RescueMed: Real-Time Health Data Exchange Through a Secure Mobile and Web-Based Emergency Platform

Perera D. T. M, Karunanayaka K. G, Jayasinghe L. S, Dissanayake N. A. K, Rathnasiri Y. K. A, Dilpriya T. A. H, Samaraweera K. S and Jagoda J. K. S. K
Additional contact information
Perera D. T. M: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Karunanayaka K. G: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Jayasinghe L. S: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Dissanayake N. A. K: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Rathnasiri Y. K. A: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Dilpriya T. A. H: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Samaraweera K. S: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.
Jagoda J. K. S. K: Department of Computer and Data Science, Faculty of Computing, NSBM Green University Town, Pitipana – Thalagala Road, Homagama, Sri Lanka.

International Journal of Research and Innovation in Social Science, 2025, vol. 9, issue 7, 1822-1831

Abstract: RescueMed is an innovative emergency medical communication system designed to enhance coordination between ambulances and hospitals in Sri Lanka, a setting where efficient emergency response is critical. The system integrates real time GPS tracking for ambulances, secure patient data transmission leveraging AES-256 encryption and Optical Character Recognition (OCR) for rapid data entry from identity documents. It features a Flutter-based mobile application for paramedics and a React-based web dashboard for hospital staff, connected via a Node.js backend with Firebase. Key technological advancements include robust data security protocols demonstrating 99.97 percent integrity, offline data caching for intermittent connectivity, and user-friendly interfaces. Artificial Intelligence (AI) prototypes for route prediction and patient triage recommendations are also being integrated. Evaluations at the National Hospital Colombo of Sri Lanka (NHSL) indicate a potential 42 percent reduction in triage to treatment time for critical patients and a 70.7 percent decrease in hospital resource preparation time. This paper details RescueMed’s design, implementation, evaluation, and its significant potential to improve emergency medical service outcomes in resource constrained environments.

Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... ssue-7/1822-1831.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... -emergency-platform/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:9:y:2025:issue-7:p:1822-1831

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().