aceArtificial intelligence in nursing practice: a qualitative study of nurses’ perspectives on opportunities, challenges, and ethical implications
BACKGROUND: The study aims to explore nurses' views on the effects of artificial intelligence (AI) in nursing, focusing on their understanding, practical applications, ethical considerations, and perceived opportunities and threats. METHODS: This qualitative study used semi[Formula: see text]structured interviews to gain comprehensive insights from clinical nurses, adhering to the Standards for Reporting Qualitative Research for methodological rigor. After obtaining ethical approval, researchers conducted semi[F…
USAID, USACE team up to renovate nursing school in Georgia (5139590214) by U.S. Army Corps of Engineers Europe District from Wiesbaden, Germany. Public domain
A qualitative study published October 14, 2025 interviewed 25 clinical nurses about artificial intelligence in nursing. Researchers coded responses into four themes covering how nurses conceptualize AI, perceived opportunities, perceived threats, and ethical and psychological concerns, finding a foundational understanding alongside mixed views on impact.
The findings matter because they show frontline nurses anticipate both practical help and serious professional and ethical risks from the same tools, suggesting adoption will depend on more than technical performance. Uncertainty remains about how these perceptions translate into measured outcomes, how different specialties or patient groups would view AI, and what training and policy would effectively address accountability, data security, and preservation of humanistic care.
- Qualitative study conducted semi-structured interviews with 25 clinical nurses after ethical approval.
- Analysis identified four themes: conceptualizations of AI, opportunities, threats, and ethical and psychological concerns.
- Nurses reported foundational understanding of AI definitions and both positive and negative impacts on practice.
- Authors concluded integration requires targeted training, institutional preparedness, and interdisciplinary collaboration in digital literacy and ethical reasoning.
Clinical nurses perceived that AI applied in nursing practice could reduce workload and improve efficiency and patient care.
The rundown
By the publication date of 2025-10-14, researchers had interviewed 25 clinical nurses using semi-structured interviews adhering to Standards for Reporting Qualitative Research, exploring basic concepts, applications, ethical and social implications, and benefits and drawbacks.
Opportunities identified included workload reduction and efficiency gains, while threats included surveillance anxiety, unsuitability in psychiatric care contexts, risks of misuse or systemic bias, and concerns about emotional disconnection and dehumanizing the healthcare environment.
Sources
- Peer-reviewedBMC Nursing2025-10-14
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