Neonatal nurses' experiences with generative AI in clinical decision-making: a qualitative exploration in high-risk nicus.

ABSTRACT:

Background

Neonatal nurses in high-risk Neonatal Intensive Care Units (NICUs) navigate complex, time-sensitive clinical decisions where accuracy and judgment are critical. Generative artificial intelligence (AI) has emerged as a supportive tool, yet its integration raises concerns about its impact on nurses' decision-making, professional autonomy, and organizational workflows.

Aim

This study explored how neonatal nurses experience and integrate generative AI in clinical decision-making, examining its influence on nursing practice, organizational dynamics, and cultural adaptation in Saudi Arabian NICUs.

Methods

An interpretive phenomenological approach, guided by Complexity Science, Normalization Process Theory, and Tanner's Clinical Judgment Model, was employed. A pur

SUBMITTER: Alruwaili AN 

PROVIDER: S-EPMC11977934 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature