The Emergency Medical Services for Real Time Patient Monitoring and Pre-Hospital Communication System with Medically Equipped Ambulance Vehicle
Keywords:
Disease prediction, Emergency care, Health informatics, Hospital coordination, Real-time data, Vital signsAbstract
Intervention on time during medical emergencies is critical to improving patient outcomes. This paper introduces a real-time patient monitoring and pre-hospital communication system installed in ambulances, designed to minimize response time. The solution includes a web-based application that allows paramedics to manually capture and transmit vital patient information, such as ECG, body temperature, heart rate, and basic demographics. The system also features a disease prediction component that analyzes the symptoms entered by the paramedic while in transit. All collected data is sent to nearby hospitals, allowing them to assess the patient's condition and prepare their resources accordingly. Based on feedback from the hospital regarding available facilities, the most appropriate hospital is selected for patient admission. This system ensures that medical teams are adequately prepared before the patient's arrival, enhancing emergency care preparedness. By combining real-time manual data entry with smart hospital coordination, the system maximizes the effectiveness of pre-hospital medical intervention, leading to faster and more informed treatment decisions. The results demonstrate that the system significantly reduces response times and improves hospital readiness, suggesting its potential to revolutionize emergency medical care.
References
S. Sharma, P. Sahoo and S. K. Oza, "Real-Time Patient Monitoring System," International Journal of All Research Education and Scientific Methods, vol. 9, no. 5, pp. 34–40, May 2021, Available: https://www.researchgate.net/publication/362862167_Real_Time_Patient_Monitoring_System
H. Schröder., S. Beckers, C. Borgs, A. Sommer, “Long-term effects of a prehospital telemedicine system on structural and process quality indicators of an emergency medical service,” Scientific Reports, vol. 14, no. 1, Jan. 2024, doi: https://doi.org/10.1038/s41598-023-50924-5.
R. Sonkin, E. Jaffe, O. Wacht, H. Morse, and Y. Bitan, “Real-time video communication between ambulance paramedic and scene – a simulation-based study,” BMC Health Services Research, vol. 22, no. 1, Aug. 2022, doi: https://doi.org/10.1186/s12913-022-08445-w.
J. S. Su and E. Quinn, “EMS Telemedicine in the Prehospital Setting,” StatPearls, Feb. 2023, Available:https://pubmed.ncbi.nlm.nih.gov/37983364/
A. Ayesha and K. Chakravarthi, “Smart Ambulances for IoT Based Accident Detection, Tracking and Response,” Journal of computer science, vol. 19, no. 6, pp. 677–685, Jun. 2023, doi: https://doi.org/10.3844/jcssp.2023.677.685.
H. Y. K. Ko, N. K. Tripathi, C. Mozumder, S. Muengtaweepongsa, and I. Pal, “Real-Time Remote Patient Monitoring and Alarming System for Noncommunicable Lifestyle Diseases,” International Journal of Telemedicine and Applications,. 2023, p. e9965226, Nov. 2023, doi: https://doi.org/10.1155/2023/9965226.
Johns Hopkins Medicine, “Vital signs (body temperature, pulse rate, respiration rate, blood pressure),” Johns Hopkins Medicine Health Library, 2025. https://www.hopkinsmedicine.org/health/conditions-and-diseases/vital-signs-body-temperature-pulse-rate-respiration-rate-blood-pressure
N. A. Azmin, N. S. Abdullah, N. Z. Faiza, Ahmad, N. R. Akhbar, and W. Mohd, “A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor,” Journal of Advanced Research in Applied Sciences and Engineering Technology, vol. 33, no. 2, pp. 85–97, Nov. 2023, doi: https://doi.org/10.37934/araset.33.2.8597.
S. B. Bharatharam, M. Dhayalini, V. Gowthamram, and Dr. P. Suresh, “Adaptive Ambulance Management System,” International Research Journal on Advanced Engineering Hub (IRJAEH), vol. 2, no. 05, pp. 1166–1173, May 2024, doi: https://doi.org/10.47392/irjaeh.2024.0160
A. Geetanjali, T. Sirohi, E. Singh, and A. Kumar, “Revolutionizing Emergency Medical Services: A Review of Ambulance Technology Advancements and Service Enhancement Strategies,” 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT), pp. 1–7, Aug. 2024, doi: https://doi.org/10.1109/iceect61758.2024.10738996.
P. Kakria, N. K. Tripathi, and P. Kitipawang, “A Real-Time Health Monitoring System for Remote Cardiac Patients Using Smartphone and Wearable Sensors,” International Journal of Telemedicine and Applications. 2015, pp. 1–11, 2015, doi: https://doi.org/10.1155/2015/373474.
M. Taştan, “IoT Based Wearable Smart Health Monitoring System,” Celal Bayar Üniversitesi Fen Bilimleri Dergisi, pp. 343–350, Sep. 2018, doi: https://doi.org/10.18466/cbayarfbe.451076.
