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

Author

Listed:
  • 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.)

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.

Suggested Citation

  • 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 & Jagoda J. K. S. K, 2025. "RescueMed: Real-Time Health Data Exchange Through a Secure Mobile and Web-Based Emergency Platform," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 9(7), pages 1822-1831, July.
    • Handle: RePEc:bcp:journl:v:9:y:2025:issue-7:p:1822-1831
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