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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66752

Blockchain-Based Organ Transplantation: A Decentralized Framework for Secure Donor–Recipient Management Using Ethereum Smart Contracts and IPFS

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66752

Volume:

10 |

8 |

Aug 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66752

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.

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Authors

RDM

Rashmi D M

Department of Computer Science

Don Bosco Institue of Technology

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JN

Jaishree N

Department of Computer Science

Don Bosco Institue of Technology

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RS

Rishika Sujay

Department of Computer Science

Don Bosco Institue of Technology

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KM

Kusuma M

Department of Computer Science

Don Bosco Institue of Technology

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YS

Yahaswini S

Department of Computer Science

Don Bosco Institue of Technology

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Abstract

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

Blockchain Ethereum Smart Contracts Solidity Organ Transplantation IPFS Decentralized Application Healthcare Security

Cite This Article

Rashmi D M, Jaishree N, Rishika Sujay, Kusuma M, Yahaswini S, "Blockchain-Based Organ Transplantation: A Decentralized Framework for Secure Donor–Recipient Management Using Ethereum Smart Contracts and IPFS," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-7, Aug 2026. https://doi.org/10.55041/IJSREM66752

Full Article/Conclusion

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].

References

[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.

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Publication Date

8/14/2026

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Double-Blind Peer Review

Review Rounds: 2

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