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
- Jesvin Jelson , Kesiya Rachel Johns, Mehak , Ken Jacob Zachariah, Neenu R, Custom Cart – Virtual try-on in e-commerce platforms using generative AI , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Arun Robin, Tijo Thomas Titus, Ms. Minu Cherian, Improved Handwritten Digit Recognition Using Deep Learning Technique , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- S Adithyakrishnan, U Anjukrishna, Rohith Manuel Philip, P Careena, A Comprehensive Review on Diagnosis and Classification of Various Respiratory Diseases , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jane George, A study on Multiple-Instance GPU, Evolution, Architecture and Applications , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Rosamma Sebastian, Devika V Shaji, Brijesh Emmanuel , Jack Jim, A Review Paper On Microstrip Patch Antenna , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- M Sreedharsh, S Saurav, Albin Joseph, Sravan Chandran , Lida K Kuriakose, Childhood Epilepsy Syndrome Classification through a Deep Learning Network with Clinical History Integration , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amarnath C, Adarsh P Kurian, Fabeela Ali Rawther, Adarsh K Sundaresan, Adarsh Suresh, INTELLI TRAFFIC MANAGEMENT SYSTEM , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Joel Jones, Kochupurayil Ryan George, Jai Joseph, Joyal Joseph, Jayakrishna V, A STUDY ON DISEASE DETECTION AND REMEDY IDENTIFICATION IN LEAVES , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Muhammed Saalim O.S, Fathima Parvin M.A, Albiya Hameed, Hiba Fathima T.S, Amritha Soloman, AGRISEN Precise irrigation System and Smart health monitoring system , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.
