Perceived worries in the adoption of artificial intelligence among nurses in neonatal intensive care units.

Journal: BMC nursing
Published Date:

Abstract

INTRODUCTION: Artificial Intelligence (AI) comprises computational algorithms designed to analyze data, learn patterns, and execute tasks traditionally requiring human cognition. These models can support public health initiatives, expedite clinical care, and improve diagnosis accuracy. Thus, artificial intelligence in healthcare sectors has the potential to enhance nursing care by assisting nurses with tasks like documentation, workflow improvement, and decision-making, while reducing workforce stress. This study, guided by the Technology Acceptance Model (TAM), assesses perceived worries regarding AI adoption among nurses in neonatal intensive care units (NICUs).

Authors

  • Ahmad Ayed
    Faculty of Nursing, Arab American University, Jenin, Palestine.
  • Ahmad Batran
    Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
  • Ibrahim Aqtam
    Department of Nursing, Ibn Sina College for Health Professions, Nablus University for Vocational and Technical Education, Nablus, Palestine. ibrahim.aqtam@nu-vte.edu.ps.
  • Malakeh Z Malak
    Community Health Nursing, Faculty of Nursing, Al-Zaytoonah University of Jordan, Amman, Jordan.
  • Moath Abu Ejheisheh
    Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
  • Mosaab Farajallah
    Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
  • Lamees Farraj
    Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.
  • Sanaa Alkhatib
    Faculty of Allied Medical Sciences, Department of Nursing, Palestine Ahliya University, Bethlehem, Palestine.

Keywords

No keywords available for this article.