Development and Evaluation of a Large Language Model - Based Training Program for Nurses in Public Health Emergencies
1 other identifier
interventional
204
1 country
1
Brief Summary
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.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Oct 2024
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 1, 2024
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2024
CompletedFirst Submitted
Initial submission to the registry
August 19, 2025
CompletedFirst Posted
Study publicly available on registry
August 26, 2025
CompletedAugust 26, 2025
August 1, 2025
3 months
August 19, 2025
August 19, 2025
Conditions
Outcome Measures
Primary Outcomes (1)
Comprehensive Emergency Response Capability Total Score Nurse's Self-Assessment Capability Total Score
Baseline (pre-training) and immediately post-intervention (after 1 month of training)
Study Arms (2)
LLM-Assisted PHE Training Group
OTHERParticipants 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)
Standard PHE Training Group
OTHERParticipants 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)
Interventions
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.
Eligibility Criteria
You may qualify if:
- Holds a valid nursing professional qualification certificate;
- ≤5 years of nursing work experience;
- Voluntarily agrees to participate in the training program。
You may not qualify if:
- 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)
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
The Affiliated Hospital of Guizhou Medical University
Guiyang, Guizhou, 550004, China
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, INVESTIGATOR
- Purpose
- SUPPORTIVE CARE
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 19, 2025
First Posted
August 26, 2025
Study Start
October 1, 2024
Primary Completion
December 31, 2024
Study Completion
December 31, 2024
Last Updated
August 26, 2025
Record last verified: 2025-08
Data Sharing
- IPD Sharing
- Will not share