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.

Study Overview

Study Type

Interventional

Enrollment (Actual)

204

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

    • Guizhou
      • Guiyang, Guizhou, China, 550004
        • The Affiliated Hospital of Guizhou Medical University

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child

Accepts Healthy Volunteers

Yes

Description

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)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Double

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Other: LLM-Assisted PHE Training Group

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)

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.

Other: Standard PHE Training Group

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)

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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Comprehensive Emergency Response Capability Total Score Nurse's Self-Assessment Capability Total Score
Time Frame: Baseline (pre-training) and immediately post-intervention (after 1 month of training)
Baseline (pre-training) and immediately post-intervention (after 1 month of training)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

October 1, 2024

Primary Completion (Actual)

December 31, 2024

Study Completion (Actual)

December 31, 2024

Study Registration Dates

First Submitted

August 19, 2025

First Submitted That Met QC Criteria

August 19, 2025

First Posted (Estimated)

August 26, 2025

Study Record Updates

Last Update Posted (Estimated)

August 26, 2025

Last Update Submitted That Met QC Criteria

August 19, 2025

Last Verified

August 1, 2025

More Information

Terms related to this study

Other Study ID Numbers

  • [2022]-4-2-2

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on LLM-Assisted Public Health Emergency Training Program

Subscribe