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

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

The goal of this randomized controlled trial is to evaluate the immediate efficacy of a Large Language Model (LLM)-assisted training program in enhancing nurses' emergency response capabilities in 204 practicing nurses with ≤5 years of experience from tertiary hospitals in Guiyang, China, focusing on public health emergencies (PHEs). The main questions it aims to answer are:

1. Does LLM-assisted training improve nurses' comprehensive emergency response capabilities in PHEs?
2. Does it specifically enhance rescue skills and occupational protection abilities? Researchers will compare the experimental group (receiving routine PHE training + LLM-assisted learning) to the control group (receiving routine PHE training only) to see if LLM supplementation leads to significantly greater improvements in targeted emergency competencies.

Participants will:

Complete pre- and post-training assessments (Nurse Self-Assessment Scale for Emergency Response Ability, Nurse's Emergency Response Capacity Scale for PHEs).

Undergo a one-month PHE training program. (Experimental Group Only): Use LLMs for knowledge review, question answering, and exploring unfamiliar concepts during the training period.

Inclusion Criteria:

• Holds a valid nursing professional qualification certificate；
• ≤5 years of nursing work experience；
• Voluntarily agrees to participate in the training program。

Exclusion Criteria:

• Inability to complete the 1-month training program (e.g., planned leave, transfer, or resignation during the study period)
• Prior experience using Large Language Models (LLMs) for professional training (to avoid confounding effects)
• Refusal to comply with group assignment protocols (e.g., control group participants attempting to use LLMs)