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1724499 Vol 10 · Issue 4 Download Paper

An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System

Priyank Nagori Abhijeet Raskar Rutuja Patil Sachin Rathod Prof. Ashwini Garkhedkar

Subject area: Science,Engineering and Technology  ·  Area of research: Emergency Services

Abstract

Emergency medical response is time-sensitive, and delays in locating the patient, assigning an ambulance, and coordinating with a receiving hospital can directly affect patient outcomes. This paper presents RAAH Connect, an integrated emergency ambulance response, tracking, and hospital coordination prototype. The system comprises four purpose-built components: a Patient Android application (Kotlin/Jetpack Compose) for SOS initiation and real-time ambulance tracking on a live map; a Driver Android application (Kotlin/Jetpack Compose) for emergency offer management, step-by-step dispatch workflow, foreground GPS telemetry, and siren-alert notifications; a Dispatcher web dashboard (React 19/TypeScript/Vite) for fleet monitoring, emergency coordination, and hub management; and a trusted server-authoritative backend of Firebase Cloud Functions (Node.js) that handles nearest-driver ranking, atomic claim/decline transactions, and cascade dispatch. Google Firebase (Firestore, Realtime Database, Authentication, Cloud Messaging) provides the shared cloud data layer. The prototype demonstrates an end-to-end emergency workflow from patient SOS to ambulance arrival and hospital coordination in a single integrated digital system. System limitations and directions for future work are discussed.

Keywords

Ambulance Tracking; Android; Cloud Functions; Emergency Dispatch; Emergency Medical Services; Firebase; Foreground Service; Hospital Coordination; Jetpack Compose; Location-Based Services; React; Real-Time Database

References

[1] World Health Organization. Prehospital emergency care: Operational guidance for ambulance systems. Geneva: WHO; 2025.

[2] World Health Organization. WHO Emergency Care System Framework. Geneva: WHO; 2018.

[3] Shetab-Boushehri SN, Rajabi P, Mahmoudi R. Modeling location–allocation of emergency medical service stations and ambulance routing problems considering the variability of events and recurrent traffic congestion: A real case study. Healthcare Analytics. 2022;2:100048. https://doi.org/10.1016/j.health.2022.100048

[4] Chou CC, Chiang WC, Chen AY. Emergency medical response in mass casualty incidents considering the traffic congestions in proximity on-site and hospital delays. Transportation Research Part E: Logistics and Transportation Review. 2022;158:102591. https://doi.org/10.1016/j.tre.2021.102591

[5] Lee S. The role of hospital selection in ambulance logistics. IIE Transactions on Healthcare Systems Engineering. 2014;4(2):105–117. https://doi.org/10.1080/19488300.2014.914608

[6] Cao M, Shuai Q, Li VOK. Emergency vehicle-centered traffic signal control in intelligent transportation systems. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC). 2019. p. 4525–4531. https://doi.org/10.1109/ITSC.2019.8916879

[7] Kanimozhi T, Kishore Reddy GRV, Rahul Kumar N. IoT-based smart signal system for traffic density management and emergency vehicle priority. In: 2024 International Conference on Intelligent Systems and Advanced Applications (ICISAA). Pune, India; 2024. https://doi.org/10.1109/ICISAA62385.2024.10828938

[8] World Health Organization. Prehospital toolkit. Geneva: WHO [cited 2026 Oct 8].

[9] World Health Organization. Prehospital trauma care systems. Geneva: WHO; 2005.

[10] Jana A, Sarkar A, Parmar V, Saunik S. Examining district-level disparity and determinants of timeliness of emergency medical services in Maharashtra, India. Scientific Reports. 2023;13:21239. https://doi.org/10.1038/s41598-023-48713-1

[11] Ayyan MS, et al. Developing a high-quality patient-centric integrated model for emergency care system in selected districts of India: An implementation research protocol (INDIA-EMS Study). PLOS ONE. 2025;20(9):e0331290. https://doi.org/10.1371/journal.pone.0331290

How to cite this paper

Priyank Nagori, Abhijeet Raskar, Rutuja Patil, Sachin Rathod, Prof. Ashwini Garkhedkar "An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System" Iconic Research And Engineering Journals Volume 10 Issue 4 2026 Page 4770-4779
Priyank Nagori, Abhijeet Raskar, Rutuja Patil, Sachin Rathod, Prof. Ashwini Garkhedkar "An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026
Priyank Nagori, Abhijeet Raskar, Rutuja Patil, Sachin Rathod, Prof. Ashwini Garkhedkar (2026). An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System. Iconic Research And Engineering Journals, 10(4).
Priyank Nagori, Abhijeet Raskar, Rutuja Patil, Sachin Rathod, Prof. Ashwini Garkhedkar "An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System" Iconic Research And Engineering Journals, vol. 10, no. 4, Oct. 2026.
@article{1724499,
      author = {Priyank Nagori, Abhijeet Raskar, Rutuja Patil, Sachin Rathod, Prof. Ashwini Garkhedkar},
      title = {An Integrated Emergency Ambulance Response, Tracking and Hospital Coordination System},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {4},
      pages = {4770-4779},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1724499.pdf},
      abstract = {Emergency medical response is time-sensitive, and delays in locating the patient, assigning an ambulance, and coordinating with a receiving hospital can directly affect patient outcomes. This paper presents RAAH Connect, an integrated emergency ambulance response, tracking, and hospital coordination prototype. The system comprises four purpose-built components: a Patient Android application (Kotlin/Jetpack Compose) for SOS initiation and real-time ambulance tracking on a live map; a Driver Android application (Kotlin/Jetpack Compose) for emergency offer management, step-by-step dispatch workflow, foreground GPS telemetry, and siren-alert notifications; a Dispatcher web dashboard (React 19/TypeScript/Vite) for fleet monitoring, emergency coordination, and hub management; and a trusted server-authoritative backend of Firebase Cloud Functions (Node.js) that handles nearest-driver ranking, atomic claim/decline transactions, and cascade dispatch. Google Firebase (Firestore, Realtime Database, Authentication, Cloud Messaging) provides the shared cloud data layer. The prototype demonstrates an end-to-end emergency workflow from patient SOS to ambulance arrival and hospital coordination in a single integrated digital system. System limitations and directions for future work are discussed.},
      keywords = {Ambulance Tracking; Android; Cloud Functions; Emergency Dispatch; Emergency Medical Services; Firebase; Foreground Service; Hospital Coordination; Jetpack Compose; Location-Based Services; React; Real-Time Database},
      month = {October},
  }