Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS

December 2025
Vol-11, Issue-6
Paper ID: 27806
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
Information Science and Engineering
Keywords
blockchain healthcare smart contracts Solidity decentralized applications Ethereum IPFS Web3
Abstract
The healthcare industry faces significant challenges in data management, interoperability, and security. This paper presents a decentralized medical health management system powered by blockchain technology and smart contracts. Our system leverages Solidity-based smart contracts deployed on the Ethereum blockchain to enable secure doctor-patient interactions, prescription management, medicine marketplace, and appointment booking. The DApp integrates Next.js frontend framework with Web3 providers and IPFS for distributed data storage. Our implementation demonstrates a comprehensive healthcare ecosystem that ensures data integrity, transparency, and patient privacy while reducing intermediaries. The system manages multiple user roles including patients, doctors, administrators, and maintains cryptographic verification of all transactions. Experimental results show improved data security and system efficiency in healthcare service delivery.

Author Information

# Name Institute / Affiliation
1 Varun V RajaRajeswari College Of Engineering
2 Suhas R RajaRajeswari College Of Engineering
3 Santhosh Kumar H M RajaRajeswari College Of Engineering
4 Sathvik S RajaRajeswari College Of Engineering
5 Mr Dineshkumar M RajaRajeswari College Of Engineering

How to Cite

Use the following formats to cite this article in your research.

APA Style
V, Varun, R, Suhas, M, Santhosh Kumar H, S, Sathvik, & M, Mr Dineshkumar (2025). Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 1391-1398.
MLA Style
V, Varun, et al. "Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 1391-1398.
IEEE Style
Varun V, Suhas R, Santhosh Kumar H M, Sathvik S, and Mr Dineshkumar M, "Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 1391-1398, 2025.
Vancouver Style
V Varun, R Suhas, M Santhosh Kumar H, S Sathvik, M Mr Dineshkumar. Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):1391-1398.
Harvard Style
V, Varun, R, Suhas, M, Santhosh Kumar H, S, Sathvik, & M, Mr Dineshkumar (2025) 'Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 1391-1398.
Chicago Style
V, Varun, et al. "Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 1391-1398.
Turabian Style
V, Varun, et al. "Blockchain-Based Decentralized Medical Health Management System using Smart Contracts and IPFS." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 1391-1398.

Export Citation

Related Research

CYBERSECURITY WITH AI
SAHANA MURTHY 2026 Computer Science
PDF Unavailable
A NOVEL HYBRID IMAGE STEGANOGRAPHY TECHNIQUE BASED ON LSB AND CRYPTOGRAPHIC SECURITY
Pankaj Nandan et al. 2026 Computer Science
PDF Unavailable
AnimalAid AI: A Deep Learning Powered Early Warning System for Detecting Skin Infections and Diseases in Stray Dogs
Sharan Subhas Savalagi et al. 2026 Computer Science and Engineering
PDF Unavailable
LiverCare AI: Intelligent Medical Imaging Platform for Liver Tumor Detection and Clinical Guidance
Sheshank et al. 2026 Computer Science and Engineering
PDF Unavailable