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September 10, 2025International Journal of Research and Innovation in Social Science0 citations

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

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PMPerera D. T. MKGKishore Kumar Reddy N. G.JSJ. L. S.

Key Points

  • Emergency medical communication can enhance coordination between ambulances and hospitals, ultimately saving lives.
  • Real-time GPS tracking and AES-256 encryption enhance data security and operational efficiency in emergencies.
  • Artificial Intelligence prototypes for route prediction and patient triage improve the overall emergency response.
  • Evaluations indicate a potential 42% reduction in triage to treatment time and a 70.7% decrease in resource preparation time.

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.

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Cite This Study

M et al. (2025) studied this question.

synapsesocial.com/papers/68c1b34d54b1d3bfb60e9a72https://doi.org/10.47772/ijriss.2025.907000149
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