Low Latency based Smart Ambulance Model in Emergency Healthcare
Emergency Medical Services; Internet of Things; Real time monitoring system; Resource Allocation; Response Time; Smart Ambulance; Telemedicine
Smart ambulance represents a significant evolution in emergency healthcare,using most advance and innovative new devices, machine and techniques to improve and create new opportunities by the help of engineering methods or any formula or scientific principles to offer solutions to the limitation of traditional emergency medical services. This work focuses on the combination of Artificial Intelligence, IoT, Telemedicine and real time monitoring system to ameliorate response time, enhance patient care and optimize resource allocation in smart ambulance. By examining the performance of smart ambulance compared to traditional ones ,the research emphasize their ability and focuses on strategies to navigate challenges such as traffic congestion, communication delays and inefficient decision making ,and suggest relevant ways to resolve the issue. The result showed a positive and steady increase in the performance of smart ambulance in ensuring faster, more efficient and higher quality of emergency medical services. This paper emphasizes breakthrough ability of smart ambulance system in improving in emergency healthcare outcome and build a bedrock for their wider usages in the medical field. 2025 IEEE.
Srivastava, Nistha; Srivastava, Shivam; Singh, Rishabh; Sharma, Vandana; Kiran, Ajmeera; Mishra, Sushruta
2025 International Conference on Artificial Intelligence and Machine Vision, AIMV 2025;
Institute of Electrical and Electronics Engineers Inc.
Restricted Access; Hardcopy may be available in the library
https://doi.org/10.1109/AIMV66517.2025.11203377 https://www.scopus.com/pages/publications/105021814491?origin=resultslist
Srivastava N., Deemed to Be University, School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Srivastava S., Deemed to Be University, School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Singh R., Deemed to Be University, School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India; Sharma V., CHRIST University, Computer Science Department, Bengaluru, India; Kiran A., MLR Institute of Technology, Department of Computer Science and Engineerigng, Hyderabad, India; Mishra S., Deemed to Be University, School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India