 2023, pp. 853–860, doi: 10.1109/ICIMIA60377.2023.10426416.
Publication Date
8/14/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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