Content area

Abstract

Aim

This study evaluated the use of a generative pre-trained transformer (GPT)-based virtual patient in nursing education.

Background

In nursing education, conventional training methods such as interactions with real-life or standardized patients exhibit limitations such as psychological distress, repetitive training and insufficient cost- and time-effectiveness. Because of their capacity to emulate human-like dialogue, GPTs have emerged as a valuable resource for educational nursing activities.

Design

This study employed a mixed-methods design.

Methods

A GPT-based virtual patient with acute appendicitis was included. Twenty-eight new prospective nurses in South Korea, equipped with a head-mounted display, evaluated and communicated with the virtual patient. Usability, perceived virtual learning environment and self-efficacy in communication were measured. The GPT-generated dialogues and open-ended questions were subjected to qualitative analysis.

Results

Among the subfactors of usability, the subdomains of perceived accessibility of functions and perceived virtual learning environments achieved high scores. Furthermore, a notable increase in self-efficacy for communication was observed (t = -2.82, p = .009). The participants' experiences with the GPT-based virtual patient were divided into "educational effects and learner experience" and "technical limitations and the need for improvement." Evaluation of the dialogue between the GPT-based virtual patient and participants revealed that the readability subdomain achieved the highest score, whereas the accuracy subdomain achieved the lowest score.

Conclusions

The findings of the present study provide insights into the advantages of employing GPT-based virtual patients, particularly regarding the perceived accessibility of functions, high scores for immersion and enhanced self-efficacy of communication.

Details

Business indexing term
Research method
Title
Use of a generative pre-trained transformer-based virtual patient for health assessment and communication training in nursing education: A mixed-methods study
Publication title
Volume
88
First page
104536
End page
104536
Number of pages
9
Publication year
2025
Publication date
Oct 2025
Publisher
Elsevier Limited
Place of publication
Kidlington
Country of publication
United Kingdom
ISSN
14715953
e-ISSN
18735223
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
ProQuest document ID
3270292436
Document URL
https://www.proquest.com/scholarly-journals/use-generative-pre-trained-transformer-based/docview/3270292436/se-2?accountid=208611
Copyright
© 2025 Elsevier Ltd
Last updated
2025-11-19
Database
ProQuest One Academic