Evaluating the Impact of Artificial Intelligence Tools on Nursing Workflow and Care Coordination Processes
Posted: Oct 26, 2022
Abstract
The integration of artificial intelligence into healthcare represents one of the most significant technological transformations in modern medicine. While substantial research has examined AI applications for diagnostic support and treatment planning, comparatively little attention has been directed toward understanding how AI tools specifically impact nursing workflow and care coordination processes. Nursing constitutes the largest healthcare profession and serves as the central coordination point for patient care, making the effects of AI implementation on nursing practice particularly consequential for healthcare delivery outcomes. This study addresses this critical gap by examining the nuanced ways in which AI tools reshape nursing work patterns, communication flows, and care coordination mechanisms in acute care environments. Traditional nursing workflow research has focused on efficiency improvements through electronic health record optimization and process redesign. However, the emergence of AI-powered tools introduces fundamentally different dynamics, including predictive analytics, automated documentation, and intelligent task prioritization. These technologies promise to alleviate nursing documentation burden and enhance clinical decision-making, but their implementation raises important questions about how algorithmic systems interact with nursing clinical judgment, interprofessional communication, and the holistic nature of patient care. Our research moves beyond simplistic efficiency metrics to explore the complex interplay between AI systems and the cognitive, relational, and coordinative dimensions of nursing practice.
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