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
- Linsa Mathew, Jifith Joseph, George P Kurias, Gokul Krishna A U, Sharunmon R, TraceFusion: Precision AI for Missing and Wanted Person Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Ansamol Varghese, Anandhu Anoj, Emil Thomas, Deepta K Sunny, Angel Thomas, TrueNews: AI Powered Detection of Manipulated Text and Images , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Selin Sam, Ameen Shouketh, Eby Jo, Jithin Russel, Joyal Anto, Muhammed Nihal K, Animal Detection Using Footprint , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- K.M Gishma, K.B Annmaria , V.N Ramna Parvan , Anagha Suresh, Athira Shaji, LIP READING AND PREDICTION SYSTEM BASED ON DEEP LEARNING , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Fabeela Ali Rawther, Abhinay A K, Anagha Tess B, Alan Joseph, Adham Saheer, Survey of Machine Learning and Deep Learning Approaches for Automated Hate Speech Detection and Sentiment Analysis in Multilingual Contexts , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Aksa Ann Jacob, Midhun P Mathew, Adarsh S, Aaron Tom Viji, Aleena Varghese, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- George P Kurias, Gokul Krishna AU, Jifith Joseph, Sharunmon R, Linsa Mathew, A Review of Methodologies for Detecting Missing and Wanted People Using Machine Learning and Video Surveillance , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Thomas Mathew Jose, Mathew Abraham, Sebastian Biju , Samuel Michael , Minu Cherian , Canine Dermal Analyser: Harnessing Artificial Intelligence and Deep Learning to Revolutionize Canine Skin Disease Detection , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- P S Aswin, Archana Madhusudhanan , Athulya Sajeev, Neeha Moideen , C R Suhail, Revolutionizing Football Management: A Data-Driven Approach with Random Forest Regressor , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Devasangeeth A J, Athul MS, Madhav K Vinod, Basil Byju, Seon saju, Amarnadh K S, Angelo joseph, Rohith PM, Hima AU, SMART VEHICLE RENTAL SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
You may also start an advanced similarity search for this article.
