Artificial Intelligence Driven Optimized Resource Allocation In Emergencies

Authors

  • Sharmila Patil

DOI:

https://doi.org/10.70135/seejph.vi.5962

Abstract

In emergency priority situations, efficient resource allocation is vital for a rapid and effective response. Resources such as human , equipment, and information must be dynamically managed to meet urgent demands while upholding operational security. A strategic approach is required to prioritize resources based on the severity of the situation, ensuring critical areas receive timely support. Implementing robust security measures helps protect sensitive information and prevent unauthorized access, preserving the integrity of emergency response efforts. Integrating advanced technologies, including real-time tracking and data analysis, can enhance decision-making, optimize resource distribution, and improve overall preparedness and responsiveness.

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Published

2025-03-21

How to Cite

Patil, S. (2025). Artificial Intelligence Driven Optimized Resource Allocation In Emergencies. South Eastern European Journal of Public Health, 3944–3949. https://doi.org/10.70135/seejph.vi.5962

Issue

Section

Articles