Volume : 11, Issue : 10, October – 2024
Title:
INTEGRATING ARTIFICIAL INTELLIGENCE INTO AMBULANCE DISPATCH SYSTEMS: A CASE STUDY APPROACH
Authors :
Abdullah Abdulaziz Enaitullah Alharbi, Mohammed Abdulaziz Enaitullah Alharbi, Abdulrahman Naif Alharbi, Yasir Salem Mohammed Alharbi, Salman Salem Menwer Alharbi, Bandar Mubarak Alharbi
Abstract :
Integrating artificial intelligence (AI) into ambulance dispatch systems has the potential to revolutionize emergency medical services by enhancing response times, optimizing resource allocation, and improving patient outcomes. This article explores the application of AI technologies, such as machine learning, natural language processing, and real-time data analytics, within ambulance dispatch systems through a case study approach. By examining urban, rural, and pandemic response scenarios, the study highlights the transformative impact of AI on decision-making processes. It also addresses the challenges of implementation, including data quality, infrastructure requirements, and ethical considerations. The findings emphasize the need for strategic planning and collaboration to harness AI’s full potential in creating scalable and efficient dispatch solutions.
Keywords: Artificial intelligence, ambulance dispatch, emergency medical services, machine learning, natural language processing, response optimization, real-time data analytics, resource allocation, healthcare technology, case study.
Cite This Article:
Please cite this article in press Abdullah Abdulaziz Enaitullah Alharbi et al., Integrating Artificial Intelligence Into Ambulance Dispatch Systems: A Case Study Approach..,Indo Am. J. P. Sci, 2024; 11 (10).
Number of Downloads : 10
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