Can Generative AI Become a Partner for Disaster Drill Planners?: Study on Disaster Drill Scenarios and Evaluations Using Generative AI

Objectives: This study examines the potential of generative AI, specifically ChatGPT®, in enhancing disaster training planning and evaluation. It aims to address the rise in emerging infectious diseases, extreme weather events, and other untested disaster scenarios by assessing how AI can simplify the creation and evaluation of training scenarios, thereby increasing efficiency and effectiveness.

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Publication Details

Journal
Health Emergency and Disaster Nursing
Published
2025-03-28
DOI
https://doi.org/10.24298/hedn.2024-abst10
Citations
1
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
1.15
Controls
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article

Can Generative AI Become a Partner for Disaster Drill Planners?: Study on Disaster Drill Scenarios and Evaluations Using Generative AI

Yoshimitsu TAKAYAMA
1 citations
Health Emergency and Disaster Nursing
Reservoir Engineering and Simulation Methods
1.15
article

Can Generative AI Become a Partner for Disaster Drill Planners?: Study on Disaster Drill Scenarios and Evaluations Using Generative AI

Yoshimitsu TAKAYAMA
article en
1 citations

Abstract

Objectives: This study examines the potential of generative AI, specifically ChatGPT®, in enhancing disaster training planning and evaluation. It aims to address the rise in emerging infectious diseases, extreme weather events, and other untested disaster scenarios by assessing how AI can simplify the creation and evaluation of training scenarios, thereby increasing efficiency and effectiveness.

Health Emergency and Disaster NursingVol. 12(1)
National Archives and Records Administration (US)
Climate action
Openalex Percentile: Top 25%
Reservoir Engineering and Simulation Methods
1.15
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