Development and Evaluation of a Large Language Model - Based Training Program for Nurses in Public Health Emergencies

"A hybrid training program integrating the hospital's standard public health emergency (PHE) curriculum with Large Language Model (LLM) technology as an auxiliary learning tool. Participants receive:~* Standardized PHE training (online lectures + offline simulations) covering professional knowledge, skills, and emergency drills (e.g., infectious disease response, trauma management).~* LLM-enabled interactive support: Structured guidance to use LLMs for:~Reviewing session content Resolving knowledge uncertainties via Exploring unfamiliar PHE concepts~• Duration: 1 month, with 20-minute sessions. Distinguishing feature: Uses LLMs to dynamically adapt to individual learning needs, enabling on-demand knowledge reinforcement and overcoming spatiotemporal limitations of traditional training."

"The hospital's existing public health emergency (PHE) training program without AI augmentation. Participants receive:~* Identical core content as the experimental group: Professional knowledge, skills training, and emergency drills for PHE response (e.g., disaster protocols, infection control).~* Explicit restriction: Prohibited from using LLMs or any AI tools for learning support.~* Delivery: Hybrid format (online + offline), 1-month duration, 20-minute sessions.~Distinguishing feature: Represents traditional training methods reliant on instructor-led content without personalized, on-demand AI-driven reinforcement."