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Publications

Journal Article Epublish

PubMed: 40919282 DOI: 10.1177/23779608251376177

Insights Into Perceived Worries Regarding the Adoption of Artificial Intelligence Among Intensive Care Unit Nurses in the West Bank.

SAGE Open Nurs 11:23779608251376177

Authors: Ahmad Batran, Ahmad Ayed, Ibrahim Aqtam, Rasmieh Al-Amer, Elham H Othman, Moath Abu Ejheisheh, Haneen Nasser Al Daamsa, Sanaa Alkhatib, Mosaab Farajallah

Affiliations

  • Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
  • Faculty of Nursing, Arab American University, Jenin, Palestine.
  • Department of Nursing, Nablus University for Vocational and Technical Education, Ibn Sina College for Health Professions, Nablus, Palestine.
  • Faculty of Nursing, Yarmouk University, Irbid, Jordan.
  • Faculty of Nursing, Applied Science Private University, Amman, Jordan.

Abstract

BACKGROUND

The integration of artificial intelligence (AI) into healthcare is advancing rapidly, yet little is known about how ICU nurses perceive this shift, particularly in low-resource settings.

OBJECTIVES

This study aimed to examine ICU nurses' perceived concerns regarding AI adoption, focusing on awareness, prior experience, and levels of worry related to AI integration.

METHODS

A cross-sectional survey was conducted among 235 ICU nurses from nine hospitals in the West Bank. Data were collected using the Worries of Applying Artificial Intelligence in Healthcare Questionnaire (WAAI-HCQ). Descriptive statistics and regression analyses were performed using SPSS.

RESULTS

Nurses demonstrated moderate AI awareness (M = 2.6, SD = 0.5) and limited prior experience (mean = 2.3, SD = 0.5). The overall worry regarding AI was moderate (M = 3.2, SD = 0.9), with the greatest concerns centered on its impact on healthcare providers (M = 3.3, SD = 1.0) and the least on regulatory and ethical issues (M = 2.9, SD = 0.7). Regression analysis revealed that AI awareness significantly predicted higher worry levels (B = 2.007, p < .001), while prior experience with AI predicted reduced worry (B = -0.952, p < .001). The findings suggest that greater AI awareness without practical experience may lead to increased apprehension, while hands-on exposure reduces anxiety and builds confidence.

CONCLUSIONS

While ICU nurses recognized the potential benefits of AI, concerns about job displacement, depersonalization of care, and workflow disruption were prevalent. These findings underscore the need for targeted AI education, practical training, and supportive policies that address ethical and workforce-related implications. Context-specific strategies are essential to enhance nurses' readiness and confidence in adopting AI technologies in critical care settings.

MeSH

Regression Analysis, Nurses, Intelligence, Intensive Care Units, Artificial Intelligence