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A Blockchain-based Patient-Centric Electronic Health Record System with Secure IPFS Storage and Machine Learning-Driven Health Analytics

by Aryan Deepak Saraf, Ganesh Sanjay Pandhre, Vivek Sachchelal Gupta, Yash Shivdas Naikwadi, Anushree Prabhu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 100
Year of Publication: 2026
Authors: Aryan Deepak Saraf, Ganesh Sanjay Pandhre, Vivek Sachchelal Gupta, Yash Shivdas Naikwadi, Anushree Prabhu
10.5120/ijca4331554ef4b9

Aryan Deepak Saraf, Ganesh Sanjay Pandhre, Vivek Sachchelal Gupta, Yash Shivdas Naikwadi, Anushree Prabhu . A Blockchain-based Patient-Centric Electronic Health Record System with Secure IPFS Storage and Machine Learning-Driven Health Analytics. International Journal of Computer Applications. 187, 100 ( Apr 2026), 47-51. DOI=10.5120/ijca4331554ef4b9

@article{ 10.5120/ijca4331554ef4b9,
author = { Aryan Deepak Saraf, Ganesh Sanjay Pandhre, Vivek Sachchelal Gupta, Yash Shivdas Naikwadi, Anushree Prabhu },
title = { A Blockchain-based Patient-Centric Electronic Health Record System with Secure IPFS Storage and Machine Learning-Driven Health Analytics },
journal = { International Journal of Computer Applications },
issue_date = { Apr 2026 },
volume = { 187 },
number = { 100 },
month = { Apr },
year = { 2026 },
issn = { 0975-8887 },
pages = { 47-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number100/a-blockchain-based-patient-centric-electronic-health-record-system-with-secure-ipfs-storage-and-machine-learning-driven-health-analytics/ },
doi = { 10.5120/ijca4331554ef4b9 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-04-30T21:45:10.256725+05:30
%A Aryan Deepak Saraf
%A Ganesh Sanjay Pandhre
%A Vivek Sachchelal Gupta
%A Yash Shivdas Naikwadi
%A Anushree Prabhu
%T A Blockchain-based Patient-Centric Electronic Health Record System with Secure IPFS Storage and Machine Learning-Driven Health Analytics
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 100
%P 47-51
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The electronic health record (EHR) has been an indispensable tool for healthcare organizations in recent years. However, problems remain associated with EHRs, including fragmented data storage, security vulnerabilities, and limited patient control over personal health information. In this paper, MedLink, a blockchain-powered health record management system, is proposed to provide safe and efficient management of patients’ medical data. The system adopts blockchain architecture to grant access permissions via smart contracts, with encrypted health records being stored externally by using the InterPlanetary File System (IPFS). In addition to security and access permission mechanisms, MedLink incorporates customized machine learning (ML) algorithms to analyze medical data and conduct early diagnosis for diseases such as diabetes, heart conditions, and cancers. Different from the purely general-purpose artificial intelligence generation (AI) model, the proposed method concentrates on creating a customized ML model specifically for particular tasks using existing medical data sources. Experiments have been conducted to evaluate the prototype, revealing promising results regarding data integrity, traceability, and analytical capabilities.

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Index Terms

Computer Science
Information Sciences

Keywords

Blockchain Electronic Health Records Decentralized Storage IPFS Smart Contracts Machine Learning Healthcare Data Security Patient-Centric Systems

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