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

The Affiliated Hospital Of Guizhou Medical University

Status: Completed

Conditions: The Emergency Response Capabilities of Nurses (Including Occupational Protection, Critical Thinking, Communication Skills and Humanistic Care, Etc.)

Treatments: Other: Standard Public Health Emergency Training Program; Other: LLM-Assisted Public Health Emergency Training Program

Study type: Interventional

Funder types: Other

Identifiers

NCT07141433

[2022]-4-2-2

Details and patient eligibility

About

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.

Enrollment: 204 patients

Sex: All

Ages: 18 to 35 months old

Volunteers: Accepts Healthy Volunteers

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)

Trial design

Primary purpose: Supportive Care

Allocation: Randomized

Interventional model: Parallel Assignment

Masking: Double Blind

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204 participants in 2 patient groups

LLM-Assisted PHE Training Group

Other group

Description:

Participants in this arm receive the routine hospital-based public health emergency (PHE) training program supplemented with Large Language Model (LLM) technology for auxiliary learning. During the 1-month training period, they are instructed and encouraged to use LLMs for: * Reviewing knowledge covered in training sessions * Answering questions and clarifying uncertainties * Exploring unfamiliar concepts related to PHE response (Intervention: Standard PHE curriculum + LLM-enabled interactive learning support)

Treatment:

Other: Standard Public Health Emergency Training Program

Other: LLM-Assisted Public Health Emergency Training Program

Standard PHE Training Group

Other group

Description:

Participants in this arm receive only the routine hospital-based public health emergency (PHE) training program. They are explicitly restricted from using LLMs or any other artificial intelligence tools for assisted learning throughout the 1-month training period. (Intervention: Standard PHE curriculum without AI augmentation)

Treatment:

Other: Standard Public Health Emergency Training Program