Blockchain-Enabled EMR Protection: A Smart Contract and IPFS-Based Architecture

The exponential growth in digital healthcare infrastructure has resulted in an overwhelming increase in sensitive medical data generation. However, traditional centralized Electronic Medical Records (EMR) systems continue to face critical security and privacy challenges. These include single points of failure, limited interoperability, data tampering, and unauthorized access. This paper introduces a robust and scalable blockchain-based framework for secure EMR management. Leveraging Ethereum blockchain, IPFS decentralized storage, and smart contracts, the framework ensures tamper-proof data logging and fine-grained access control. The system stores encrypted patient health records on IPFS and logs the corresponding content identifier (CID) on the Ethereum blockchain, eliminating the risk of data exposure. The architecture is designed for future compatibility with Mobile Edge Computing (MEC), allowing for faster data processing closer to the point of care. By offering immutable audit trails, decentralized access governance, and high availability, the proposed framework ensures transparency, security, and data ownership for all healthcare stakeholders.

Authors

Institutions

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-08-07
DOI
https://doi.org/10.22214/ijraset.2025.73559
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Blockchain-Enabled EMR Protection: A Smart Contract and IPFS-Based Architecture

V Manideep
3 links
International Journal for Research in Applied Science and Engineering Technology
Blockchain Technology Applications and Security
article

Blockchain-Enabled EMR Protection: A Smart Contract and IPFS-Based Architecture

V Manideep
article en

Abstract

The exponential growth in digital healthcare infrastructure has resulted in an overwhelming increase in sensitive medical data generation. However, traditional centralized Electronic Medical Records (EMR) systems continue to face critical security and privacy challenges. These include single points of failure, limited interoperability, data tampering, and unauthorized access. This paper introduces a robust and scalable blockchain-based framework for secure EMR management. Leveraging Ethereum blockchain, IPFS decentralized storage, and smart contracts, the framework ensures tamper-proof data logging and fine-grained access control. The system stores encrypted patient health records on IPFS and logs the corresponding content identifier (CID) on the Ethereum blockchain, eliminating the risk of data exposure. The architecture is designed for future compatibility with Mobile Edge Computing (MEC), allowing for faster data processing closer to the point of care. By offering immutable audit trails, decentralized access governance, and high availability, the proposed framework ensures transparency, security, and data ownership for all healthcare stakeholders.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(8)
Jawaharlal Nehru Technological University, Kakinada (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 69%
Blockchain Technology Applications and Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Blockchain-Enabled EMR Protection: A Smart Contract and IPFS-Based Architecture — V Manideep · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS