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Current Trends in Nursing II01:30

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Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
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Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
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Postgraduate nursing students' knowledge, attitudes, and practices regarding artificial intelligence: a qualitative

Xue Zhang1, Liu Yang2, Yongqi Bai3,4

  • 1School of Nursing, Southwest Medical University, LUzhou, Sichuan, China.

BMC Medical Education
|October 1, 2025
PubMed
Summary

Postgraduate nursing students recognize artificial intelligence (AI) benefits but also express concerns about its challenges and ethical implications. Enhanced AI education and support are recommended for future nursing practice.

Keywords:
Artificial intelligenceKAP theoryPostgraduate nursing studentsQualitative study

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Area of Science:

  • Nursing Education
  • Healthcare Technology
  • Artificial Intelligence in Healthcare

Background:

  • Artificial intelligence (AI) is transforming healthcare, impacting nursing practices.
  • Research on AI perceptions in nursing primarily focuses on undergraduates and clinicians, creating a gap for postgraduate students.
  • Understanding postgraduate nursing students' AI knowledge, attitudes, and practices is crucial for the discipline's advancement.

Purpose of the Study:

  • To explore the knowledge, attitudes, and practices of artificial intelligence (AI) among postgraduate nursing students.
  • To identify the perceptions of future nursing leaders regarding AI integration in healthcare.
  • To address the research gap concerning postgraduate nursing students' perspectives on AI.

Main Methods:

  • A descriptive-qualitative research approach was employed.
  • Semistructured interviews were conducted with seventeen nursing graduate students.
  • Thematic analysis was used to analyze transcribed interview data.

Main Results:

  • Three key themes emerged: cognitive perceptions of AI, attitudes toward AI, and practical dilemmas in AI use.
  • Students acknowledged AI's functional roles, emotional interactions, productivity enhancement, and research potential.
  • Concerns were raised regarding AI challenges, external factors, and ethical-legal considerations.

Conclusions:

  • Postgraduate nursing students perceive AI as beneficial for nursing roles and research but are aware of its challenges.
  • There is a need to enhance AI-related content in nursing education curricula.
  • Recommendations include improving financial and technical support, privacy protection, and legal frameworks for AI in nursing.