Exploring nursing students’ communication experiences with artificial intelligence–supported virtual patients: a qualitative study

Effective communication is essential in nursing, and artificial intelligence (AI) tools such as ChatGPT are increasingly integrated into nursing education. This phenomenological study explores how ChatGPT-supported virtual patient scenarios influence nursing students’ empathy and communication skills. Third-year nursing students enrolled in a Family Health Nursing elective interacted with a virtual patient through predefined ChatGPT prompts simulating a counseling session. Data were collected through focus group interviews and online reflective diaries. Thematic analysis revealed three themes: “Unrealistic empathy and communication experience”, “Solution-oriented and effective communication experience”, “Communication and empathy awareness: Future communication strategies and professional preparation” Although participants perceived ChatGPT-supported virtual patient communication as providing a less realistic communication and empathy experience than real patient interactions, they also reported that ChatGPT’s interaction style offered a structured and solution-oriented communication experience. Furthermore, the ChatGPT-supported virtual patient communication experience was perceived as helping students make reflection and self-assessment about communication and empathy, and identify areas for improvement before interacting with real patients. These findings suggest that ChatGPT-supported virtual patient communication cannot replace real patient encounters, but it can serve as a complementary educational tool that encourages reflective learning and prepares nursing students for subsequent clinical communication experiences.

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Publication Details

Journal
BMC Nursing
Published
2026-10-09
DOI
https://doi.org/10.1186/s12912-026-05448-4
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
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article

Exploring nursing students’ communication experiences with artificial intelligence–supported virtual patients: a qualitative study

Ayşegül Korkmaz Doğdu, Ayşe Dağıstan Akgöz
BMC Nursing
Artificial Intelligence in Healthcare and Education
article

Exploring nursing students’ communication experiences with artificial intelligence–supported virtual patients: a qualitative study

Ayşegül Korkmaz Doğdu, Ayşe Dağıstan Akgöz
article en

Abstract

Effective communication is essential in nursing, and artificial intelligence (AI) tools such as ChatGPT are increasingly integrated into nursing education. This phenomenological study explores how ChatGPT-supported virtual patient scenarios influence nursing students’ empathy and communication skills. Third-year nursing students enrolled in a Family Health Nursing elective interacted with a virtual patient through predefined ChatGPT prompts simulating a counseling session. Data were collected through focus group interviews and online reflective diaries. Thematic analysis revealed three themes: “Unrealistic empathy and communication experience”, “Solution-oriented and effective communication experience”, “Communication and empathy awareness: Future communication strategies and professional preparation” Although participants perceived ChatGPT-supported virtual patient communication as providing a less realistic communication and empathy experience than real patient interactions, they also reported that ChatGPT’s interaction style offered a structured and solution-oriented communication experience. Furthermore, the ChatGPT-supported virtual patient communication experience was perceived as helping students make reflection and self-assessment about communication and empathy, and identify areas for improvement before interacting with real patients. These findings suggest that ChatGPT-supported virtual patient communication cannot replace real patient encounters, but it can serve as a complementary educational tool that encourages reflective learning and prepares nursing students for subsequent clinical communication experiences.

BMC Nursing
Akdeniz University (TR)
Openalex Percentile: Top 19%
Artificial Intelligence in Healthcare and Education
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Exploring nursing students’ communication experiences with artificial intelligence–supported virtual patients: a qualitative study — Ayşegül Korkmaz Doğdu, Ayşe Dağıstan Akgöz · BMC Nursing (2026) | TGRS Research Map | TGRS