HEALTHLINK-Enhancing Access to Medical Information and Securing It
Abstract
During critical emergencies, failure to access a patient’s medical history can lead to hazardous delays, redundant tests, and added healthcare expenses. These gaps in medical information make it difficult for healthcare providers to provide timely and accurate care, ultimately affecting patient outcomes. HealthLink is a blockchain platform designed to solve this problem by providing a secure and decentralized way of storing and sharing patient medical records. Using IPFS and Pinata for decentralized storage and employing sophisticated encryption methods, HealthLink keeps sensitive medical information confidential and only accessible to authorized staff. Authenticated hospitals, approved by a government-appointed administrator, can safely access and modify patient records using biometric scans, like fingerprint identification, or NFT-based identity cards. This enables hospitals to rapidly access a patient’s medical history in emergency situations, minimizing the requirement for repeated tests, accelerating diagnosis, and enhancing treatment outcomes. Moreover, HealthLink has an interactive map that allows users to simply find and book appointments at nearby verified hospitals and testing facilities. This feature makes it easier for patients who need urgent care to be connected with the right resources in a timely manner. Through the facilitation of accessibility, sharing, and security of medical information, HealthLink seeks to revolutionize healthcare systems. The platform not only enhances patient outcomes and care but also builds higher levels of trust between patients and healthcare professionals. With HealthLink, we envision a future when healthcare is more efficient, quicker, and personalized cases.
Keywords:
HealthLink, IPFS, Pinata, NFT-based identity cards, fingerprint identificationPublished
Issue
Section
License
Copyright (c) 2025 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Layana S Pradeep, Milen Ninan Ittiyeipe, Shahina S, Soumya A S, Ojus Thomas Lee , Gayathri Mohan, A REVIEW OF LOAD ESTIMATION AND DISTRIBUTION STRATEGY FOR RENEWABLE ENERGY SOURCES , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Ethen Biju, Chris Mathew, Alina Ann Joseph, Diya Kalyan, Ria Mathews, DaceStudio: AI-Driven Code Editing for Next-Gen Software Development , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Emmanuel J Jose, Fidha Fathima N S, Gautham Babu, Liya Latheef, Shanthi N.M, AUDIONYX: REAL-TIME DETECTION OF AUDIO DEEPFAKES IN PHONE CALLS , International Journal on Emerging Research Areas: Vol. 6 No. 1 (2026): IJERA
- Jyothis Joseph , Ajay K Baiju, Ganga Binukumar, Akshara Manoj, Sandra Elizabeth Rony, A Crowd Monitoring and Real-Time Tracking System using CNN , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Lakshmy Suresh K , Joanna Danniel, Mariya Binoy, R Neenu, BookVerse: A Platform for Book Reviews and Resale , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aman M Hafees, Aman Yunus, Aashish Tom Raju , Agnus Roy, Ansamol Varghese, PowerPath: A Mobile Application for Transformer Monitoring and Maintenance , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Sandra Saji, Melbin Mathew, Angel Mariya S, Amrutha Mugesh, Jincy Lukose, MACHINE LEARNING FOR DETECTION AND PREDICTION OF TOMATO LEAF DISEASES , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Lakshmi Nandana, Mariyam Emamudeen, Nikitha Mary Varghese, Susan Andrews, Manoj T Joy, FaceVue: A Review For Dynamic Advertising And Cost Management System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- NITHYA M V, ADIL SIYAD K.M, AFINSHA P.B, GAUTHAM T.S, ABHIJITH K.P, SALIH SUDHEER, ARJUN SANKAR R.S, C.S ADHITHYAN, JEWELLERY SHOPPING WITH FACIAL RECOGNITION , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Aashish Tom Raju, Aneesh Varghese John, Ashish Shabu, Bibin Babu, Anishamol Abraham, Vision-Based Surveillance for Malpractice Detection: An Analysis of Pose Estimation and Object Detection , International Journal on Emerging Research Areas: Vol. 6 No. 2 (2026): IJERA
You may also start an advanced similarity search for this article.
