Evaluation of Nurses' Perceptions and Readiness for Artificial Intelligence Integration in Healthcare: A Cross-Sectional Study in Turkey
Abstract
AIM
To determine the perceptions and readiness of nurses regarding the integration of artificial intelligence (AI) into healthcare services.
DESIGN
A descriptive cross-sectional study.
METHODS
Data were collected from 388 nurses across Turkey using an online questionnaire designed to gather sociodemographic information, perceptions (measured by attitudes) and readiness (assessed by AI knowledge and confidence) toward artificial intelligence. Statistical analyses, including independent t-tests and ANOVA, were used to examine group differences. The study adhered to ethical principles and followed the STROBE Statement guidelines for cross-sectional research.
RESULTS
Findings revealed that nurses' knowledge of AI in healthcare was generally limited, though many participants expressed optimism about its potential to improve efficiency, enhance patient care quality and alleviate nurse burnout. However, concerns about patient privacy and ethical challenges were identified as significant challenges to AI integration in healthcare settings.
CONCLUSION
The study underscores that while nurses recognise the potential benefits of AI, there is a significant need to address their limited knowledge and concerns regarding ethical and privacy issues. Educational initiatives and ethical frameworks are essential to facilitate AI's successful implementation in nursing practice.
IMPACT
This study emphasises the necessity of incorporating AI-related education into nursing curricula and highlights…
How strong is the evidence?
Evidence Hub reads this as a cross-sectional, done in people. Its evidence level is 4 of 5 (Low · observational). Observational designs can show an association but not prove cause.
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