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Determining pediatric nurses' anxiety levels, concerns, and metaphor perceptions towards artificial intelligence

Şerife Tutar1, Hande Özgörü2, Züleyha Ögür3

  • 1Department of Pediatric Nursing, Faculty of Health Sciences, Süleyman Demirel University, Isparta, Turkey.

Journal of Pediatric Nursing
|September 13, 2025
PubMed
Summary

Pediatric nurses show significant anxiety towards artificial intelligence (AI), with most holding negative views due to concerns about empathy and ethics, highlighting a need for AI training.

Keywords:
Artificial intelligenceChild health careChild health technologiesPediatric nursing

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Area of Science:

  • Nursing
  • Artificial Intelligence
  • Healthcare Technology

Background:

  • Pediatric nurses' perceptions of artificial intelligence (AI) are crucial for its integration into clinical practice.
  • Understanding nurses' anxiety, concerns, and metaphors regarding AI is essential for effective implementation.

Purpose of the Study:

  • To determine the anxiety levels, concerns, and metaphor perceptions of pediatric nurses concerning AI technologies.
  • To explore the sentiment of pediatric nurses towards AI in pediatric nursing.

Main Methods:

  • A mixed-method research design was employed with 422 pediatric nurses in Turkey.
  • Data collection involved an Introductory Information Form, the Artificial Intelligence Anxiety Scale, and semi-structured interviews.

Main Results:

  • The average score on the Artificial Intelligence Anxiety Scale was 48.29 ± 13.53.
  • Sentiment analysis revealed that 69.5% of nurses had negative perspectives on AI use in pediatric nursing.
  • Concerns about AI in pediatric nursing were predominantly negative, with 94.9% of responses indicating worry.

Conclusions:

  • Pediatric nurses largely perceive AI negatively, despite acknowledging its potential benefits for workload and care quality.
  • Key concerns include empathy, role shifts, ethics, credibility, technical issues, privacy, and malpractice.
  • Targeted training to address knowledge gaps is vital for the safe and effective adoption of AI in pediatric care.