The Health Emergency Identification and Response System: Revolutionizing Emergency Healthcare with AI and Biometrics

T. Kalaikumaran, S. Hemavarni, M. Kalaivani, K. Keerthana, S. Kaviya, S. Mathumitha

2025

Abstract

This health app leverages biometric registration via Aadhaar to enable fast and secure emergency identification. By storing comprehensive medical histories, including insurance details and emergency contacts, the app ensures that critical information is readily accessible. The app uses artificial intelligence (AI) to predict potential health issues and provide personalised lifestyle recommendations. Users maintain control over their data by generating unique access codes for specific information shared with healthcare providers. In emergencies, any app user can use the patient's fingerprint to alert hospitals, ambulances, blood banks, organ centres, and emergency contacts, ensuring a swift and coordinated response. Hospitals can update patients' status and requirements in real-time, allowing relevant centres to provide immediate assistance. This app offers a secure, efficient, and life-saving solution, enhancing the emergency response system.

Paper Citation

in Harvard Style

Kalaikumaran T., Hemavarni S., Kalaivani M., Keerthana K., Kaviya S. and Mathumitha S. (2025). The Health Emergency Identification and Response System: Revolutionizing Emergency Healthcare with AI and Biometrics. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 119-124. DOI: 10.5220/0013923700004919

in Bibtex Style

@conference{icrdicct`2525,
author={T. Kalaikumaran and S. Hemavarni and M. Kalaivani and K. Keerthana and S. Kaviya and S. Mathumitha},
title={The Health Emergency Identification and Response System: Revolutionizing Emergency Healthcare with AI and Biometrics},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={119-124},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013923700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - The Health Emergency Identification and Response System: Revolutionizing Emergency Healthcare with AI and Biometrics
SN - 978-989-758-777-1
AU - Kalaikumaran T.
AU - Hemavarni S.
AU - Kalaivani M.
AU - Keerthana K.
AU - Kaviya S.
AU - Mathumitha S.
PY - 2025
SP - 119
EP - 124
DO - 10.5220/0013923700004919
PB - SciTePress